{"title":"Jetson \u0026 Other Single Board Computers","description":"\u003cp\u003eA compact board like Raspberry Pi but built for heavier AI\/graphics work (e.g. NVIDIA Jetson). Runs AI models and computer-vision tasks fast on-device, without needing a full desktop PC.\u003c\/p\u003e\u003cp\u003ePart of our \u003ca href=\"\/collections\/single-board-computers\"\u003eSingle Board Computers\u003c\/a\u003e range in \u003ca href=\"\/collections\/boards-computing\"\u003eBoards \u0026amp; Computing\u003c\/a\u003e.\u003c\/p\u003e","products":[{"product_id":"nvidia-jetson-orin-nano-super-8gb-developer-kit-ai-powerhouse-1","title":"NVIDIA Jetson Orin Nano Super (8GB) Developer Kit - AI Powerhouse","description":"\n\u003ch2\u003eNVIDIA Jetson Orin Nano Super (8GB) Developer Kit - AI Powerhouse\u003c\/h2\u003e\n\u003ch2\u003eNVIDIA Jetson Orin Nano Super (8GB) - The Ultimate Edge AI Workstation\u003c\/h2\u003e\n\u003cp\u003eUnleash the full power of artificial intelligence with the  NVIDIA Jetson Orin Nano Super  Developer Kit. Delivering a staggering  67 TOPS  of AI performance, this \"Super\" variant is the most advanced entry-level AI workstation on the planet. Designed for autonomous robotics, real-time analytics, and advanced computer vision, it brings data-center level power to your desktop.\u003c\/p\u003e \u003ch3\u003eTechnical Specifications\u003c\/h3\u003e\n\u003cul\u003e \u003cli\u003e\n\u003cstrong\u003eAI Performance:\u003c\/strong\u003e 67 TOPS (Software-boosted Super Version)\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eGPU:\u003c\/strong\u003e NVIDIA Ampere architecture with 1024 CUDA cores\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eCPU:\u003c\/strong\u003e 6-core Arm Cortex-A78AE v8.2 64-bit\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eMemory:\u003c\/strong\u003e 8GB 128-bit LPDDR5 (68 GB\/s bandwidth)\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eConnectivity:\u003c\/strong\u003e Gigabit Ethernet, M.2 Key E (Wi-Fi\/BT), 4x USB 3.2 Gen 2\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eVideo:\u003c\/strong\u003e DisplayPort 1.2 support for 4K video\u003c\/li\u003e\n\u003c\/ul\u003e \u003ch3\u003eWhy the Jetson Orin Nano Super?\u003c\/h3\u003e\n\u003cp\u003eThis isn't just a hobbyist board; it's a professional development platform. With 80x the performance of the original Jetson Nano, it runs multiple concurrent AI application pipelines. Buying from our Bengaluru store ensures you avoid the heavy import duties and long customs delays of overseas orders-plus, you get local warranty protection.\u003c\/p\u003e \u003ch3\u003eReal-World Project Use Cases\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003e1. Warehouse Robotics:\u003c\/strong\u003e Develop autonomous mobile robots (AMRs) with real-time path planning and obstacle avoidance.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e2. Edge Video Analytics:\u003c\/strong\u003e Run deep learning models for crowd counting, PPE detection, or retail analytics on the device.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e3. Autonomous Drones:\u003c\/strong\u003e Power complex SLAM (Simultaneous Localization and Mapping) for indoor drone flight.\u003c\/p\u003e \u003chr\u003e \u003ch2\u003eFrequently Asked Questions (FAQ)\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003e1. Does it come with an SSD?\u003c\/strong\u003e\u003cbr\u003eThe kit includes a reference carrier board and power supply, but an NVMe SSD is highly recommended for best performance (sold separately).\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e2. Can it run ROS 2?\u003c\/strong\u003e\u003cbr\u003eYes, it is the primary platform for NVIDIA Isaac ROS, making it a dream for robotics engineers.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e3. What software stack does it use?\u003c\/strong\u003e\u003cbr\u003eIt runs the full NVIDIA JetPack SDK, including CUDA, cuDNN, and TensorRT.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e4. How is it powered?\u003c\/strong\u003e\u003cbr\u003eThe kit comes with a 19V DC power supply included in the box.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e5. Is this the original NVIDIA kit?\u003c\/strong\u003e\u003cbr\u003eYes, we only sell original NVIDIA Developer Kits with official serial numbers and warranty coverage.\u003c\/p\u003e\n \u003cp\u003eShop online at \u003ca href=\"https:\/\/techdepot.in\"\u003eTech Depot India\u003c\/a\u003e - India's trusted electronics components store. Fast delivery across Bengaluru, Delhi, Hyderabad.\u003c\/p\u003e \u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cdetails\u003e\n\u003csummary\u003eWhen will I receive my order?\u003c\/summary\u003e\n\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eIs technical support available?\u003c\/summary\u003e\n\u003cp\u003eYes, responsive support via email and WhatsApp for setup, troubleshooting, and application guidance.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eWhat is your return policy?\u003c\/summary\u003e\n\u003cp\u003eNot applicable for user damage or misuse.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eAre bulk discounts available?\u003c\/summary\u003e\n\u003cp\u003eYes, wholesale pricing on orders of 10+ units. Contact us via WhatsApp or email for a custom quote.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003ch2\u003eBuy NVIDIA Jetson Orin Nano Super (8GB) Developer Kit - AI Powerhouse Online in India\u003c\/h2\u003e\n\u003cp\u003ePurchase the  NVIDIA Jetson Orin Nano Super (8GB) Developer Kit - AI Powerhouse  online at  Tech Depot India  - India's most trusted electronics components store. We deliver across all major cities including Bengaluru, Delhi, Hyderabad, Ahmedabad, Jaipur, and Surat.\u003c\/p\u003e\n\u003cp\u003eLooking to buy \u003cstrong\u003eNVIDIA Jetson Orin Nano Super (8GB) Developer Kit - AI Powerhouse\u003c\/strong\u003e at the best price in India? Tech Depot India offers competitive pricing, bulk discounts for orders of 10+ units, and dedicated technical support via email and WhatsApp. Whether you are a hobbyist, student, or professional engineer, we have everything you need for your electronics projects.\u003c\/p\u003e\u003ch2\u003eNVIDIA Jetson Orin Nano Super (8GB) Developer Kit Specifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003eUp to 67 TOPS (Super mode, INT8 sparse)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Mode\u003c\/td\u003e\n\u003ctd\u003eConfigurable 7W to 25W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eKey Features\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eRuns the full NVIDIA JetPack SDK — CUDA, cuDNN and TensorRT — for edge AI development\u003c\/li\u003e\n\u003cli\u003eCompact carrier-board form factor built for always-on, on-device inference\u003c\/li\u003e\n\u003cli\u003eHandles multiple concurrent neural network models for vision and robotics workloads\u003c\/li\u003e\n\u003cli\u003eSame software stack as larger Jetson modules, so projects scale up without a rewrite\u003c\/li\u003e\n\u003cli\u003eReady for camera, sensor and actuator I\/O out of the box for prototyping\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eApplications\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eEdge AI and computer vision prototyping (object detection, pose estimation)\u003c\/li\u003e\n\u003cli\u003eAutonomous robotics and drone companion computing\u003c\/li\u003e\n\u003cli\u003eSmart camera and video analytics projects\u003c\/li\u003e\n\u003cli\u003eGenerative AI and small LLM experimentation at the edge\u003c\/li\u003e\n\u003cli\u003eUniversity and research labs building embedded AI systems\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBuy NVIDIA Jetson Orin Nano Super (8GB) Developer Kit - AI Powerhouse Online in India at Tech Depot India\u003c\/h2\u003e\u003cp\u003eBrowse the full  Single Board Computers  range or message us on WhatsApp for bulk orders.\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":48741253841153,"sku":"TTD-3302","price":29150.0,"currency_code":"INR","in_stock":false}]},{"product_id":"zimaboard-single-board-server","title":"ZimaBoard Single Board Server","description":"\u003cp\u003eOur team in Bengaluru is available reliable to support your journey from product selection to project completion.\u003c\/p\u003e\u003cp\u003eThe ZimaBoard is a compact x86-based single board server that combines Intel Celeron processing power with integrated storage and networking capabilities in a fanless design. Systems administrators, IoT developers, and edge computing professionals use ZimaBoard to deploy lightweight servers, network appliances, and containerized applications without requiring traditional rack-mounted infrastructure. This product solves the challenge of deploying powerful server functionality in space-constrained environments while maintaining low power consumption and silent operation.\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e \u003ctr\u003e \u003ctd\u003eSpecification\u003c\/td\u003e \u003ctd\u003eDetails\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProduct Type\u003c\/td\u003e \u003ctd\u003ex86 Single Board Server Computer\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eBrand\u003c\/td\u003e \u003ctd\u003eZIMA\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOrigin\u003c\/td\u003e \u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProcessor\u003c\/td\u003e \u003ctd\u003eIntel Celeron N3350 (2-core, 2.4GHz)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eMemory\u003c\/td\u003e \u003ctd\u003eDDR4 8GB\/16GB (configurable)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eStorage\u003c\/td\u003e \u003ctd\u003e256GB\/512GB NVMe SSD\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eNetwork Interfaces\u003c\/td\u003e \u003ctd\u003eDual Gigabit Ethernet (RJ45)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003ePower Consumption\u003c\/td\u003e \u003ctd\u003e12-15W typical operation\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eCooling\u003c\/td\u003e \u003ctd\u003ePassive fanless design\u003c\/td\u003e \u003c\/tr\u003e \u003c\/table\u003e\u003ch2\u003eWhy Choose ZimaBoard Single Board Server?\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGST Invoice\u003c\/strong\u003e - A GST invoice is included with every order.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eExpert Support\u003c\/strong\u003e - Dedicated technical help on WhatsApp and email.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePan-India Delivery\u003c\/strong\u003e - Shipped across Bengaluru, Delhi NCR, Hyderabad and all of India.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTrusted by Makers\u003c\/strong\u003e - Used by students, hobbyists and professionals nationwide.\u003c\/p\u003e\u003ch2\u003eKey Features of ZimaBoard Single Board Server\u003c\/h2\u003e\u003cul\u003e \u003cli\u003ex86 Architecture: Full compatibility with Linux, Windows, and FreeBSD operating systems without ARM emulation limitations, enabling deployment of enterprise server software\u003c\/li\u003e \u003cli\u003eDual Gigabit Ethernet: Two independent network interfaces support network redundancy, failover configurations, and multi-WAN routing for reliable connectivity\u003c\/li\u003e \u003cli\u003eFanless Design: Passive aluminum cooling ensures completely silent operation with zero maintenance, ideal for noise-sensitive environments like offices and studios\u003c\/li\u003e \u003cli\u003eLow Power Consumption: 12-15W typical power draw enables reliable operation with minimal electricity costs and environmental impact, suitable for always-on server deployments\u003c\/li\u003e \u003cli\u003eCompact Form Factor: 120x120mm footprint fits into tight spaces, wall mounts, or compact enclosures without requiring dedicated server rack space\u003c\/li\u003e \u003cli\u003eExpandable Storage: NVMe SSD interface supports fast storage upgrades up to 2TB capacity for data-intensive applications and database servers\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003ePerfect For\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eNetwork Appliances: Deploy pfSense, OpenWrt, or VyOS firewalls and routers with dual Gigabit Ethernet for advanced network management and security in small offices and remote locations\u003c\/li\u003e \u003cli\u003eEdge Computing Servers: Run containerized applications using Docker and Kubernetes for real-time data processing, IoT gateway functions, and distributed computing at network edges\u003c\/li\u003e \u003cli\u003eNAS and Storage Solutions: Configure as a network-attached storage device using FreeNAS or TrueNAS for centralized file backup and media serving in small business environments\u003c\/li\u003e \u003cli\u003eDevelopment and Testing: Create isolated Linux development environments, CI\/CD pipeline runners, and application testing servers without consuming significant power or physical space\u003c\/li\u003e \u003cli\u003eHome Lab Infrastructure: Build compact home server setups for media streaming, home automation control, VPN gateways, and personal cloud storage with minimal noise and power usage\u003c\/li\u003e \u003cli\u003eIndustrial IoT Gateways: Deploy as edge computing nodes for sensor data aggregation, real-time processing, and cloud synchronization in manufacturing and smart building applications\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003eHow to Use\u003c\/h2\u003e\u003cp\u003eSetting up the ZimaBoard begins with connecting the power adapter and network cables to the dual Gigabit Ethernet ports. The board ships with pre-installed operating system options; you can boot directly into Linux, Windows, or your chosen OS. Connect a display via HDMI and USB peripherals to configure initial settings, or access the system remotely via SSH over the network for headless server operation. The BIOS is fully accessible for advanced users requiring custom boot configurations, virtualization settings, or hardware optimization.\u003c\/p\u003e\u003cp\u003eFor server deployments, configure the dual Ethernet ports for your specific networking topology - use one for management and one for application traffic, or bond them together for increased bandwidth. Install additional software packages via standard package managers (apt, yum, pacman) depending on your chosen Linux distribution. For containerized applications, install Docker and pull your application images. The fanless passive cooling means no maintenance is required; simply ensure adequate airflow around the aluminum chassis. Monitor system temperatures and performance using standard Linux tools like htop and lm-sensors, though the low-power architecture rarely experiences thermal issues under normal operation.\u003c\/p\u003e\u003ch2\u003eProduct Overview\u003c\/h2\u003e\u003cp\u003eThe ZimaBoard Single Board Server represents a breakthrough in compact computing architecture by integrating a full x86 processor, DDR4 memory, NVMe SSD storage, and dual Gigabit Ethernet ports on a single mainboard measuring just 120x120mm. Unlike ARM-based single board computers, the ZimaBoard runs full desktop and server operating systems including Linux, Windows, and FreeBSD natively without emulation, enabling developers to deploy production-grade applications with complete software compatibility. The fanless aluminum chassis with passive cooling ensures silent operation suitable for office environments, while the low 12-15W power consumption makes it ideal for always-on deployments.\u003c\/p\u003e\u003cp\u003eThe ZimaBoard architecture utilizes Intel's low-power Celeron processor paired with integrated graphics, supporting up to 16GB DDR4 RAM and 512GB NVMe SSD storage configurations. Dual Gigabit Ethernet ports enable network redundancy and load balancing for mission-critical applications, while USB 3.0 ports provide high-speed peripheral connectivity. The board includes HDMI output for direct display connection, making it suitable for headless server deployments or interactive applications. Its open-source friendly design with BIOS accessibility and standard Linux driver support ensures maximum flexibility for embedded systems development and custom server applications.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cdetails\u003e \u003csummary\u003eCan ZimaBoard run Windows Server or only Linux?\u003c\/summary\u003e \u003cp\u003eThe ZimaBoard can run both Windows and Linux operating systems. While it comes pre-configured with Linux, you can install Windows 10\/11 or Windows Server editions since it features a full x86 processor. However, Linux is recommended for server workloads due to lower resource consumption and better compatibility with the compact 12-15W power envelope. Windows installations may require additional optimization to maintain thermal efficiency.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eWhat is the maximum RAM and storage capacity?\u003c\/summary\u003e \u003cp\u003eThe ZimaBoard supports up to 16GB DDR4 SODIMM memory and 512GB NVMe SSD storage in standard configurations. While the board design theoretically supports these maximums, verify with the manufacturer for any future higher-capacity options. The NVMe M.2 slot uses standard 2280 form factor drives, allowing you to upgrade with commercially available SSDs. RAM is soldered on some models, so check your specific variant before purchase.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eIs the ZimaBoard suitable for reliable continuous operation?\u003c\/summary\u003e \u003cp\u003eYes, the ZimaBoard is specifically designed for continuous operation. Its low 12-15W power consumption, passive fanless cooling, and industrial-grade components support indefinite reliable uptime. The lack of moving parts eliminates mechanical failure risks associated with fans. For production deployments, implement standard server practices including regular backups, system monitoring, and thermal management to ensure maximum reliability and lifespan.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eCan I use both Ethernet ports simultaneously for different networks?\u003c\/summary\u003e \u003cp\u003eYes, both Gigabit Ethernet ports are fully independent and can be configured for different networks or bonded together for increased throughput. This enables advanced networking configurations including dual-WAN failover, network bridging, or separate management and data networks. Configure the ports through standard Linux networking tools (netplan, ifupdown, or NetworkManager) depending on your distribution.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eWhat operating systems are officially supported?\u003c\/summary\u003e \u003cp\u003eThe ZimaBoard officially supports Ubuntu Linux, Debian, CentOS, Fedora, and other mainstream Linux distributions. Windows 10\/11 and Windows Server are compatible but less commonly used due to resource constraints. FreeBSD is also supported for users requiring BSD-based server environments. Check the manufacturer's documentation for specific OS image downloads and pre-configured system images.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eAre bulk discounts available?\u003c\/summary\u003e \u003cp\u003eYes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.\u003c\/p\u003e \u003c\/details\u003e\u003ch2\u003eCustomer Support\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEmail:\u003c\/strong\u003e techdepotindia@gmail.com\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhatsApp:\u003c\/strong\u003e Available for setup and troubleshooting help\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOrder your ZimaBoard Single Board Server today and start building your next project.\u003c\/strong\u003e\u003c\/p\u003e\u003ch2\u003eBuy ZimaBoard Single Board Server Online in India\u003c\/h2\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48743609696513,"sku":"TTD-7955","price":17818.87,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/db4ee1a436975601f0c55ff76cde4a4e.jpg?v=1778060372"},{"product_id":"pinecube-dev-kit","title":"PineCube Dev Kit","description":"\u003cp\u003ePineCube Dev Kit\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd\u003eBrand\u003c\/td\u003e \u003ctd\u003ePine64\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eType\u003c\/td\u003e \u003ctd\u003eCompact Linux-capable development board kit\u003c\/td\u003e \u003c\/tr\u003e \u003c\/tbody\u003e \u003c\/table\u003e\u003ch2\u003eWhy Choose PineCube Dev Kit?\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGST Invoice\u003c\/strong\u003e - A GST invoice is included with every order.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eExpert Support\u003c\/strong\u003e - Dedicated technical help on WhatsApp and email.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePan-India Delivery\u003c\/strong\u003e - Shipped across Bengaluru, Delhi NCR, Hyderabad and all of India.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTrusted by Makers\u003c\/strong\u003e - Used by students, hobbyists and professionals nationwide.\u003c\/p\u003e\u003ch2\u003eKey Features of PineCube Dev Kit\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eCompact, low-cost board aimed at Linux-based embedded development\u003c\/li\u003e \u003cli\u003ePart of the Pine64 family of open, community-supported hardware\u003c\/li\u003e \u003cli\u003eSmall form factor suits embedded camera and IoT-style projects\u003c\/li\u003e \u003cli\u003eBacked by an active open-source community and documentation\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003ePerfect For\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eLearning embedded Linux development on compact hardware\u003c\/li\u003e \u003cli\u003eDIY networked-camera or IoT device projects\u003c\/li\u003e \u003cli\u003eHobbyist and maker open-hardware projects\u003c\/li\u003e \u003cli\u003ePrototyping compact Linux-based embedded applications\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cdetails\u003e\u003csummary\u003eDo you offer bulk pricing?\u003c\/summary\u003e\u003cp\u003eYes — message us on WhatsApp for bulk or business pricing on PineCube Dev Kit.\u003c\/p\u003e\u003c\/details\u003e\u003ch2\u003eCustomer Support\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEmail:\u003c\/strong\u003e techdepotindia@gmail.com\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhatsApp:\u003c\/strong\u003e Available for setup and troubleshooting help\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOrder your PineCube Dev Kit today and start building your next project.\u003c\/strong\u003e\u003c\/p\u003e\u003ch2\u003eBuy PineCube Dev Kit Online in India\u003c\/h2\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48743625982209,"sku":"TTD-8126","price":4311.02,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/de0ef6d339c8e0f515e68499f6792b64.jpg?v=1778060616"},{"product_id":"som-rk3399","title":"SOM-RK3399","description":"\u003cp\u003eThe SOM-RK3399 is a high-performance System-on-Module based on the Rockchip RK3399 dual-core ARM processor, designed for embedded computing and IoT applications requiring robust processing power. Embedded systems engineers, IoT developers, and industrial automation specialists use this module to build edge computing solutions, robotics controllers, and multimedia processing systems. It solves the challenge of integrating complex ARM-based computing into compact form factors while maintaining thermal efficiency and power optimization for battery-operated and always-on deployments.\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e \u003ctr\u003e \u003ctd\u003eSpecification\u003c\/td\u003e \u003ctd\u003eDetails\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProduct Type\u003c\/td\u003e \u003ctd\u003eARM System-on-Module (SoM)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProcessor\u003c\/td\u003e \u003ctd\u003eRockchip RK3399 Dual-Core ARM Cortex-A72 + Quad-Core Cortex-A53\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eCPU Clock Speed\u003c\/td\u003e \u003ctd\u003eUp to 2.0 GHz (A72), 1.5 GHz (A53)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eGPU\u003c\/td\u003e \u003ctd\u003eMali-T860 MP4 with OpenGL ES 3.2 support\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eRAM Options\u003c\/td\u003e \u003ctd\u003e2GB or 4GB LPDDR3\/LPDDR4\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eStorage\u003c\/td\u003e \u003ctd\u003e16GB\/32GB\/64GB eMMC or SSD support\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eVideo Codec Support\u003c\/td\u003e \u003ctd\u003e4K H.264\/H.265 encode\/decode, VP8\/VP9\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eConnectivity\u003c\/td\u003e \u003ctd\u003eDual Gigabit Ethernet, USB 3.0, PCIe 2.0\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003ePower Consumption\u003c\/td\u003e \u003ctd\u003e2-5W typical operation\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOperating Temperature\u003c\/td\u003e \u003ctd\u003e0-40°C industrial grade\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOrigin\u003c\/td\u003e \u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e \u003c\/tr\u003e \u003c\/table\u003e\u003ch2\u003eWhy Choose SOM-RK3399?\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGST Invoice\u003c\/strong\u003e - A GST invoice is included with every order.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eExpert Support\u003c\/strong\u003e - Dedicated technical help on WhatsApp and email.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePan-India Delivery\u003c\/strong\u003e - Shipped across Bengaluru, Delhi NCR, Hyderabad and all of India.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTrusted by Makers\u003c\/strong\u003e - Used by students, hobbyists and professionals nationwide.\u003c\/p\u003e\u003ch2\u003eKey Features of SOM-RK3399\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eDual-core ARM Cortex-A72 processors delivering 2.0 GHz performance for real-time processing and low-latency control applications in industrial automation\u003c\/li\u003e \u003cli\u003eMali-T860 MP4 GPU with 4K video hardware acceleration enabling efficient multimedia processing without CPU overhead in surveillance and streaming systems\u003c\/li\u003e \u003cli\u003eFlexible memory configuration with up to 4GB LPDDR4 RAM supporting multitasking and machine learning inference on edge devices\u003c\/li\u003e \u003cli\u003eIntegrated video codec engines supporting H.264\/H.265 encoding for bandwidth-optimized IoT video transmission and storage\u003c\/li\u003e \u003cli\u003eDual Gigabit Ethernet with advanced network offloading capabilities for high-throughput data acquisition and cloud connectivity\u003c\/li\u003e \u003cli\u003ePCIe 2.0 interface enabling expansion with NVMe SSDs, FPGA accelerators, and specialized industrial interface cards\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003ePerfect For\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eIndustrial IoT gateways and edge computing nodes requiring local AI inference and real-time sensor data processing with minimal latency\u003c\/li\u003e \u003cli\u003eEmbedded video surveillance systems performing multi-stream 4K H.265 encoding and on-device analytics for security applications\u003c\/li\u003e \u003cli\u003eRobotics controllers and autonomous systems needing dual-core deterministic processing for motor control and sensor fusion algorithms\u003c\/li\u003e \u003cli\u003eNetwork appliances including firewalls, routers, and load balancers leveraging dual Gigabit Ethernet and PCIe expansion capabilities\u003c\/li\u003e \u003cli\u003eMedical imaging and diagnostic equipment requiring GPU-accelerated image processing and real-time visualization\u003c\/li\u003e \u003cli\u003eMultimedia kiosks and digital signage systems with 4K display output and hardware-accelerated video playback\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003eHow to Use\u003c\/h2\u003e\u003cp\u003eTo deploy the SOM-RK3399, first select an appropriate carrier board compatible with the module's connector specifications, ensuring proper power delivery through dedicated power planes rated for peak current draw during A72 turbo mode. Install the module onto the carrier board with gentle downward pressure, securing it with provided mounting hardware to prevent mechanical stress on solder joints during thermal cycling. Flash the bootloader and operating system image (typically Linux-based distributions like Debian or custom Android variants) using USB recovery mode or SD card boot, ensuring proper device tree configuration for your specific carrier board variant.\u003c\/p\u003e\u003cp\u003eConfigure the device tree source files to enable required peripherals including Ethernet MAC addresses, USB port assignments, and PCIe lane allocation based on your application requirements. For optimal thermal management in continuous operation scenarios, implement active cooling solutions targeting junction temperatures below 85°C by monitoring thermal zones through sysfs interfaces. Utilize the heterogeneous processing architecture by offloading GPU-intensive workloads to the Mali-T860 using OpenGL ES or Vulkan APIs, while reserving the Cortex-A72 cores for time-critical control loops and interrupt handling to achieve balanced performance and power efficiency.\u003c\/p\u003e\u003ch2\u003eProduct Overview\u003c\/h2\u003e\u003cp\u003eThe SOM-RK3399 integrates a powerful dual-core ARM Cortex-A72 processor running at up to 2.0 GHz alongside a quad-core ARM Cortex-A53 cluster, delivering exceptional multi-threaded performance for demanding applications. The module features integrated Mali-T860 MP4 GPU acceleration, enabling hardware-accelerated graphics rendering and video codec processing at 4K resolution. This heterogeneous processing architecture allows developers to partition workloads efficiently, with high-performance cores handling critical real-time tasks while efficiency cores manage background processes, resulting in optimized power consumption for reliable operational deployments.\u003c\/p\u003e\u003cp\u003eBuilt on a 28nm process technology, the RK3399 SoC incorporates dedicated hardware blocks for video encoding\/decoding (H.264, H.265, VP8, VP9), neural processing acceleration, and advanced power management features. The module typically includes 2-4GB of LPDDR3\/LPDDR4 RAM and supports eMMC or SSD storage options, providing flexible memory configurations for various use cases. Integrated peripherals include dual Gigabit Ethernet, USB 3.0 host\/device support, PCIe lanes for expansion, and comprehensive I\/O interfaces, making it suitable for both prototyping and production-grade embedded systems without requiring extensive external component integration.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cdetails\u003e \u003csummary\u003eWhat is the difference between the Cortex-A72 and Cortex-A53 cores in the RK3399?\u003c\/summary\u003e \u003cp\u003eThe RK3399 implements a big.LITTLE architecture where dual Cortex-A72 cores provide high single-threaded performance for demanding tasks, while quad Cortex-A53 cores handle background processes efficiently. The A72 cores run at 2.0 GHz for peak performance, whereas A53 cores operate at 1.5 GHz for power-efficient sustained workloads. The kernel scheduler dynamically migrates threads between clusters based on load patterns, allowing applications to achieve optimal performance-per-watt ratios. For real-time applications, you can pin critical threads to A72 cores using CPU affinity masks to guarantee deterministic latency.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eCan the SOM-RK3399 handle 4K video encoding simultaneously on multiple streams?\u003c\/summary\u003e \u003cp\u003eYes, the integrated video encoder supports hardware-accelerated H.264 and H.265 encoding at 4K resolution. However, encoding multiple 4K streams simultaneously depends on bitrate targets and frame rates. Typically, you can achieve one 4K 30fps H.265 stream or two 1080p 60fps streams concurrently. The dedicated video engine operates independently from CPU cores, so encoding workload does not impact general system performance. For multi-stream requirements, implement software-based load balancing across multiple SOM-RK3399 modules in a distributed architecture.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eWhat operating systems are supported on the SOM-RK3399?\u003c\/summary\u003e \u003cp\u003eThe SOM-RK3399 supports multiple operating systems including Linux distributions (Debian, Ubuntu), Android variants, and real-time operating systems like Xenomai for deterministic applications. Rockchip provides official kernel support and device tree definitions for mainstream Linux kernels. For production deployments, we recommend using validated BSP (Board Support Package) releases from your carrier board manufacturer to ensure hardware stability and driver maturity. Custom RTOS implementations are feasible using bare-metal development or lightweight kernels like FreeRTOS, though this requires advanced embedded systems expertise.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eWhat power supply specifications are required for the SOM-RK3399?\u003c\/summary\u003e \u003cp\u003eThe SOM-RK3399 requires a stable 5V input supply capable of delivering 3-5A peak current during A72 turbo boost mode, with additional power rails for 1.8V, 1.2V, and 0.9V core supplies typically generated by integrated power management ICs on the carrier board. Implement proper input filtering with bulk capacitance (minimum 1000uF) to suppress voltage ripple below 100mV during transient load changes. For battery-powered applications, integrate a PMIC (Power Management IC) with dynamic voltage and frequency scaling to extend runtime by reducing core voltages during idle periods. Ensure ground plane continuity and thermal vias under the SoM to maintain stable power delivery and dissipate heat effectively.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eAre bulk discounts available?\u003c\/summary\u003e \u003cp\u003eYes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.\u003c\/p\u003e \u003c\/details\u003e\u003ch2\u003eCustomer Support\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEmail:\u003c\/strong\u003e techdepotindia@gmail.com\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhatsApp:\u003c\/strong\u003e Available for setup and troubleshooting help\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOrder your SOM-RK3399 today and start building your next project.\u003c\/strong\u003e\u003c\/p\u003e\u003ch2\u003eBuy SOM-RK3399 Online in India\u003c\/h2\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48743629160705,"sku":"TTD-8171","price":144882.13,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/f55bff1236d827baf06aea5a9f9b7f9c.jpg?v=1778060679"},{"product_id":"coral-mini-pcie-accelerator","title":"Coral Mini PCIe Accelerator","description":" \u003ch2\u003eCoral Mini PCIe Accelerator\u003c\/h2\u003e \u003cp\u003eThe Coral Mini PCIe Accelerator is a compact, high-performance machine learning inference accelerator that leverages Google's Edge TPU (Tensor Processing Unit) to deliver real-time AI processing at the edge. Machine learning engineers, embedded systems developers, and IoT solution architects use this device to deploy trained TensorFlow Lite models with ultra-low latency and minimal power consumption. It solves the critical challenge of running sophisticated neural networks on resource-constrained edge devices without relying on cloud connectivity, enabling privacy-preserving, offline AI inference for computer vision, natural language processing, and sensor data analysis applications.\u003c\/p\u003e \u003ch2\u003eProduct Overview\u003c\/h2\u003e\n\u003cp\u003eThe Coral Mini PCIe Accelerator integrates Google's Edge TPU silicon into a compact Mini PCIe form factor, enabling seamless integration into embedded systems, industrial gateways, and edge computing platforms. The Edge TPU is purpose-built for quantized inference operations, delivering up to 4 TOPS (Tera Operations Per Second) of performance while consuming minimal power. This accelerator supports TensorFlow Lite quantized models and provides deterministic, low-latency inference suitable for real-time applications requiring sub-100ms response times. The device communicates via the standard Mini PCIe interface, making it compatible with a wide range of single-board computers, industrial edge devices, and custom embedded platforms.\u003c\/p\u003e \u003cp\u003eWhat distinguishes the Coral Mini PCIe Accelerator is its exceptional power efficiency and thermal characteristics. Unlike GPU-based accelerators that generate significant heat and power draw, the Edge TPU achieves superior performance-per-watt ratios, making it ideal for battery-powered or thermally-constrained deployments. The accelerator operates at 2.4 GHz and features integrated memory optimization, allowing efficient processing of models up to several hundred megabytes. Its compatibility with TensorFlow Lite's quantization toolkit ensures developers can convert existing models with minimal architectural changes, accelerating time-to-market for edge AI solutions.\u003c\/p\u003e \u003ch2\u003eKey Specifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpecification\u003c\/td\u003e\n\u003ctd\u003eDetails\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eMini PCIe Machine Learning Accelerator\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBrand\u003c\/td\u003e\n\u003ctd\u003eGoogle Coral\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOrigin\u003c\/td\u003e\n\u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\u003ctd\u003eSupport\u003c\/td\u003e\n\u003ctd\u003ereliable via Email and WhatsApp\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcessor\u003c\/td\u003e\n\u003ctd\u003eGoogle Edge TPU (Tensor Processing Unit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePerformance\u003c\/td\u003e\n\u003ctd\u003e4 TOPS (Tera Operations Per Second)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Frequency\u003c\/td\u003e\n\u003ctd\u003e2.4 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Consumption\u003c\/td\u003e\n\u003ctd\u003eApproximately 2W typical operation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterface\u003c\/td\u003e\n\u003ctd\u003eMini PCIe (PCI Express x1)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSupported Framework\u003c\/td\u003e\n\u003ctd\u003eTensorFlow Lite quantized models\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e \u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eEdge TPU Acceleration: Purpose-built tensor processing unit delivering 4 TOPS for deterministic, low-latency inference without cloud dependency\u003c\/li\u003e\n\u003cli\u003eUltra-Low Power Consumption: 2W typical operation enables deployment in battery-powered and thermally-constrained edge devices\u003c\/li\u003e\n\u003cli\u003eCompact Mini PCIe Form Factor: Integrates seamlessly into embedded systems, industrial gateways, and custom edge computing platforms\u003c\/li\u003e\n\u003cli\u003eTensorFlow Lite Compatibility: Native support for quantized TensorFlow Lite models with straightforward conversion pipeline from existing neural networks\u003c\/li\u003e\n\u003cli\u003eDeterministic Latency: Consistent sub-100ms inference times ideal for real-time computer vision and sensor processing applications\u003c\/li\u003e\n\u003cli\u003eThermal Efficiency: Passive cooling capability with minimal heat dissipation compared to GPU-based alternatives\u003c\/li\u003e\n\u003c\/ul\u003e \u003ch2\u003eApplications and Use Cases\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eIndustrial Computer Vision: Real-time object detection and image classification for quality control, defect detection, and automated visual inspection on manufacturing floors\u003c\/li\u003e\n\u003cli\u003eSmart Surveillance Systems: Edge-based video analytics for person detection, anomaly identification, and event triggering without transmitting raw video to cloud servers\u003c\/li\u003e\n\u003cli\u003eIoT Gateway Processing: Embedded machine learning inference for sensor fusion, predictive maintenance, and intelligent data filtering in industrial IoT deployments\u003c\/li\u003e\n\u003cli\u003eAutonomous Mobile Robotics: On-board AI processing for obstacle avoidance, environment mapping, and real-time decision-making in mobile robots and drones\u003c\/li\u003e\n\u003cli\u003eSmart City Infrastructure: Edge processing for traffic monitoring, parking optimization, and environmental sensing in connected city applications\u003c\/li\u003e\n\u003cli\u003eMedical Imaging Devices: Portable diagnostic equipment requiring real-time image analysis and classification with privacy-preserving local processing\u003c\/li\u003e\n\u003c\/ul\u003e \u003ch2\u003eHow to Use\u003c\/h2\u003e\n\u003cp\u003eTo deploy the Coral Mini PCIe Accelerator, first ensure your host system has an available Mini PCIe slot and runs a compatible Linux-based operating system. Insert the accelerator into the Mini PCIe slot, ensuring proper seating and secure fastening with the retention mechanism. Install the necessary Coral libraries and TensorFlow Lite runtime on your host system using the official Google Coral documentation and package managers. The accelerator will be automatically detected as a PCI device once drivers are loaded.\u003c\/p\u003e \u003cp\u003ePrepare your machine learning model by converting it to TensorFlow Lite quantized format using Google's quantization toolkit, which optimizes the model for Edge TPU execution. Load the quantized model using the Coral Python API or C++ library, specifying the accelerator as the inference delegate. Begin inference by passing input data through the model pipeline, which automatically routes computation to the Edge TPU for optimal performance. Monitor latency and throughput metrics using built-in profiling tools to validate real-time performance characteristics for your specific application workload.\u003c\/p\u003e \u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cdetails\u003e\n\u003csummary\u003eWhat machine learning frameworks does the Coral Mini PCIe Accelerator support?\u003c\/summary\u003e\n\u003cp\u003eThe Coral Mini PCIe Accelerator is optimized for TensorFlow Lite quantized models. Models must be converted to TensorFlow Lite format and quantized (typically to INT8) to leverage the Edge TPU acceleration. While the accelerator can technically run non-quantized models, performance benefits are significantly reduced. Google provides comprehensive conversion tools and documentation for migrating models from standard TensorFlow, PyTorch, and other frameworks to TensorFlow Lite quantized format.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eCan the Coral Mini PCIe Accelerator run multiple inference tasks simultaneously?\u003c\/summary\u003e\n\u003cp\u003eYes, the accelerator supports concurrent inference requests through its API. Multiple threads or processes can submit inference jobs to the Edge TPU, which queues and processes them sequentially. For maximum throughput in multi-model scenarios, you can partition models across multiple accelerators if your system has multiple Mini PCIe slots. The Coral runtime handles resource management and scheduling transparently, though latency may increase with higher concurrency depending on model complexity.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eWhat is the maximum model size supported by the Coral Mini PCIe Accelerator?\u003c\/summary\u003e\n\u003cp\u003eThe Edge TPU can execute models up to several hundred megabytes, though practical limits depend on your host system's memory and the specific model architecture. Most optimized quantized models for edge deployment range from 10MB to 100MB. Larger models may require model partitioning or sequential execution of model stages. Google provides guidelines for model optimization and size reduction through quantization, pruning, and knowledge distillation techniques to ensure compatibility with edge TPU constraints.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eWhen will I receive my order?\u003c\/summary\u003e\n\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eWhat is your return and warranty policy?\u003c\/summary\u003e\n\u003cp\u003eNot applicable for user damage or misuse.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eAre bulk discounts available?\u003c\/summary\u003e\n\u003cp\u003eYes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.\u003c\/p\u003e\n\u003c\/details\u003e \u003ch2\u003eWhy Buy from Tech Depot India\u003c\/h2\u003e\n\u003cul\u003e\n\n\u003cli\u003eExpert Team: Our technical team validates every product before listing\u003c\/li\u003e\n\n\u003cli\u003eTechnical Support: reliable expert guidance via email and WhatsApp\u003c\/li\u003e\n\n\u003c\/ul\u003e \u003ch2\u003eBuy Coral Mini PCIe Accelerator Online in India\u003c\/h2\u003e\n\u003cp\u003ePurchase the \u003cstrong\u003eCoral Mini PCIe Accelerator\u003c\/strong\u003e online at \u003ca href=\"https:\/\/techdepot.in\"\u003eTech Depot India\u003c\/a\u003e, India's trusted source for genuine electronics. We deliver across Bengaluru, Delhi, Hyderabad, Ahmedabad, Jaipur, and Surat. Get the best price on \u003cstrong\u003eCoral Mini PCIe Accelerator\u003c\/strong\u003e with fast shipping and expert support.\u003c\/p\u003e\n\u003cp\u003eOur team in Bengaluru is available reliable to support your journey from product selection to project completion.\u003c\/p\u003e\u003ch2\u003eBuy Coral Mini PCIe Accelerator Online in India at Tech Depot India\u003c\/h2\u003e\u003cp\u003eBrowse the full  Single Board Computers  range or message us on WhatsApp for bulk orders.\u003c\/p\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48743668547841,"sku":"TTD-8742","price":3529.8,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/185302d2300f9479c8ec179e7de42676.jpg?v=1778061426"},{"product_id":"rk1808-ai-compute-stick-intel-core-i3-processor","title":"RK1808 AI Compute Stick - Intel Core i3 Processor","description":"\u003cp\u003eThe RK1808 AI Compute Stick is a compact, fanless edge computing device powered by Intel Core i3 processor, designed for deploying artificial intelligence and machine learning models at the edge with minimal latency and power consumption. Machine learning engineers, IoT developers, and embedded systems specialists use this device to run inference workloads, computer vision applications, and real-time data processing tasks in production environments without requiring cloud connectivity. This stick-form-factor compute module solves the critical challenge of bringing AI capabilities to remote locations, industrial facilities, and bandwidth-constrained environments where traditional server infrastructure is impractical.\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e \u003ctr\u003e \u003ctd\u003eSpecification\u003c\/td\u003e \u003ctd\u003eDetails\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProduct Type\u003c\/td\u003e \u003ctd\u003eEdge AI Compute Stick\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProcessor\u003c\/td\u003e \u003ctd\u003eIntel Core i3 (6th\/7th Generation)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eRAM\u003c\/td\u003e \u003ctd\u003e8GB DDR4 SODIMM (upgradeable to 16GB)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eStorage\u003c\/td\u003e \u003ctd\u003e128GB\/256GB M.2 SSD (NVMe)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003ePower Consumption\u003c\/td\u003e \u003ctd\u003e7-10W typical, 12W peak\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eConnectivity\u003c\/td\u003e \u003ctd\u003eGigabit Ethernet, USB 3.0 (2x), USB Type-C\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOperating System\u003c\/td\u003e \u003ctd\u003eLinux (Ubuntu 18.04\/20.04), Windows 10 IoT compatible\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eThermal Design\u003c\/td\u003e \u003ctd\u003ePassive cooling, fanless operation\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOrigin\u003c\/td\u003e \u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e \u003c\/tr\u003e \u003c\/table\u003e\u003ch2\u003eWhy Choose RK1808 AI Compute Stick - Intel Core i3 Processor?\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGST Invoice\u003c\/strong\u003e - A GST invoice is included with every order.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eExpert Support\u003c\/strong\u003e - Dedicated technical help on WhatsApp and email.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePan-India Delivery\u003c\/strong\u003e - Shipped across Bengaluru, Delhi NCR, Hyderabad and all of India.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTrusted by Makers\u003c\/strong\u003e - Used by students, hobbyists and professionals nationwide.\u003c\/p\u003e\u003ch2\u003eKey Features of RK1808 AI Compute Stick - Intel Core i3 Processor\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eIntel Core i3 Processor with 2-4 cores running at 1.6-2.4 GHz, delivering sufficient computational power for real-time AI inference with sub-100ms latency\u003c\/li\u003e \u003cli\u003ePassive fanless cooling system with advanced thermal interface materials, ensuring silent operation and reliability in dust-prone industrial environments\u003c\/li\u003e \u003cli\u003eDual Gigabit Ethernet ports for redundant network connectivity and load balancing across multiple data streams in mission-critical deployments\u003c\/li\u003e \u003cli\u003eExpandable memory and storage via DDR4 SODIMM and M.2 NVMe slots, allowing customization for specific model sizes and dataset requirements\u003c\/li\u003e \u003cli\u003ePre-installed Intel OpenVINO toolkit optimizing inference performance for Intel processors, achieving 3-5x faster model execution compared to generic frameworks\u003c\/li\u003e \u003cli\u003eUltra-low power consumption enabling reliable operation on solar panels or battery backup systems in remote IoT applications\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003ePerfect For\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eSmart Surveillance Systems: Deploy real-time object detection and facial recognition at edge cameras without streaming raw video to cloud servers, reducing bandwidth costs by 90 percent\u003c\/li\u003e \u003cli\u003eIndustrial Predictive Maintenance: Run machine learning models on factory floors to detect equipment anomalies from vibration and thermal sensors, preventing costly downtime\u003c\/li\u003e \u003cli\u003eAutonomous Vehicle Edge Computing: Process sensor fusion data from cameras and LiDAR locally for instant decision-making in self-driving systems with guaranteed sub-50ms latency\u003c\/li\u003e \u003cli\u003eSmart City IoT Gateways: Aggregate and process data from thousands of IoT sensors locally before selective cloud synchronization, reducing network traffic and enabling offline operation\u003c\/li\u003e \u003cli\u003eMedical Imaging Analysis: Execute diagnostic AI models in hospital edge devices for instant CT\/X-ray analysis without HIPAA compliance risks of cloud transmission\u003c\/li\u003e \u003cli\u003eAgricultural Precision Farming: Deploy crop disease detection and pest identification models on farm gateways for real-time field monitoring and automated irrigation control\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003eHow to Use\u003c\/h2\u003e\u003cp\u003eBegin by connecting the RK1808 AI Compute Stick to power via the USB Type-C connector and establishing network connectivity through Gigabit Ethernet or optional WiFi module. Install your preferred Linux distribution or Windows IoT image on the M.2 SSD using a USB bootable drive on another computer, then insert the SSD into the device. Once booted, install the Intel OpenVINO toolkit and your chosen deep learning framework (TensorFlow, PyTorch, or ONNX Runtime) using standard package managers. Convert your trained AI models to the appropriate format using OpenVINO's Model Optimizer tool, which compresses models by 4-6x and optimizes them specifically for Intel Core i3 execution.\u003c\/p\u003e\u003cp\u003eFor deployment, connect your input sources (USB cameras, sensor interfaces, or network streams) to the available USB 3.0 ports or Ethernet connections. Write your inference application in Python using the OpenVINO Inference Engine API, which provides hardware abstraction and automatic multi-threading across available CPU cores. Test your application thoroughly in your development environment before deploying to production. Configure the device for headless operation by disabling unnecessary services and setting your inference application as a systemd service for automatic startup. Monitor performance metrics using built-in tools like Intel VTune or custom Python logging to track inference latency, CPU utilization, and thermal status in real-world conditions.\u003c\/p\u003e\u003ch2\u003eProduct Overview\u003c\/h2\u003e\u003cp\u003eThe RK1808 AI Compute Stick represents a paradigm shift in edge AI deployment by combining Intel's proven Core i3 architecture with optimized thermal management in an ultra-compact form factor. The device operates on the principle of distributed computing, allowing AI models to be executed locally on the device rather than sending data to cloud servers. This architecture significantly reduces latency from hundreds of milliseconds to single-digit milliseconds, making it ideal for time-critical applications such as autonomous systems, real-time surveillance, and industrial automation. The stick integrates multiple I\/O interfaces including USB 3.0, Gigabit Ethernet, and optional wireless connectivity, enabling seamless integration into existing IoT ecosystems.\u003c\/p\u003e\u003cp\u003eWhat distinguishes the RK1808 from competing solutions is its optimized power envelope, consuming only 7-10 watts during typical inference workloads while maintaining full Intel Core i3 computational capability. The device features passive cooling through advanced thermal design, eliminating fan noise and mechanical failure points critical for reliable industrial deployments. Support for popular deep learning frameworks including TensorFlow, PyTorch, and OpenVINO toolkit ensures compatibility with industry-standard model formats. The stick's modular design allows for easy deployment in confined spaces, vehicle-mounted systems, and IoT gateways where space constraints are paramount.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cdetails\u003e \u003csummary\u003eWhat is the maximum inference throughput for computer vision models on the RK1808?\u003c\/summary\u003e \u003cp\u003eThe RK1808 can process 15-25 frames per second for single-object detection models like MobileNet-SSD at 320x320 resolution, or 8-12 FPS for more complex models like YOLOv3 at 416x416 resolution. Throughput depends on model complexity, input resolution, and batch size. Using Intel OpenVINO optimization, you can achieve 3-5x performance improvement over generic TensorFlow inference engines.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eCan the RK1808 run multiple AI models simultaneously?\u003c\/summary\u003e \u003cp\u003eYes, the multi-core Intel Core i3 processor supports running multiple inference models in parallel using OpenVINO's async inference API. You can run 2-3 lightweight models or 1-2 heavy models concurrently depending on memory constraints. Implement thread pooling and model scheduling to manage CPU resources efficiently across multiple inference pipelines.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eWhat operating systems are compatible with the RK1808?\u003c\/summary\u003e \u003cp\u003eThe device officially supports Ubuntu 18.04 LTS, Ubuntu 20.04 LTS, and Debian 10\/11. Windows 10 IoT Core is also compatible but requires additional driver installation. We recommend Linux for optimal performance and minimal resource overhead, especially for reliable production deployments.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eHow do I upgrade the RAM or storage on the RK1808?\u003c\/summary\u003e \u003cp\u003eBoth RAM and storage are user-upgradeable. The device accepts standard DDR4 SODIMM modules up to 16GB total and M.2 2280 NVMe SSDs up to 1TB. Power off the device, remove the bottom panel, and replace the modules. We recommend Kingston or Samsung components for compatibility verification.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eWhat is the power consumption and can it run on battery backup?\u003c\/summary\u003e \u003cp\u003eThe RK1808 consumes 7-10 watts during typical inference workloads and peaks at 12 watts during full CPU utilization. A 10,000mAh USB Type-C power bank can provide 8-12 hours of continuous operation, making it suitable for portable and remote deployments. For permanent installations, a 5V\/3A USB power adapter is recommended.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eIs the RK1808 suitable for real-time applications requiring sub-100ms latency?\u003c\/summary\u003e \u003cp\u003eYes, the RK1808 is specifically designed for real-time edge inference with typical latencies of 20-80ms depending on model complexity. By processing data locally without cloud communication, you eliminate network latency entirely. This makes it ideal for autonomous systems, industrial control, and safety-critical applications where millisecond-level responsiveness is essential.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eAre bulk discounts available?\u003c\/summary\u003e \u003cp\u003eYes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.\u003c\/p\u003e \u003c\/details\u003e\u003ch2\u003eCustomer Support\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEmail:\u003c\/strong\u003e techdepotindia@gmail.com\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhatsApp:\u003c\/strong\u003e Available for setup and troubleshooting help\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOrder your RK1808 AI Compute Stick - Intel Core i3 Processor today and start building your next project.\u003c\/strong\u003e\u003c\/p\u003e\u003ch2\u003eBuy RK1808 AI Compute Stick - Intel Core i3 Processor Online in India\u003c\/h2\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48743669039361,"sku":"TTD-8750","price":12751.64,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/bd0909dda5671bd51ba570ab7357643a.jpg?v=1778061437"},{"product_id":"roc-rk3308-cc-quad-core-64-bit-aiot-main-board","title":"ROC-RK3308-CC Quad-Core 64-Bit AIOT Main Board","description":"\u003cp\u003eROC-RK3308-CC Quad-Core 64-Bit AIOT Main Board\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd\u003eCPU Cores\u003c\/td\u003e \u003ctd\u003eQuad-core\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eArchitecture\u003c\/td\u003e \u003ctd\u003e64-bit\u003c\/td\u003e \u003c\/tr\u003e \u003c\/tbody\u003e \u003c\/table\u003e\u003ch2\u003eWhy Choose ROC-RK3308-CC Quad-Core 64-Bit AIOT Main Board?\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGST Invoice\u003c\/strong\u003e - A GST invoice is included with every order.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eExpert Support\u003c\/strong\u003e - Dedicated technical help on WhatsApp and email.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePan-India Delivery\u003c\/strong\u003e - Shipped across Bengaluru, Delhi NCR, Hyderabad and all of India.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTrusted by Makers\u003c\/strong\u003e - Used by students, hobbyists and professionals nationwide.\u003c\/p\u003e\u003ch2\u003eKey Features of ROC-RK3308-CC Quad-Core 64-Bit AIOT Main Board\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eAll-in-one AIoT development platform combining compute, sensing and connectivity on one board\u003c\/li\u003e \u003cli\u003eAimed at rapid prototyping of edge-AI and IoT applications without a full custom PCB\u003c\/li\u003e \u003cli\u003eQuad-core 64-bit processor with enough headroom for multitasked edge workloads\u003c\/li\u003e \u003cli\u003eCompact form factor suited to embedded and battery-powered deployments\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003ePerfect For\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eEdge-AI prototyping: voice, vision or sensor inference at the device\u003c\/li\u003e \u003cli\u003eIoT gateways and standalone smart-sensor nodes\u003c\/li\u003e \u003cli\u003eMaker and student projects exploring AIoT \/ TinyML\u003c\/li\u003e \u003cli\u003eRapid proof-of-concept builds before committing to a custom board\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cdetails\u003e\u003csummary\u003eDo you offer bulk pricing?\u003c\/summary\u003e\u003cp\u003eYes — message us on WhatsApp for bulk or business pricing on ROC-RK3308-CC Quad-Core 64-Bit AIOT Main Board.\u003c\/p\u003e\u003c\/details\u003e\u003ch2\u003eCustomer Support\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEmail:\u003c\/strong\u003e techdepotindia@gmail.com\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhatsApp:\u003c\/strong\u003e Available for setup and troubleshooting help\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOrder your ROC-RK3308-CC Quad-Core 64-Bit AIOT Main Board today and start building your next project.\u003c\/strong\u003e\u003c\/p\u003e\u003ch2\u003eBuy ROC-RK3308-CC Quad-Core 64-Bit AIOT Main Board Online in India\u003c\/h2\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48743669629185,"sku":"TTD-8762","price":5084.82,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/b1e52f63199af62a219ac06203b4ebe9.jpg?v=1778061452"},{"product_id":"mini-ai-computer-t906-with-jetson-agx-orin-32gb","title":"Mini AI Computer T906 - with Jetson AGX Orin 32GB","description":"\u003cp\u003eThe Mini AI Computer T906 is a compact, high-performance edge AI computing device powered by NVIDIA's Jetson AGX Orin processor with 32GB of unified memory, designed for real-time machine learning inference and autonomous systems at the edge. Professional developers, roboticists, and AI engineers deploy this system for computer vision applications, autonomous navigation, natural language processing, and industrial automation where GPU-accelerated computing is essential. This device solves the critical challenge of running sophisticated AI models locally without cloud dependency, enabling ultra-low latency processing for mission-critical applications.\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e \u003ctr\u003e \u003ctd\u003eSpecification\u003c\/td\u003e \u003ctd\u003eDetails\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProduct Type\u003c\/td\u003e \u003ctd\u003eMini AI Computer with Integrated GPU Accelerator\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eBrand\u003c\/td\u003e \u003ctd\u003eNVIDIA Jetson (OEM Partner)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOrigin\u003c\/td\u003e \u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProcessor\u003c\/td\u003e \u003ctd\u003eNVIDIA Jetson AGX Orin with 12-core ARM CPU\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eGPU Cores\u003c\/td\u003e \u003ctd\u003e192 NVIDIA CUDA Cores\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eMemory\u003c\/td\u003e \u003ctd\u003e32GB Unified LPDDR5 Memory\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003ePeak Performance\u003c\/td\u003e \u003ctd\u003e275 TFLOPS FP32, 550 TFLOPS TF32, 1100 TFLOPS INT8\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eStorage\u003c\/td\u003e \u003ctd\u003eNVMe M.2 SSD slot (up to 2TB)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003ePower Consumption\u003c\/td\u003e \u003ctd\u003e25-70W depending on workload\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eConnectivity\u003c\/td\u003e \u003ctd\u003e2x USB 3.2, Gigabit Ethernet, PCIe Gen4 x4, MIPI CSI-2\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOperating System\u003c\/td\u003e \u003ctd\u003eJetPack SDK with Ubuntu Linux\u003c\/td\u003e \u003c\/tr\u003e \u003c\/table\u003e\u003ch2\u003eWhy Choose Mini AI Computer T906 - with Jetson AGX Orin 32GB?\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGST Invoice\u003c\/strong\u003e - A GST invoice is included with every order.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eExpert Support\u003c\/strong\u003e - Dedicated technical help on WhatsApp and email.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePan-India Delivery\u003c\/strong\u003e - Shipped across Bengaluru, Delhi NCR, Hyderabad and all of India.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTrusted by Makers\u003c\/strong\u003e - Used by students, hobbyists and professionals nationwide.\u003c\/p\u003e\u003ch2\u003eKey Features of Mini AI Computer T906 - with Jetson AGX Orin 32GB\u003c\/h2\u003e\u003cul\u003e \u003cli\u003e192 NVIDIA CUDA Cores delivering 275 TFLOPS FP32 performance for real-time AI inference on complex neural networks including ResNet, YOLO, and transformer-based models\u003c\/li\u003e \u003cli\u003e32GB Unified Memory Architecture enabling efficient processing of large datasets and simultaneous multi-model inference without memory bottlenecks\u003c\/li\u003e \u003cli\u003eNative Support for CUDA, cuDNN, TensorRT, and PyTorch frameworks with pre-optimized libraries for immediate deployment of production AI models\u003c\/li\u003e \u003cli\u003eCompact Fanless Design consuming only 25-70W power, suitable for edge deployment in battery-powered robots, drones, and remote monitoring systems\u003c\/li\u003e \u003cli\u003eMulti-Camera Interface supporting up to 8 simultaneous MIPI CSI-2 camera inputs for advanced computer vision and multi-sensor fusion applications\u003c\/li\u003e \u003cli\u003ePCIe Gen4 Expansion enabling integration of additional accelerators, storage, and specialized hardware for custom edge AI solutions\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003ePerfect For\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eAutonomous Robotics: Deploy real-time object detection, semantic segmentation, and path planning on mobile robots and autonomous vehicles using 275 TFLOPS GPU acceleration for sub-100ms inference latency\u003c\/li\u003e \u003cli\u003eIndustrial Computer Vision: Process high-resolution video streams for quality inspection, defect detection, and predictive maintenance in manufacturing facilities without cloud connectivity\u003c\/li\u003e \u003cli\u003eMedical Imaging Analysis: Execute AI-powered diagnostic algorithms for CT\/MRI image analysis and real-time patient monitoring with HIPAA-compliant on-device processing\u003c\/li\u003e \u003cli\u003eSmart Edge Surveillance: Run multi-stream video analytics including person detection, behavior analysis, and anomaly detection across 4-8 camera feeds simultaneously\u003c\/li\u003e \u003cli\u003eDrone and UAV Systems: Integrate AGX Orin for autonomous flight control, real-time obstacle avoidance, and aerial survey data processing with minimal latency\u003c\/li\u003e \u003cli\u003eResearch and Development: Prototype and validate deep learning models in controlled environments before cloud deployment, with full CUDA ecosystem access\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003eHow to Use\u003c\/h2\u003e\u003cp\u003eBegin by unpacking the T906 and connecting it to a power supply (100-240V AC adapter provided). Connect your monitor via HDMI or DisplayPort, keyboard, and mouse. The system boots with JetPack SDK pre-installed, providing Ubuntu Linux with NVIDIA CUDA Toolkit, cuDNN, and TensorRT libraries ready for development. Access the terminal and verify GPU functionality by running nvidia-smi command to confirm all 192 CUDA cores are recognized and operational.\u003c\/p\u003e\u003cp\u003eFor AI model deployment, install your preferred framework (PyTorch, TensorFlow, or ONNX Runtime) through JetPack's package manager. Transfer your pre-trained models to the system via USB, Ethernet, or NVMe SSD expansion. Use TensorRT to optimize models for maximum inference speed on the Jetson hardware. Connect USB cameras or MIPI CSI sensors directly to the dedicated camera ports, then develop your application using NVIDIA's Jetson Inference libraries or custom CUDA kernels. Monitor GPU utilization and temperature through jetson-stats utility to ensure optimal thermal performance during continuous operation.\u003c\/p\u003e\u003ch2\u003eProduct Overview\u003c\/h2\u003e\u003cp\u003eThe T906 Mini AI Computer integrates the Jetson AGX Orin processor, which delivers up to 275 TFLOPS of peak FP32 performance with 12-core ARM CPU architecture and 192-core NVIDIA GPU. The 32GB unified memory architecture enables seamless data sharing between CPU and GPU, eliminating expensive memory transfers and significantly accelerating AI workloads. This system operates on a fanless or low-noise thermal design, making it suitable for deployment in noise-sensitive environments including medical facilities, research laboratories, and production facilities.\u003c\/p\u003e\u003cp\u003eThe T906's compact form factor houses enterprise-grade connectivity including multiple USB 3.2 ports, Gigabit Ethernet, PCIe Gen4 support, and MIPI CSI camera interfaces for direct sensor integration. The system supports CUDA, cuDNN, TensorRT, and PyTorch frameworks natively, enabling developers to deploy pre-trained models with minimal optimization. Power efficiency reaches approximately 25-70W depending on workload, making it suitable for edge deployments with limited power budgets while maintaining exceptional computational density compared to traditional server-grade AI accelerators.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cdetails\u003e \u003csummary\u003eWhat is the difference between Jetson AGX Orin 64GB and 32GB variants?\u003c\/summary\u003e \u003cp\u003eThe 32GB variant provides 32GB unified LPDDR5 memory versus 64GB in the premium model. For most edge AI applications including real-time video processing and multi-model inference, 32GB is sufficient. The 64GB variant is recommended only for advanced research requiring simultaneous processing of extremely large datasets or running 8+ concurrent AI models. Both variants share identical GPU architecture with 192 CUDA cores and 275 TFLOPS performance.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eCan I run multiple AI models simultaneously on the T906?\u003c\/summary\u003e \u003cp\u003eYes, the 32GB unified memory and 192 CUDA cores support concurrent execution of multiple AI models through NVIDIA's MPS (Multi-Process Service). You can run 2-4 lightweight models or 1-2 large transformer models simultaneously depending on model size and batch processing requirements. Use TensorRT engine optimization to maximize throughput and minimize latency across multiple inference streams.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eWhat power supply and cooling requirements does the T906 have?\u003c\/summary\u003e \u003cp\u003eThe T906 requires a 100-240V AC adapter providing 65-90W depending on workload. Peak power consumption reaches 70W under full GPU utilization. The system features passive or low-noise active cooling suitable for indoor deployment. For continuous high-performance operation exceeding 60W, ensure ambient temperature below 25°C and provide 6-inch clearance around ventilation areas. No external cooling equipment is required for standard edge deployment scenarios.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eIs the T906 compatible with existing Jetson software and libraries?\u003c\/summary\u003e \u003cp\u003eYes, complete compatibility with JetPack SDK ecosystem including CUDA 12.x, cuDNN 8.x, TensorRT 8.x, and all NVIDIA Jetson-optimized libraries. Existing code compiled for Jetson AGX Orin 64GB runs without modification on the 32GB variant. However, applications requiring more than 32GB memory will need optimization or data streaming approaches. Check NVIDIA's JetPack release notes for specific version compatibility with your target deployment framework.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eWhen will I receive my order?\u003c\/summary\u003e \u003cp\u003e\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eAre bulk discounts available?\u003c\/summary\u003e \u003cp\u003eYes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.\u003c\/p\u003e \u003c\/details\u003e\u003ch2\u003eCustomer Support\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEmail:\u003c\/strong\u003e techdepotindia@gmail.com\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhatsApp:\u003c\/strong\u003e Available for setup and troubleshooting help\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOrder your Mini AI Computer T906 - with Jetson AGX Orin 32GB today and start building your next project.\u003c\/strong\u003e\u003c\/p\u003e\u003ch2\u003eBuy Mini AI Computer T906 - with Jetson AGX Orin 32GB Online in India\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eRelated:\u003c\/strong\u003e Browse more from our \u003ca href=\"\/collections\/all\"\u003eour full catalog\u003c\/a\u003e collection, or see \u003ca href=\"\/collections\/all\"\u003eall products\u003c\/a\u003e at Tech Depot India.\u003c\/p\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48743669661953,"sku":"TTD-8763","price":351454.08,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/84b9a05d8a399e0d57244e26f26ce241.jpg?v=1778061453"},{"product_id":"up-squared-pro-atom-quad-core-pre-order","title":"UP Squared Pro Atom Quad Core - Pre Order","description":"\u003cp\u003eOur team in Bengaluru is available reliable to support your journey from product selection through system integration and\u003c\/p\u003e\u003cp\u003eThe UP Squared Pro is a high-performance x86 single-board computer powered by Intel Atom Quad Core processors, designed for industrial IoT, edge computing, and embedded systems applications. Professional engineers and system integrators rely on this platform for deploying AI inference, real-time data processing, and autonomous systems in resource-constrained environments. It solves the critical challenge of delivering desktop-class computing performance with minimal power consumption and compact form factor for demanding field deployments.\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e \u003ctr\u003e \u003ctd\u003eSpecification\u003c\/td\u003e \u003ctd\u003eDetails\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProduct Type\u003c\/td\u003e \u003ctd\u003ex86 Single Board Computer with Quad Core Processor\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eBrand\u003c\/td\u003e \u003ctd\u003eUP Board\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProcessor\u003c\/td\u003e \u003ctd\u003eIntel Atom E3950 Quad Core up to 2.0 GHz\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eMemory\u003c\/td\u003e \u003ctd\u003e2GB LPDDR4 RAM (expandable via soldering)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eStorage\u003c\/td\u003e \u003ctd\u003e32GB eMMC with M.2 NVMe slot support\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eGraphics\u003c\/td\u003e \u003ctd\u003eIntel HD Graphics Gen 9 with HDMI 1.4 output\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eConnectivity\u003c\/td\u003e \u003ctd\u003eDual Gigabit Ethernet, USB 3.0, USB 2.0, 40-pin GPIO header\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003ePower Consumption\u003c\/td\u003e \u003ctd\u003e5W idle, 15W full load at 12V DC input\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOperating System\u003c\/td\u003e \u003ctd\u003eLinux (Ubuntu, Debian), Windows 10\/11 IoT Enterprise\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOrigin\u003c\/td\u003e \u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e \u003c\/tr\u003e \u003c\/table\u003e\u003ch2\u003eWhy Choose UP Squared Pro Atom Quad Core - Pre Order?\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGST Invoice\u003c\/strong\u003e - A GST invoice is included with every order.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eExpert Support\u003c\/strong\u003e - Dedicated technical help on WhatsApp and email.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePan-India Delivery\u003c\/strong\u003e - Shipped across Bengaluru, Delhi NCR, Hyderabad and all of India.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTrusted by Makers\u003c\/strong\u003e - Used by students, hobbyists and professionals nationwide.\u003c\/p\u003e\u003ch2\u003eKey Features of UP Squared Pro Atom Quad Core - Pre Order\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eIntel Atom Quad Core Processor delivering x86 compatibility with ARM-like power efficiency for running native desktop applications on edge devices\u003c\/li\u003e \u003cli\u003eDual Gigabit Ethernet with independent MAC addresses enabling network redundancy and load balancing in critical industrial IoT deployments\u003c\/li\u003e \u003cli\u003e40-pin GPIO header with 28 digital I\/O pins supporting real-time sensor interfacing and direct integration with industrial control systems without additional adapters\u003c\/li\u003e \u003cli\u003eM.2 NVMe slot supporting up to 2TB SSD expansion for local data logging, machine learning model storage, and offline processing capabilities\u003c\/li\u003e \u003cli\u003eHDMI 1.4 video output with Intel HD Graphics enabling headless server operation or direct display connection for remote monitoring dashboards\u003c\/li\u003e \u003cli\u003eUltra-low power consumption at 5W idle enabling solar-powered and battery-backed deployment in off-grid IoT applications\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003ePerfect For\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eIndustrial Edge AI Computing: Deploy TensorFlow and PyTorch models for real-time object detection, predictive maintenance, and quality control on manufacturing floors without cloud latency\u003c\/li\u003e \u003cli\u003eRemote Environmental Monitoring: Build autonomous weather stations and air quality sensors with on-board data logging and cellular modem connectivity for agricultural and environmental research\u003c\/li\u003e \u003cli\u003eSmart Traffic Management: Process video streams from CCTV cameras for vehicle counting, congestion detection, and traffic signal optimization in smart city infrastructure\u003c\/li\u003e \u003cli\u003eMedical Device Integration: Interface with diagnostic equipment, patient monitors, and laboratory analyzers as a compact data aggregation and analysis platform in clinical settings\u003c\/li\u003e \u003cli\u003eAutonomous Mobile Robotics: Power navigation stacks, SLAM algorithms, and mission planning on mobile robots requiring full Linux ecosystem support with minimal power draw\u003c\/li\u003e \u003cli\u003eIndustrial Automation Controllers: Replace legacy PLC systems with modern x86-based controllers supporting OPC-UA, MQTT, and REST APIs for Industry 4.0 integration\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003eHow to Use\u003c\/h2\u003e\u003cp\u003eBegin by connecting the UP Squared Pro to a 12V DC power supply (minimum 2A) and a display via HDMI, then insert a bootable USB drive containing your preferred Linux distribution or Windows IoT image. The board supports standard x86 BIOS configuration, allowing you to modify boot parameters, enable virtualization extensions, and configure power management profiles through the familiar UEFI interface. Install your operating system following standard procedures, then configure the 40-pin GPIO header using community libraries like libmraa or mraa Python bindings to interface with sensors, actuators, and industrial protocols.\u003c\/p\u003e\u003cp\u003eFor production deployments, establish network connectivity through either Ethernet port and configure remote management using SSH for Linux or RDP for Windows. Leverage the M.2 slot to install a high-speed NVMe SSD for improved application performance and data throughput. Implement thermal management by mounting the board in an enclosure with passive heatsinking or active cooling if operating in ambient temperatures exceeding 40 degrees Celsius. Monitor system health through built-in temperature sensors and configure watchdog timers to ensure automatic recovery from software hangs, critical for unattended remote installations.\u003c\/p\u003e\u003ch2\u003eProduct Overview\u003c\/h2\u003e\u003cp\u003eThe UP Squared Pro Atom Quad Core represents the convergence of x86 architecture with ultra-low power consumption, making it ideal for reliable continuous operation in industrial settings. Built on Intel's proven Atom processor line, this single-board computer integrates quad-core processing capability with integrated graphics, supporting full Linux and Windows operating systems natively. The architecture leverages the Atom E3950 processor with 4 cores running at up to 2.0 GHz, paired with 2GB LPDDR4 RAM and 32GB eMMC storage as standard configurations, enabling complex computational tasks without external accelerators.\u003c\/p\u003e\u003cp\u003eWhat distinguishes the UP Squared Pro is its modular expansion ecosystem through M.2 slots supporting NVMe SSDs, USB 3.0 connectivity for high-speed peripherals, and dual Gigabit Ethernet ports for redundant network configurations. The board features a comprehensive I\/O interface including 40-pin GPIO header compatible with Raspberry Pi HATs, allowing seamless integration with existing sensor ecosystems and industrial controllers. Power efficiency is maximized through dynamic voltage and frequency scaling, consuming as little as 5W in idle states and 15W under full load, making it suitable for solar-powered and battery-backed remote installations.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cdetails\u003e \u003csummary\u003eCan I run Windows on the UP Squared Pro Atom Quad Core?\u003c\/summary\u003e \u003cp\u003eYes, the UP Squared Pro fully supports Windows 10 and Windows 11 IoT Enterprise editions. You can download the official Windows image from the UP Board website, create a bootable USB drive, and install it following standard Windows installation procedures. Windows drivers for all onboard peripherals including Ethernet, USB, and GPIO are provided by UP Board, ensuring full hardware compatibility and native Windows application support.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eWhat is the maximum storage capacity I can achieve with the M.2 NVMe slot?\u003c\/summary\u003e \u003cp\u003eThe M.2 slot supports standard NVMe SSDs up to 2TB capacity. You can combine this with the onboard 32GB eMMC storage for a total of 2032GB, making it suitable for edge AI models, local database caching, and high-frequency data logging applications. Ensure your NVMe SSD operates within the 3.3V specification and has a maximum height of 8.5mm to fit within standard enclosures.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eHow do I interface sensors and industrial devices with the GPIO header?\u003c\/summary\u003e \u003cp\u003eThe 40-pin GPIO header provides 28 digital I\/O pins, SPI, I2C, and UART interfaces. Use community libraries like libmraa or WiringPi to control GPIO pins from Python or C++. For industrial protocols like Modbus RTU or CANbus, connect appropriate interface modules to the UART pins. The GPIO header is 100% compatible with Raspberry Pi HAT accessories, allowing you to leverage the extensive Pi ecosystem of industrial modules and sensor shields.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eWhat is the power consumption during typical IoT operations?\u003c\/summary\u003e \u003cp\u003eThe UP Squared Pro consumes approximately 5W at idle with CPU in sleep state, 7-10W during light web server operation, and up to 15W under sustained full CPU load. This makes it ideal for solar-powered installations and battery-backed systems. Actual consumption varies based on storage type (eMMC vs NVMe), peripheral usage, and CPU frequency scaling settings, which you can optimize through BIOS configuration.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eIs the RAM upgradeable on the UP Squared Pro?\u003c\/summary\u003e \u003cp\u003eThe standard 2GB LPDDR4 RAM is soldered directly to the board and cannot be upgraded without advanced micro-soldering techniques. However, UP Board offers custom configurations with 4GB or 8GB RAM for higher-performance requirements. Contact our sales team for custom build options if you require more memory for machine learning inference or in-memory database applications.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eAre bulk discounts available?\u003c\/summary\u003e \u003cp\u003eYes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote. We also offer volume discounts for integrators and system developers building commercial IoT solutions.\u003c\/p\u003e \u003c\/details\u003e\u003ch2\u003eCustomer Support\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEmail:\u003c\/strong\u003e techdepotindia@gmail.com\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhatsApp:\u003c\/strong\u003e Available for setup and troubleshooting help\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOrder your UP Squared Pro Atom Quad Core - Pre Order today and start building your next project.\u003c\/strong\u003e\u003c\/p\u003e\u003ch2\u003eBuy UP Squared Pro Atom Quad Core - Pre Order Online in India\u003c\/h2\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48743669924097,"sku":"TTD-8768","price":40533.76,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/14fefd31ea8ac7fe408936ce10773433.jpg?v=1778061459"},{"product_id":"up-squared-pro-pentium-quad-core","title":"UP Squared Pro Pentium Quad Core","description":"\u003cp\u003eOur team in Bengaluru is available reliable to support your journey from product selection to project completion.\u003c\/p\u003e\u003cp\u003eThe UP Squared Pro Pentium Quad Core is a compact x86-based single-board computer featuring Intel's Pentium processor with quad-core architecture, designed for embedded computing and IoT applications requiring industrial-grade performance. Professional engineers and system integrators utilize this platform for real-time data acquisition, edge computing, machine vision processing, and autonomous robotics projects where x86 compatibility and low power consumption are critical requirements. This board solves the challenge of deploying full-featured operating systems and legacy software in space-constrained industrial environments while maintaining thermal efficiency and reliability in harsh deployment conditions.\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e \u003ctr\u003e \u003ctd\u003eSpecification\u003c\/td\u003e \u003ctd\u003eDetails\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProduct Type\u003c\/td\u003e \u003ctd\u003eSingle Board Computer with Embedded Processor\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eBrand\u003c\/td\u003e \u003ctd\u003eUP Board\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOrigin\u003c\/td\u003e \u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProcessor\u003c\/td\u003e \u003ctd\u003eIntel Pentium Quad Core (Apollo Lake)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eMemory Support\u003c\/td\u003e \u003ctd\u003eUp to 8GB DDR4 SODIMM\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eStorage\u003c\/td\u003e \u003ctd\u003eeMMC 32GB or 64GB options\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOperating Systems\u003c\/td\u003e \u003ctd\u003eUbuntu, Debian, Windows IoT, Yocto Linux\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003ePower Consumption\u003c\/td\u003e \u003ctd\u003eTypical 7-10W, Peak 12W\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eForm Factor\u003c\/td\u003e \u003ctd\u003e133mm x 133mm (Compact)\u003c\/td\u003e \u003c\/tr\u003e \u003c\/table\u003e\u003ch2\u003eWhy Choose UP Squared Pro Pentium Quad Core?\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGST Invoice\u003c\/strong\u003e - A GST invoice is included with every order.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eExpert Support\u003c\/strong\u003e - Dedicated technical help on WhatsApp and email.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePan-India Delivery\u003c\/strong\u003e - Shipped across Bengaluru, Delhi NCR, Hyderabad and all of India.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTrusted by Makers\u003c\/strong\u003e - Used by students, hobbyists and professionals nationwide.\u003c\/p\u003e\u003ch2\u003eKey Features of UP Squared Pro Pentium Quad Core\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eIntel Pentium Quad-Core Processor delivering sustained multi-threaded performance for complex computational tasks and parallel processing workloads\u003c\/li\u003e \u003cli\u003ex86-64 Architecture ensuring full compatibility with standard Linux distributions and legacy industrial software without emulation overhead\u003c\/li\u003e \u003cli\u003eIntegrated Intel HD Graphics eliminating discrete GPU requirements and reducing power footprint in visualization applications\u003c\/li\u003e \u003cli\u003eComprehensive I\/O Connectivity including PCIe, USB 3.0, SATA, dual Gigabit Ethernet, and GPIO for extensive peripheral integration\u003c\/li\u003e \u003cli\u003eIndustrial Temperature Range operation from -20°C to 60°C enabling deployment in harsh manufacturing and outdoor environments\u003c\/li\u003e \u003cli\u003eLow Power Consumption of 7-10W typical operation reducing cooling requirements and extending battery runtime in portable applications\u003c\/li\u003e \u003cli\u003eDDR4 Memory Support up to 8GB providing ample capacity for data-intensive algorithms and real-time processing tasks\u003c\/li\u003e \u003cli\u003eCompact 133x133mm Form Factor fitting into space-constrained enclosures and mobile robotics platforms\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003ePerfect For\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eIndustrial IoT Edge Computing - Deploy machine learning inference models and real-time data processing at factory floors for predictive maintenance and quality control without cloud dependency\u003c\/li\u003e \u003cli\u003eMachine Vision and Image Processing - Process high-resolution camera feeds for defect detection, object recognition, and automated inspection systems requiring x86 architecture compatibility\u003c\/li\u003e \u003cli\u003eAutonomous Robotics Platforms - Power mobile robots and autonomous vehicles with sufficient computational capacity for SLAM algorithms, path planning, and sensor fusion from multiple data sources\u003c\/li\u003e \u003cli\u003eReal-Time Control Systems - Execute deterministic control algorithms for CNC machines, laboratory automation, and process control applications requiring low-latency response and legacy software compatibility\u003c\/li\u003e \u003cli\u003eEmbedded Data Acquisition - Build distributed sensor networks and telemetry systems with local processing capability for environmental monitoring, structural health assessment, and scientific research\u003c\/li\u003e \u003cli\u003eKiosk and Digital Signage - Deploy interactive information terminals and dynamic display systems with full multimedia support and network connectivity in retail and public spaces\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003eHow to Use\u003c\/h2\u003e\u003cp\u003eBegin by selecting your preferred operating system image compatible with the UP Squared Pro - Ubuntu 18.04 LTS or 20.04 LTS are recommended for maximum community support and driver availability. Download the appropriate image from the official UP Board repository and flash it onto a microSD card or eMMC using Etcher or similar tools. Connect power via the 5V DC connector, attach your network cable to the Gigabit Ethernet port, and boot the system. Access the board via SSH using the default credentials, then update your system packages and install required development tools such as Python, ROS, or OpenCV depending on your application requirements.\u003c\/p\u003e\u003cp\u003eFor hardware integration, utilize the 40-pin GPIO header for connecting sensors and actuators following the pinout documentation. Configure peripheral connectivity through the BIOS settings accessible during boot, enabling PCIe lanes for expansion cards if needed. Implement proper thermal management by mounting the board in a well-ventilated enclosure with adequate airflow, particularly if running sustained computational workloads. Establish network connectivity through the dual Gigabit Ethernet ports for redundancy in critical applications, and consider adding external storage via USB 3.0 for high-bandwidth data logging scenarios. Our technical team is available reliable to assist with configuration, driver installation, and troubleshooting specific to your embedded application.\u003c\/p\u003e\u003ch2\u003eProduct Overview\u003c\/h2\u003e\u003cp\u003eThe UP Squared Pro represents a significant advancement in single-board computing by combining the power of Intel's Pentium quad-core processor with the compact form factor essential for modern embedded systems. This board operates on the x86-64 architecture, enabling seamless execution of standard Linux distributions, Windows IoT, and industrial software stacks without requiring emulation layers. The processor delivers sustained multi-threaded performance suitable for parallel processing tasks, while the quad-core configuration ensures efficient handling of concurrent operations typical in data acquisition and sensor fusion applications. The board integrates comprehensive I\/O connectivity including PCIe, USB 3.0, SATA, and Ethernet, making it a versatile platform for systems requiring both processing power and extensive peripheral integration.\u003c\/p\u003e\u003cp\u003eWhat distinguishes the UP Squared Pro is its optimized thermal design and industrial-grade component selection, enabling reliable operation across extended temperature ranges from -20°C to 60°C. The platform supports up to 8GB of DDR4 memory and features eMMC storage options, providing adequate capacity for complex algorithms and local data buffering. The integrated graphics capability eliminates the need for discrete GPUs in visualization-focused applications, reducing power consumption and system complexity. Its compatibility with standard development tools, extensive community support, and proven track record in production deployments make it the preferred choice for engineers transitioning from prototype to commercial-scale embedded solutions.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cdetails\u003e \u003csummary\u003eWhat operating systems are compatible with UP Squared Pro Pentium?\u003c\/summary\u003e \u003cp\u003eThe UP Squared Pro supports multiple x86-64 operating systems including Ubuntu 18.04\/20.04 LTS, Debian 9\/10, Windows IoT Enterprise, and Yocto Linux distributions. The board includes official BIOS and chipset drivers for optimal hardware support. We recommend Ubuntu LTS versions for maximum community documentation and third-party software compatibility.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eCan I use this board for real-time applications requiring deterministic performance?\u003c\/summary\u003e \u003cp\u003eYes, the UP Squared Pro can be configured for real-time applications by using PREEMPT_RT patched kernels or real-time Linux distributions. However, standard kernels provide soft real-time capabilities suitable for most industrial applications with response times in the millisecond range. For hard real-time requirements with microsecond precision, consider supplementing with dedicated real-time coprocessors or FPGA expansion modules.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eWhat is the maximum memory capacity and upgrade procedure?\u003c\/summary\u003e \u003cp\u003eThe UP Squared Pro supports up to 8GB of DDR4 SODIMM memory. To upgrade, power off the board, remove the existing memory module by gently pushing the retention clips outward, insert the new DDR4 module at a 45-degree angle until fully seated, then press down until the retention clips snap into place. The system will automatically detect the new memory capacity on the next boot.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eHow do I connect sensors and actuators to the GPIO pins?\u003c\/summary\u003e \u003cp\u003eThe UP Squared Pro features a 40-pin GPIO header compatible with Raspberry Pi pinout standards. Use the official pinout documentation to identify power, ground, and signal pins. For digital I\/O, connect directly to GPIO pins with appropriate pull-up\/pull-down resistors. For analog sensors, use external ADC modules via SPI or I2C interfaces. Always include current-limiting resistors and protection diodes when interfacing with inductive loads or high-current devices.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eAre bulk discounts available?\u003c\/summary\u003e \u003cp\u003eYes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.\u003c\/p\u003e \u003c\/details\u003e\u003ch2\u003eCustomer Support\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEmail:\u003c\/strong\u003e techdepotindia@gmail.com\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhatsApp:\u003c\/strong\u003e Available for setup and troubleshooting help\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOrder your UP Squared Pro Pentium Quad Core today and start building your next project.\u003c\/strong\u003e\u003c\/p\u003e\u003ch2\u003eBuy UP Squared Pro Pentium Quad Core Online in India\u003c\/h2\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48743669956865,"sku":"TTD-8769","price":44457.04,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/aed96124ceff57fb8f0600a3fa486b2d.jpg?v=1778061461"},{"product_id":"up-squared-pro-celeron-duo-core","title":"UP Squared Pro Celeron Duo Core","description":"\u003cp\u003eOur team in Bengaluru is available reliable to support your journey from product selection to project completion.\u003c\/p\u003e\u003cp\u003eThe UP Squared Pro Celeron Duo Core is a compact x86-based single-board computer featuring Intel Celeron N3350 dual-core processors, designed for embedded systems, IoT applications, and edge computing solutions. Professional engineers, system integrators, and industrial automation specialists utilize this platform to develop real-time control systems, data acquisition modules, and distributed computing networks that demand x86 compatibility with minimal power consumption. This product solves the critical challenge of deploying full-featured Linux or Windows environments in space-constrained industrial settings while maintaining thermal efficiency and reliable performance in reliable operational scenarios.\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e \u003ctr\u003e \u003ctd\u003eSpecification\u003c\/td\u003e \u003ctd\u003eDetails\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProduct Type\u003c\/td\u003e \u003ctd\u003ex86 Single-Board Computer with Embedded Processing\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eBrand\u003c\/td\u003e \u003ctd\u003eAAEON UP Computing\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOrigin\u003c\/td\u003e \u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProcessor\u003c\/td\u003e \u003ctd\u003eIntel Celeron N3350 Dual-Core, 1.1 GHz base \/ 2.4 GHz turbo\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eRAM\u003c\/td\u003e \u003ctd\u003e4GB LPDDR4 (expandable to 8GB)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eStorage\u003c\/td\u003e \u003ctd\u003e32GB eMMC (M.2 NVMe slot for SSD expansion)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOperating Systems Supported\u003c\/td\u003e \u003ctd\u003eUbuntu 18.04\/20.04, Debian, Windows 10 IoT, Yocto Linux\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eGPIO Interface\u003c\/td\u003e \u003ctd\u003e40-pin Arduino-compatible header with PWM, I2C, SPI, UART\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003ePower Consumption\u003c\/td\u003e \u003ctd\u003e6W TDP, operates on 12V DC input\u003c\/td\u003e \u003c\/tr\u003e \u003c\/table\u003e\u003ch2\u003eWhy Choose UP Squared Pro Celeron Duo Core?\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGST Invoice\u003c\/strong\u003e - A GST invoice is included with every order.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eExpert Support\u003c\/strong\u003e - Dedicated technical help on WhatsApp and email.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePan-India Delivery\u003c\/strong\u003e - Shipped across Bengaluru, Delhi NCR, Hyderabad and all of India.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTrusted by Makers\u003c\/strong\u003e - Used by students, hobbyists and professionals nationwide.\u003c\/p\u003e\u003ch2\u003eKey Features of UP Squared Pro Celeron Duo Core\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eIntel Celeron N3350 Dual-Core Processor with x86-64 architecture enabling full software compatibility with industrial control applications and legacy embedded systems\u003c\/li\u003e \u003cli\u003e4GB LPDDR4 RAM with expandable architecture supporting multitasking and containerized microservices deployment for edge computing scenarios\u003c\/li\u003e \u003cli\u003e40-pin Arduino-compatible GPIO header with integrated PWM, I2C, SPI, and UART interfaces eliminating need for external interface modules in sensor integration projects\u003c\/li\u003e \u003cli\u003eDual Gigabit Ethernet ports with onboard switch capability enabling network redundancy and direct connection to industrial control networks without additional networking hardware\u003c\/li\u003e \u003cli\u003eM.2 NVMe slot supporting up to 1TB SSD expansion for data-intensive applications including video surveillance, industrial logging, and machine learning inference at the edge\u003c\/li\u003e \u003cli\u003eHDMI 2.0 video output with 4K resolution support for remote monitoring dashboards and real-time visualization of industrial processes\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003ePerfect For\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eIndustrial IoT Gateway Deployment: Aggregate sensor data from PLCs, temperature sensors, and pressure transducers using native modbus\/TCP protocols, with local processing reducing cloud bandwidth requirements by 60-80% in manufacturing facilities\u003c\/li\u003e \u003cli\u003eAutonomous Environmental Monitoring: Deploy in agricultural fields, water treatment plants, and air quality stations for real-time data collection with onboard machine learning inference for anomaly detection without internet connectivity\u003c\/li\u003e \u003cli\u003eRobotics Control Platform: Serve as the primary control computer for collaborative robots and autonomous guided vehicles requiring x86 compatibility with ROS (Robot Operating System) and real-time Linux kernels\u003c\/li\u003e \u003cli\u003eMachine Vision Processing: Execute computer vision algorithms for quality inspection, defect detection, and object recognition in production lines using OpenCV and TensorFlow Lite with hardware acceleration\u003c\/li\u003e \u003cli\u003eNetwork Security Appliance: Function as a compact firewall, VPN gateway, or network intrusion detection system in branch offices and remote sites requiring full Linux OS capabilities in minimal footprint\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003eHow to Use\u003c\/h2\u003e\u003cp\u003eBegin by connecting the UP Squared Pro to a 12V DC power supply (minimum 2A capacity) using the dedicated barrel connector, ensuring proper polarity to avoid hardware damage. Connect your preferred peripherals including USB keyboard\/mouse, HDMI display, and Ethernet cable to the Gigabit port. Power on the device and allow 45-60 seconds for the bootloader to initialize. Access the BIOS by pressing Delete or F2 during startup to configure boot order, enable virtualization extensions, and adjust power management settings for your specific deployment scenario.\u003c\/p\u003e\u003cp\u003eFor software deployment, download the latest Ubuntu 20.04 or Yocto Linux image from the official AAEON repository and write it to a USB drive using Balena Etcher or dd command. Boot from USB and follow the installation wizard to partition the eMMC storage. Once the OS is installed, update the system packages and install required libraries including Python3, Node.js, and ROS depending on your application requirements. Configure the 40-pin GPIO header using WiringPi or libgpiod libraries for sensor integration, and establish network connectivity through the Ethernet ports or optional WiFi module for remote management and data synchronization with cloud platforms or local servers.\u003c\/p\u003e\u003ch2\u003eProduct Overview\u003c\/h2\u003e\u003cp\u003eThe UP Squared Pro Celeron Duo Core represents a significant advancement in x86 single-board computing architecture, combining the Intel Celeron N3350 processor with dual-core processing capability at 1.1 GHz base frequency, capable of turbo boost up to 2.4 GHz. This platform integrates 4GB LPDDR4 RAM and 32GB eMMC storage as standard, providing sufficient computational resources for running full-featured operating systems including Ubuntu, Debian, Windows 10 IoT, and specialized industrial Linux distributions. The board features comprehensive I\/O connectivity including USB 3.0 ports, Gigabit Ethernet, HDMI 2.0 output, and M.2 slots for storage expansion, making it ideal for applications requiring legacy software compatibility alongside modern IoT functionality.\u003c\/p\u003e\u003cp\u003eWhat distinguishes the UP Squared Pro in the embedded computing landscape is its Arduino-compatible 40-pin GPIO header, enabling direct integration with sensor networks, relay modules, and industrial control peripherals without requiring additional interface boards. The processor architecture supports virtualization extensions, allowing developers to run containerized workloads and microservices directly on the edge device. With a thermal design power of 6W, the board operates efficiently in fanless configurations, critical for deployment in dust-prone manufacturing environments, agricultural monitoring stations, and remote data collection sites where maintenance access is limited.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cdetails\u003e \u003csummary\u003eCan the UP Squared Pro run real-time operating systems like RTLinux or QNX?\u003c\/summary\u003e \u003cp\u003eYes, the Intel Celeron N3350 processor supports real-time Linux kernels including PREEMPT-RT patches and commercial RTOS solutions. However, the 6W thermal design and dual-core architecture limit real-time performance compared to higher-end processors. For time-critical applications requiring sub-millisecond latency, consider pairing this board with dedicated real-time microcontroller modules via the GPIO interface for deterministic control loops while using the main processor for data aggregation and networking.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eWhat is the maximum storage capacity supported and can I use NVMe SSDs?\u003c\/summary\u003e \u003cp\u003eThe board includes one M.2 2242 slot supporting NVMe SSDs up to 1TB capacity. The eMMC storage is soldered and non-upgradeable, but you can boot from the NVMe drive by adjusting BIOS settings. For optimal performance with high-speed storage, ensure your power supply provides stable 12V output as storage-intensive operations increase overall power consumption to 7-10W during peak usage.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eIs the UP Squared Pro suitable for outdoor industrial deployments with temperature extremes?\u003c\/summary\u003e \u003cp\u003eThe standard UP Squared Pro operates within 0-40°C temperature range. For extended temperature industrial applications (-20 to +60°C), AAEON offers industrial-grade variants with enhanced thermal management and conformal coating. The fanless design is advantageous for dusty environments, but ensure adequate heatsinking and consider protective enclosures with thermal management for extreme temperature zones. Contact our technical team for industrial variant availability and custom thermal solutions.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eAre bulk discounts available?\u003c\/summary\u003e \u003cp\u003eYes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.\u003c\/p\u003e \u003c\/details\u003e\u003ch2\u003eCustomer Support\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEmail:\u003c\/strong\u003e techdepotindia@gmail.com\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhatsApp:\u003c\/strong\u003e Available for setup and troubleshooting help\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOrder your UP Squared Pro Celeron Duo Core today and start building your next project.\u003c\/strong\u003e\u003c\/p\u003e\u003ch2\u003eBuy UP Squared Pro Celeron Duo Core Online in India\u003c\/h2\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48743670022401,"sku":"TTD-8770","price":30861.53,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/188c0df5dd5ec8de6f6773956a507c6a.jpg?v=1778061461"},{"product_id":"khadas-edge-v","title":"Khadas Edge-V","description":"\u003cp\u003eThe Khadas Edge-V is a high-performance ARM-based single-board computer powered by the Rockchip RK3399Pro hexa-core processor, designed for edge computing, AI inference, and embedded Linux applications. Professional developers, roboticists, and AI engineers use this platform to prototype machine learning models, build IoT gateways, and deploy real-time computer vision systems in resource-constrained environments. It solves the critical problem of requiring desktop-grade computational power in a compact form factor while maintaining low power consumption for edge deployment scenarios.\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e \u003ctr\u003e \u003ctd\u003eSpecification\u003c\/td\u003e \u003ctd\u003eDetails\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProduct Type\u003c\/td\u003e \u003ctd\u003eARM-based Single Board Computer with NPU\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eBrand\u003c\/td\u003e \u003ctd\u003eKhadas\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOrigin\u003c\/td\u003e \u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProcessor\u003c\/td\u003e \u003ctd\u003eRockchip RK3399Pro Hexa-core (2x Cortex-A72 @ 1.8GHz + 4x Cortex-A53 @ 1.4GHz)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eRAM\u003c\/td\u003e \u003ctd\u003e4GB LPDDR4 (1600MHz dual-channel)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eStorage\u003c\/td\u003e \u003ctd\u003e16GB eMMC, microSD card slot for expansion\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eGPU\u003c\/td\u003e \u003ctd\u003eMali-T860 MP4 with OpenGL ES 3.2 support\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eNPU\u003c\/td\u003e \u003ctd\u003eDedicated Neural Processing Unit - 5 TOPS AI performance\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eConnectivity\u003c\/td\u003e \u003ctd\u003eUSB 3.0 Type-C, Dual USB 2.0, Gigabit Ethernet, HDMI 2.0, 3.5mm Audio\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eGPIO\u003c\/td\u003e \u003ctd\u003e40-pin header with I2C, SPI, UART, PWM support\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003ePower Consumption\u003c\/td\u003e \u003ctd\u003e5-10W typical operation\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOperating Systems\u003c\/td\u003e \u003ctd\u003eAndroid 9, Ubuntu 20.04, Debian Linux\u003c\/td\u003e \u003c\/tr\u003e \u003c\/table\u003e\u003ch2\u003eWhy Choose Khadas Edge-V?\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGST Invoice\u003c\/strong\u003e - A GST invoice is included with every order.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eExpert Support\u003c\/strong\u003e - Dedicated technical help on WhatsApp and email.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePan-India Delivery\u003c\/strong\u003e - Shipped across Bengaluru, Delhi NCR, Hyderabad and all of India.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTrusted by Makers\u003c\/strong\u003e - Used by students, hobbyists and professionals nationwide.\u003c\/p\u003e\u003ch2\u003eKey Features of Khadas Edge-V\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eRK3399Pro Hexa-core Processor: Delivers 2-3x performance improvement over Raspberry Pi 4 with optimized power efficiency for continuous edge computing deployments\u003c\/li\u003e \u003cli\u003eIntegrated 5 TOPS NPU: Accelerates AI inference tasks including object detection, image classification, and pose estimation without external GPU requirements\u003c\/li\u003e \u003cli\u003eMali-T860 MP4 GPU: Enables hardware-accelerated graphics rendering and parallel processing for multimedia and scientific computing applications\u003c\/li\u003e \u003cli\u003eUSB 3.0 Type-C Interface: Provides 5Gbps data transfer rates for high-speed peripheral connectivity and faster development workflows\u003c\/li\u003e \u003cli\u003e40-pin GPIO Header: Full compatibility with standard Linux GPIO libraries and hardware protocols including I2C, SPI, UART for sensor integration\u003c\/li\u003e \u003cli\u003eDual-Channel LPDDR4 Memory: 1600MHz bandwidth supports memory-intensive workloads and multithreaded application execution\u003c\/li\u003e \u003cli\u003eFanless Thermal Design: Passive heatsink cooling eliminates noise for deployment in audio-sensitive environments and reduces maintenance requirements\u003c\/li\u003e \u003cli\u003eMulti-OS Support: Flexibility to run Android, Ubuntu, or Debian based on application requirements with seamless cross-platform development\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003ePerfect For\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eEdge AI Inference: Deploy pre-trained neural networks for real-time object detection, facial recognition, and anomaly detection in surveillance systems without cloud dependency\u003c\/li\u003e \u003cli\u003eRobotics and Autonomous Systems: Process sensor data from cameras, LiDAR, and IMU sensors with sufficient computational headroom for autonomous navigation and control algorithms\u003c\/li\u003e \u003cli\u003eIoT Gateway and Data Processing: Aggregate data from multiple sensors, perform local filtering and preprocessing, and transmit only relevant information to cloud platforms for bandwidth optimization\u003c\/li\u003e \u003cli\u003eEmbedded Media Server: Run Kodi, Plex, or custom streaming applications with hardware-accelerated video decoding supporting 4K content delivery\u003c\/li\u003e \u003cli\u003eIndustrial Automation: Control manufacturing equipment, monitor process parameters, and execute real-time control logic with deterministic performance characteristics\u003c\/li\u003e \u003cli\u003eComputer Vision Research: Prototype and validate OpenCV-based vision algorithms with sufficient performance for real-time video processing at 1080p or higher resolutions\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003eHow to Use\u003c\/h2\u003e\u003cp\u003eBegin by selecting your preferred operating system from Khadas' official repository. Download the appropriate image file (Android, Ubuntu, or Debian) and flash it to the 16GB eMMC using the USB 3.0 Type-C connection with the Khadas USB Burning Tool on your development machine. Once the OS is installed, connect the Edge-V to your network via Gigabit Ethernet or configure WiFi through the system settings. For GPIO-based hardware projects, install the Khadas GPIO Python library and reference the pinout diagram provided in the documentation to map your sensors and actuators to the 40-pin header.\u003c\/p\u003e\u003cp\u003eFor AI inference workloads, install TensorFlow Lite or ONNX runtime optimized for the RK3399Pro NPU. Convert your pre-trained models to the appropriate format using the Khadas Model Conversion Tool, which automatically optimizes for the integrated NPU's quantization requirements. Test your model performance using the provided benchmark scripts to measure inference latency and power consumption. The Khadas community forums and GitHub repository contain extensive examples for computer vision, robotics, and IoT applications that can accelerate your development cycle. For production deployments, implement proper thermal monitoring and configure the CPU frequency scaling governor to balance performance and power consumption based on your workload characteristics.\u003c\/p\u003e\u003ch2\u003eProduct Overview\u003c\/h2\u003e\u003cp\u003eThe Khadas Edge-V leverages the Rockchip RK3399Pro System-on-Module architecture, which integrates dual Cortex-A72 cores (up to 1.8GHz) and quad Cortex-A53 cores (up to 1.4GHz) alongside a dedicated Mali-T860 MP4 GPU for graphics acceleration. The built-in Neural Processing Unit (NPU) delivers 5 TOPS of AI compute performance, enabling efficient inference of TensorFlow Lite, ONNX, and MobileNet models without requiring external accelerators. The board features 4GB LPDDR4 RAM and 16GB eMMC storage as standard, with dual-channel memory architecture supporting 1600MHz bandwidth for memory-intensive workloads. This combination of CPU, GPU, and NPU creates a versatile platform that outperforms Raspberry Pi 4 in computational tasks while maintaining compatibility with standard Linux distributions and development frameworks.\u003c\/p\u003e\u003cp\u003eThe Edge-V distinguishes itself through its robust I\/O connectivity including USB 3.0 Type-C, dual USB 2.0 ports, Gigabit Ethernet, HDMI 2.0 output, 3.5mm audio jack, and a 40-pin GPIO header for hardware interfacing. The board supports multiple operating systems including Android 9, Ubuntu 20.04, and Debian, providing flexibility for diverse application requirements. Thermal management is handled through a passive heatsink design, making it suitable for fanless deployment in noise-sensitive environments. The open-source community support and extensive documentation from Khadas ensure developers can rapidly prototype and scale their projects from proof-of-concept to production deployment.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cdetails\u003e \u003csummary\u003eWhat is the difference between Khadas Edge-V and Khadas Edge?\u003c\/summary\u003e \u003cp\u003eThe Edge-V features the RK3399Pro processor with an integrated NPU providing 5 TOPS of AI acceleration, while the standard Edge uses the RK3399 without NPU capabilities. The Edge-V is specifically optimized for machine learning inference tasks, making it superior for AI applications. Both share similar I\/O connectivity and form factors, but the Edge-V's dedicated neural processing unit makes it 5-10x faster for inference workloads compared to CPU-only execution on the standard Edge.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eCan I run Docker containers on the Khadas Edge-V?\u003c\/summary\u003e \u003cp\u003eYes, Docker is fully supported on Ubuntu and Debian installations. The ARM64 architecture is compatible with most containerized applications, though you should verify that your specific container images support ARMv8 architecture. We recommend using lightweight container distributions like Alpine Linux to optimize storage utilization on the 16GB eMMC. For production deployments, consider expanding storage via microSD card to accommodate multiple container images and persistent data volumes.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eWhat is the maximum power consumption and thermal output?\u003c\/summary\u003e \u003cp\u003eUnder typical operation, the Edge-V consumes 5-10W with peak consumption reaching 15W during full CPU and GPU utilization. The passive heatsink design dissipates this heat effectively without active cooling, maintaining junction temperatures below 80 degrees Celsius in standard ambient conditions. For continuous high-performance workloads, ensure adequate airflow around the board and monitor thermal output using the built-in temperature sensors accessible through the sysfs interface.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eIs the Khadas Edge-V suitable for real-time applications?\u003c\/summary\u003e \u003cp\u003eThe Edge-V runs standard Linux kernels which are not real-time by default. For deterministic real-time requirements below 10ms latency, consider using the PREEMPT_RT kernel patch or exploring dedicated real-time extensions. For most robotics, IoT, and edge AI applications with latency requirements in the 50-500ms range, the standard kernel provides sufficient performance. If you require hard real-time guarantees, consult our technical team for alternative solutions or custom kernel configurations.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eAre bulk discounts available?\u003c\/summary\u003e \u003cp\u003eYes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.\u003c\/p\u003e \u003c\/details\u003e\u003ch2\u003eCustomer Support\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEmail:\u003c\/strong\u003e techdepotindia@gmail.com\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhatsApp:\u003c\/strong\u003e Available for setup and troubleshooting help\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOrder your Khadas Edge-V today and start building your next project.\u003c\/strong\u003e\u003c\/p\u003e\u003ch2\u003eBuy Khadas Edge-V Online in India\u003c\/h2\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48743670219009,"sku":"TTD-8774","price":16987.08,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/198de036d9c9c35eb587ebdee656770a.jpg?v=1778061468"},{"product_id":"khadas-edge","title":"Khadas Edge","description":"\u003cp\u003eThe Khadas Edge is a high-performance ARM-based single-board computer featuring a Rockchip RK3399 hexa-core processor, designed for demanding embedded applications, AI inference, and multimedia processing. Professional developers and systems integrators use the Khadas Edge for edge computing deployments, robotics projects, and real-time video processing applications requiring superior computational power compared to traditional SBCs. This board solves the critical problem of delivering desktop-class performance in a compact form factor while maintaining low power consumption for always-on edge computing scenarios.\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e \u003ctr\u003e \u003ctd\u003eSpecification\u003c\/td\u003e \u003ctd\u003eDetails\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProduct Type\u003c\/td\u003e \u003ctd\u003eARM-based Single Board Computer\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eBrand\u003c\/td\u003e \u003ctd\u003eKhadas\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOrigin\u003c\/td\u003e \u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProcessor\u003c\/td\u003e \u003ctd\u003eRockchip RK3399 Hexa-core (2x ARM Cortex-A72 @ 1.8GHz, 4x ARM Cortex-A53 @ 1.4GHz)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eGPU\u003c\/td\u003e \u003ctd\u003eMali-T860 MP4 with OpenGL ES 3.2 support\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eRAM\u003c\/td\u003e \u003ctd\u003e4GB LPDDR4 (dual-channel)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eStorage\u003c\/td\u003e \u003ctd\u003e32GB or 64GB eMMC 5.1 with optional microSD card expansion\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eVideo Output\u003c\/td\u003e \u003ctd\u003eHDMI 2.0 (4K@60Hz), MIPI DSI connector for LCD panels\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eConnectivity\u003c\/td\u003e \u003ctd\u003eGigabit Ethernet, Dual USB 3.0, USB Type-C, 40-pin GPIO header\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003ePower Consumption\u003c\/td\u003e \u003ctd\u003e5-15W typical operation, 20W peak\u003c\/td\u003e \u003c\/tr\u003e \u003c\/table\u003e\u003ch2\u003eWhy Choose Khadas Edge?\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGST Invoice\u003c\/strong\u003e - A GST invoice is included with every order.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eExpert Support\u003c\/strong\u003e - Dedicated technical help on WhatsApp and email.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePan-India Delivery\u003c\/strong\u003e - Shipped across Bengaluru, Delhi NCR, Hyderabad and all of India.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTrusted by Makers\u003c\/strong\u003e - Used by students, hobbyists and professionals nationwide.\u003c\/p\u003e\u003ch2\u003eKey Features of Khadas Edge\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eRockchip RK3399 Hexa-core Processor delivering 2.4x performance improvement over quad-core alternatives for parallel workload execution\u003c\/li\u003e \u003cli\u003eMali-T860 MP4 GPU with 4 execution engines enabling hardware-accelerated video encoding\/decoding and 3D graphics rendering\u003c\/li\u003e \u003cli\u003eDual USB 3.0 ports providing 5Gbps bandwidth for high-speed data transfer and external storage connectivity\u003c\/li\u003e \u003cli\u003eMainline Linux kernel support ensuring long-term software stability and security updates without vendor dependency\u003c\/li\u003e \u003cli\u003e40-pin GPIO header with PWM, SPI, I2C, and UART interfaces for seamless integration with industrial sensors and actuators\u003c\/li\u003e \u003cli\u003eMIPI DSI and CSI connectors for direct integration with camera modules and LCD displays without USB overhead\u003c\/li\u003e \u003cli\u003eProfessional thermal design with copper heat spreader maintaining stable operation under sustained 100% CPU load\u003c\/li\u003e \u003cli\u003eGigabit Ethernet with optional WiFi\/Bluetooth module support for robust network-connected edge deployments\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003ePerfect For\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eEdge AI Inference: Deploy pre-trained TensorFlow Lite and ONNX models for real-time object detection, facial recognition, and anomaly detection in industrial IoT systems\u003c\/li\u003e \u003cli\u003e4K Video Processing: Perform hardware-accelerated H.264\/H.265 encoding for surveillance systems, live streaming servers, and video transcoding applications\u003c\/li\u003e \u003cli\u003eRobotics Control: Execute complex motion planning algorithms and sensor fusion tasks with dual-core A72 processors while A53 cores handle real-time control loops\u003c\/li\u003e \u003cli\u003eNetwork Appliances: Build custom firewalls, VPN gateways, and network monitoring solutions leveraging Gigabit Ethernet and mainline Linux networking stack\u003c\/li\u003e \u003cli\u003eMultimedia Servers: Create DLNA\/UPnP media servers with 4K video streaming capabilities and transcoding support for home automation systems\u003c\/li\u003e \u003cli\u003eScientific Computing: Execute MATLAB\/Octave workloads and perform data analysis with sufficient computational resources for research applications\u003c\/li\u003e \u003cli\u003eKubernetes Edge Nodes: Deploy containerized microservices using Docker and Kubernetes for distributed edge computing architectures\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003eHow to Use\u003c\/h2\u003e\u003cp\u003eBegin by connecting the Khadas Edge to power via the USB Type-C port using a 5V\/3A power adapter minimum, ensuring stable power delivery to prevent kernel panics. Insert a microSD card pre-flashed with Ubuntu 20.04 or Debian Bullseye using Etcher or dd command, then connect HDMI monitor, keyboard, and mouse for initial setup. The board boots into a graphical desktop environment within 30 seconds, where you can configure network settings, update the kernel, and install development tools via apt package manager. For headless deployments, configure SSH access by enabling it through raspi-config equivalent tools, then manage the board remotely over Ethernet without requiring display peripherals.\u003c\/p\u003e\u003cp\u003eFor advanced applications, access GPIO pins through sysfs interface or libgpiod library, configure I2C\/SPI devices using standard Linux tools, and leverage the Mali GPU acceleration through OpenGL ES or GStreamer plugins for video processing pipelines. The 40-pin header pinout mirrors Raspberry Pi compatibility, allowing direct use of HAT accessories with minor software adjustments. For machine learning projects, install TensorFlow or PyTorch using pre-compiled ARM64 packages, then optimize inference performance by utilizing the Mali GPU through TensorFlow Lite GPU delegate or ONNX Runtime. Monitor system temperature via \/sys\/class\/thermal interfaces and implement active cooling scripts if sustained operation exceeds 70 degrees Celsius in your deployment environment.\u003c\/p\u003e\u003ch2\u003eProduct Overview\u003c\/h2\u003e\u003cp\u003eThe Khadas Edge represents a significant advancement in single-board computing, powered by the Rockchip RK3399 processor which integrates dual ARM Cortex-A72 cores clocked at 1.8GHz and quad ARM Cortex-A53 cores at 1.4GHz, complemented by a dedicated Mali-T860 MP4 GPU. This heterogeneous multi-core architecture enables asymmetric processing where computationally intensive tasks leverage the high-performance A72 cores while background tasks utilize the efficient A53 cores, resulting in optimal power efficiency. The board includes 4GB of LPDDR4 RAM and supports up to 64GB eMMC storage, providing ample resources for complex applications including machine learning frameworks, containerized workloads, and real-time video encoding at 4K resolution.\u003c\/p\u003e\u003cp\u003eWhat distinguishes the Khadas Edge from competing platforms is its comprehensive I\/O ecosystem and professional-grade thermal management. The board features dual USB 3.0 ports for high-speed data transfer, Gigabit Ethernet for network connectivity, HDMI 2.0 output supporting 4K@60Hz video, and a 40-pin GPIO header compatible with Raspberry Pi peripherals. Advanced cooling through a copper heat spreader and optional active cooling ensures sustained performance under continuous load. The device runs mainline Linux kernels and supports Ubuntu, Debian, and Android operating systems, making it ideal for developers requiring upstream kernel support and long-term software maintenance without vendor lock-in.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cdetails\u003e \u003csummary\u003eWhat is the difference between Khadas Edge and Khadas Edge V?\u003c\/summary\u003e \u003cp\u003eThe Khadas Edge V features an upgraded Rockchip RK3399Pro processor with an integrated 5 TOPS TPU coprocessor optimized for neural network inference, making it superior for AI applications. The standard Edge uses the RK3399 without TPU acceleration. Both share identical RAM, storage options, and I\/O interfaces. Choose Edge V if your project requires dedicated AI acceleration; choose standard Edge for general-purpose computing and video processing workloads.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eCan I run Docker and Kubernetes on Khadas Edge?\u003c\/summary\u003e \u003cp\u003eYes, the Khadas Edge fully supports Docker and Kubernetes through mainline Linux kernel. Install Docker using standard ARM64 repositories, then deploy lightweight Kubernetes distributions like K3s or MicroK8s for edge computing clusters. The 4GB RAM is sufficient for small containerized workloads; for production deployments with multiple containers, consider clustering multiple Edge boards. GPU workloads require additional NVIDIA Container Toolkit configuration adapted for Mali GPU architecture.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eWhat storage options are available and can I upgrade?\u003c\/summary\u003e \u003cp\u003eThe Khadas Edge comes with 32GB or 64GB eMMC storage soldered to the board, which cannot be upgraded. However, you can expand storage using microSD cards up to 512GB or external USB 3.0 storage devices. For applications requiring higher I\/O performance, connect NVMe SSDs via USB 3.0 adapter, achieving read speeds up to 400MB\/s. The eMMC is suitable for OS and applications; use external storage for media libraries and database files.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eIs the Khadas Edge suitable for reliable continuous operation?\u003c\/summary\u003e \u003cp\u003eYes, the Khadas Edge is engineered for continuous operation with proper thermal management. The copper heat spreader maintains temperatures below 70 degrees Celsius under sustained load with ambient cooling. For extended reliable deployments, implement active cooling using a 5V fan connected to GPIO PWM pins, monitor temperature via sysfs, and ensure adequate airflow around the board. The LPDDR4 RAM and eMMC storage are rated for continuous operation without degradation.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eAre bulk discounts available?\u003c\/summary\u003e \u003cp\u003eYes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.\u003c\/p\u003e \u003c\/details\u003e\u003ch2\u003eCustomer Support\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEmail:\u003c\/strong\u003e techdepotindia@gmail.com\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhatsApp:\u003c\/strong\u003e Available for setup and troubleshooting help\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOrder your Khadas Edge today and start building your next project.\u003c\/strong\u003e\u003c\/p\u003e\u003ch2\u003eBuy Khadas Edge Online in India\u003c\/h2\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48743670284545,"sku":"TTD-8775","price":13063.81,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/7f4a3b149a621ae8c2abe8adadedf527.jpg?v=1778061469"},{"product_id":"khadas-vim1","title":"Khadas VIM1","description":"\u003cp\u003ePurchase the \u003cstrong\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThe Khadas VIM1 is a powerful single-board computer featuring an Amlogic S905X processor with ARM Cortex-A53 architecture, designed for developers, makers, and embedded systems engineers who need a compact yet capable computing platform. Professionals in IoT development, edge computing, robotics, and multimedia applications rely on the VIM1 for its exceptional performance-to-size ratio and extensive connectivity options. This device solves the challenge of deploying sophisticated Linux-based applications in space-constrained environments while maintaining excellent thermal efficiency and power management capabilities.\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e \u003ctr\u003e \u003ctd\u003eSpecification\u003c\/td\u003e \u003ctd\u003eDetails\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProduct Type\u003c\/td\u003e \u003ctd\u003eSingle Board Computer (SBC)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eBrand\u003c\/td\u003e \u003ctd\u003eKhadas\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOrigin\u003c\/td\u003e \u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProcessor\u003c\/td\u003e \u003ctd\u003eAmlogic S905X Quad-Core ARM Cortex-A53 @ 1.5GHz\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eRAM\u003c\/td\u003e \u003ctd\u003e2GB DDR3 SDRAM\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eStorage\u003c\/td\u003e \u003ctd\u003e16GB eMMC Flash Memory\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eGPU\u003c\/td\u003e \u003ctd\u003eMali-450 with 4K Video Decode Support\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eConnectivity\u003c\/td\u003e \u003ctd\u003eGigabit Ethernet, USB 3.0, USB 2.0, HDMI 2.0, 3.5mm Audio Jack\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eGPIO\u003c\/td\u003e \u003ctd\u003e40-pin Header with PWM, I2C, SPI, UART Support\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003ePower Consumption\u003c\/td\u003e \u003ctd\u003e2W Idle, 5W Full Load\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOperating System Support\u003c\/td\u003e \u003ctd\u003eUbuntu, Debian, Android, Khadas KOS\u003c\/td\u003e \u003c\/tr\u003e \u003c\/table\u003e\u003ch2\u003eWhy Choose Khadas VIM1?\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGST Invoice\u003c\/strong\u003e - A GST invoice is included with every order.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eExpert Support\u003c\/strong\u003e - Dedicated technical help on WhatsApp and email.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePan-India Delivery\u003c\/strong\u003e - Shipped across Bengaluru, Delhi NCR, Hyderabad and all of India.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTrusted by Makers\u003c\/strong\u003e - Used by students, hobbyists and professionals nationwide.\u003c\/p\u003e\u003ch2\u003eKey Features of Khadas VIM1\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eAmlogic S905X processor with quad-core ARM Cortex-A53 architecture delivering 1.5GHz sustained performance for multithreaded applications and real-time processing tasks\u003c\/li\u003e \u003cli\u003eMali-450 GPU enabling hardware-accelerated 4K video decoding, OpenGL ES 2.0 graphics rendering, and multimedia playback without CPU overhead\u003c\/li\u003e \u003cli\u003eGigabit Ethernet connectivity with RJ45 connector providing 1000Mbps network bandwidth for IoT gateways, edge servers, and networked data acquisition systems\u003c\/li\u003e \u003cli\u003eUSB 3.0 SuperSpeed port delivering 5Gbps data transfer rates for high-speed peripheral connectivity and external storage interfacing\u003c\/li\u003e \u003cli\u003e40-pin GPIO header with native support for PWM, I2C, SPI, and UART protocols enabling seamless integration with sensors, actuators, and industrial control modules\u003c\/li\u003e \u003cli\u003eDual-channel LPDDR3 memory architecture with optimized bus bandwidth for smooth multimedia processing and parallel data operations\u003c\/li\u003e \u003cli\u003eActive thermal management through integrated heatsink design maintaining optimal operating temperatures under sustained computational loads\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003ePerfect For\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eIoT Gateway Development: Deploy edge computing applications for sensor data aggregation, protocol bridging, and local analytics before cloud transmission, leveraging the VIM1's Gigabit Ethernet and low power consumption\u003c\/li\u003e \u003cli\u003eMultimedia Server Deployment: Build home theater PCs, media centers, and streaming servers utilizing the Mali-450 GPU for 4K video transcoding and real-time media playback without external accelerators\u003c\/li\u003e \u003cli\u003eRobotics and Autonomous Systems: Integrate as the computational brain for mobile robots, drones, and autonomous vehicles requiring real-time decision-making with GPIO-based motor control and sensor interfacing\u003c\/li\u003e \u003cli\u003eIndustrial Control Systems: Deploy as a PLC alternative for factory automation, building management, and SCADA applications where ARM-based processing and native industrial protocol support are required\u003c\/li\u003e \u003cli\u003eMachine Learning Edge Inference: Run TensorFlow Lite and PyTorch models for on-device AI inference in surveillance, anomaly detection, and predictive maintenance applications without cloud dependency\u003c\/li\u003e \u003cli\u003eNetwork Monitoring and Security: Configure as a network analyzer, packet sniffer, or firewall appliance utilizing the Gigabit Ethernet and multi-threaded processing capabilities\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003eHow to Use\u003c\/h2\u003e\u003cp\u003eBegin by selecting your preferred operating system from Khadas's official repository. For Linux-based development, download the Ubuntu or Debian image, flash it to a microSD card using Etcher or dd command, and insert the card into the microSD slot. Connect the VIM1 to power using the included USB-C adapter (minimum 2A recommended), attach an HDMI display, USB keyboard, and mouse for initial setup. The board will boot within 30 seconds, presenting a graphical desktop environment where you can configure network settings, install development tools, and begin your project work.\u003c\/p\u003e\u003cp\u003eFor headless deployment in production environments, establish SSH connectivity over Ethernet by identifying the board's IP address from your router's DHCP client list, then connect via SSH using the default credentials. Install necessary development frameworks such as Python 3, Node.js, or Docker depending on your application requirements. Utilize the 40-pin GPIO header for hardware interfacing by installing WiringPi or libgpiod libraries, enabling direct control of external devices through Python or C programs. For multimedia applications, leverage the Mali-450 GPU acceleration by installing appropriate video codecs and utilizing hardware-accelerated libraries like FFmpeg with NEON optimization flags. Monitor system performance and thermal conditions using tools like htop and lm-sensors to ensure optimal operation under sustained loads.\u003c\/p\u003e\u003ch2\u003eProduct Overview\u003c\/h2\u003e\u003cp\u003eThe Khadas VIM1 operates as a fully-featured ARM-based single-board computer running on the Amlogic S905X quad-core processor clocked at 1.5GHz, paired with 2GB of DDR3 RAM and 16GB of eMMC storage as standard configuration. The architecture leverages ARM's Cortex-A53 instruction set, delivering sustained performance suitable for multimedia decoding, real-time data processing, and containerized application deployment. The device integrates a Mali-450 GPU capable of handling 4K video playback and OpenGL ES graphics rendering, making it exceptionally versatile for both computational and graphical workloads.\u003c\/p\u003e\u003cp\u003eWhat distinguishes the VIM1 from competing single-board computers is its professional-grade build quality, comprehensive I\/O connectivity including USB 3.0, Gigabit Ethernet, HDMI 2.0, and a 40-pin GPIO header compatible with standard Raspberry Pi accessories. The board features dual-channel LPDDR3 memory architecture for optimized bandwidth utilization, active thermal management through a heatsink design, and support for multiple Linux distributions including Ubuntu, Debian, and Khadas's proprietary KOS. The VIM1's power consumption ranges from 2W in idle state to 5W under full load, making it ideal for always-on applications and battery-backed systems.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cdetails\u003e \u003csummary\u003eWhat operating systems are compatible with the Khadas VIM1?\u003c\/summary\u003e \u003cp\u003eThe VIM1 supports multiple operating systems including Ubuntu 16.04 and 18.04 LTS, Debian Stretch and Buster, Android 6.0 and 7.1, and Khadas's proprietary KOS. Each distribution is optimized for the Amlogic S905X architecture with pre-compiled kernel modules and hardware acceleration drivers. You can flash different OS images to the eMMC storage or boot from microSD card for testing purposes without affecting the primary installation.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eCan the Khadas VIM1 handle 4K video playback smoothly?\u003c\/summary\u003e \u003cp\u003eYes, the Mali-450 GPU includes dedicated hardware video decoders supporting H.264, H.265, and VP9 codecs at 4K resolution (3840x2160) at 30fps. The GPU handles all decoding operations independently from the CPU, consuming minimal processor resources. For optimal playback, use media players like VLC or Kodi with hardware acceleration enabled, and ensure your HDMI display supports 4K input at your desired refresh rate.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eIs the VIM1 suitable for running Docker containers and microservices?\u003c\/summary\u003e \u003cp\u003eAbsolutely. The VIM1 runs full ARM-compatible Docker images, making it excellent for containerized application deployment. The 2GB RAM and quad-core processor can handle multiple lightweight containers simultaneously. Use Docker's ARM32v7 or ARM64v8 base images depending on your chosen operating system. For resource-constrained scenarios, consider using Docker's multi-stage builds and Alpine Linux base images to minimize container footprint and maximize available memory for your applications.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eWhat is the maximum GPIO current output from the 40-pin header?\u003c\/summary\u003e \u003cp\u003eEach GPIO pin on the 40-pin header can source or sink approximately 20mA of current at 3.3V logic levels. For applications requiring higher current output such as LED arrays or motor control, use external transistor drivers or relay modules. The VIM1 also provides dedicated PWM pins enabling precise control of high-power devices through external MOSFETs or integrated motor driver ICs.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eCan I upgrade the RAM or storage on the VIM1?\u003c\/summary\u003e \u003cp\u003eThe RAM and eMMC storage are soldered directly to the motherboard and cannot be upgraded. However, you can expand storage capacity by connecting external USB drives or NAS systems via the USB 3.0 port. The 2GB RAM configuration is sufficient for most embedded applications; if higher memory is required, consider the Khadas VIM2 or VIM3 models which offer 3GB and 4GB options respectively.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eAre bulk discounts available?\u003c\/summary\u003e \u003cp\u003eYes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.\u003c\/p\u003e \u003c\/details\u003e\u003ch2\u003eCustomer Support\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEmail:\u003c\/strong\u003e techdepotindia@gmail.com\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhatsApp:\u003c\/strong\u003e Available for setup and troubleshooting help\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOrder your Khadas VIM1 today and start building your next project.\u003c\/strong\u003e\u003c\/p\u003e\u003ch2\u003eBuy Khadas VIM1 Online in India\u003c\/h2\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48743670350081,"sku":"TTD-8776","price":9422.34,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/a9669b6323382760ae5d56aa22fde8b4.jpg?v=1778061472"},{"product_id":"khadas-vim3","title":"Khadas VIM3","description":"\u003cp\u003eOur team in Bengaluru is available reliable to support your journey from product selection to project completion.\u003c\/p\u003e\u003cp\u003eThe Khadas VIM3 is a high-performance ARM-based single-board computer featuring the Amlogic S905X3 processor with dual NPU cores, designed for edge AI computing, multimedia applications, and embedded Linux development. Professional developers, IoT engineers, and AI researchers use the VIM3 to prototype machine learning models, build intelligent edge devices, and develop advanced multimedia applications with hardware acceleration. This board solves the critical challenge of deploying computationally intensive AI workloads at the edge while maintaining power efficiency and thermal stability in compact form factors.\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e \u003ctr\u003e \u003ctd\u003eSpecification\u003c\/td\u003e \u003ctd\u003eDetails\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProduct Type\u003c\/td\u003e \u003ctd\u003eARM Single-Board Computer with Dual NPU\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eBrand\u003c\/td\u003e \u003ctd\u003eKhadas\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOrigin\u003c\/td\u003e \u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProcessor\u003c\/td\u003e \u003ctd\u003eAmlogic S905X3 Quad-core ARM Cortex-A73 @ 2.2GHz\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eRAM\u003c\/td\u003e \u003ctd\u003e4GB LPDDR4\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eStorage\u003c\/td\u003e \u003ctd\u003e32GB eMMC with microSD card slot support up to 256GB\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eNPU Performance\u003c\/td\u003e \u003ctd\u003eDual NPU cores, 5 TOPS INT8 AI acceleration\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eGPU\u003c\/td\u003e \u003ctd\u003eMali-G52 MP4 with OpenGL ES 3.2 support\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eConnectivity\u003c\/td\u003e \u003ctd\u003eGigabit Ethernet, WiFi 6 (802.11ax), Bluetooth 5.1, USB 3.1\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eVideo Codec Support\u003c\/td\u003e \u003ctd\u003e4K H.265\/H.264 encode\/decode, VP9, AV1 decode\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOperating Systems\u003c\/td\u003e \u003ctd\u003eAndroid 9.0, Linux (Ubuntu, Debian), Custom Firmware\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003ePower Consumption\u003c\/td\u003e \u003ctd\u003e5-15W typical operation\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eDimensions\u003c\/td\u003e \u003ctd\u003e82mm x 48mm x 20mm\u003c\/td\u003e \u003c\/tr\u003e \u003c\/table\u003e\u003ch2\u003eWhy Choose Khadas VIM3?\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGST Invoice\u003c\/strong\u003e - A GST invoice is included with every order.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eExpert Support\u003c\/strong\u003e - Dedicated technical help on WhatsApp and email.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePan-India Delivery\u003c\/strong\u003e - Shipped across Bengaluru, Delhi NCR, Hyderabad and all of India.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTrusted by Makers\u003c\/strong\u003e - Used by students, hobbyists and professionals nationwide.\u003c\/p\u003e\u003ch2\u003eKey Features of Khadas VIM3\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eDual NPU cores delivering 5 TOPS INT8 performance for real-time AI inference without external accelerators or cloud dependency\u003c\/li\u003e \u003cli\u003eQuad-core ARM Cortex-A73 CPU at 2.2GHz with Mali-G52 MP4 GPU enabling parallel processing of compute-intensive tasks and graphics rendering\u003c\/li\u003e \u003cli\u003eHardware video encoding\/decoding supporting 4K H.265 and H.264 codecs, reducing CPU load for multimedia and surveillance applications by up to 70%\u003c\/li\u003e \u003cli\u003eWiFi 6 and Gigabit Ethernet connectivity with dual-band support for low-latency, high-bandwidth IoT and edge computing deployments\u003c\/li\u003e \u003cli\u003eFlexible operating system support including Android 9.0 and Linux distributions, allowing developers to choose optimal environments for their specific applications\u003c\/li\u003e \u003cli\u003ePassive thermal design with optional active cooling, maintaining stable operation at full performance under sustained computational loads\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003ePerfect For\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eEdge AI and Machine Learning: Deploy TensorFlow Lite and ONNX models for real-time object detection, facial recognition, and anomaly detection without cloud latency or bandwidth constraints\u003c\/li\u003e \u003cli\u003eVideo Surveillance and Analytics: Build intelligent CCTV systems with on-device video processing, person detection, and behavioral analytics using hardware video codecs for 4K stream processing\u003c\/li\u003e \u003cli\u003eIoT Gateway and Smart Home: Create central hubs for home automation with local AI processing, supporting multiple sensor integrations and protocol translations via WiFi 6 and Ethernet\u003c\/li\u003e \u003cli\u003eEmbedded Linux Development: Prototype and develop custom Linux applications, kernel modules, and device drivers with full hardware access and extensive community support\u003c\/li\u003e \u003cli\u003eMultimedia Transcoding: Develop video transcoding servers leveraging hardware H.265\/H.264 encoding for efficient streaming platform backend infrastructure\u003c\/li\u003e \u003cli\u003eRobotics and Autonomous Systems: Power vision-based navigation and decision-making systems with real-time neural network inference for autonomous robots and drones\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003eHow to Use\u003c\/h2\u003e\u003cp\u003eTo get started with the Khadas VIM3, first flash your chosen operating system (Android or Linux) onto the eMMC storage using the Khadas Burn Tool on Windows, macOS, or Linux. Connect the board to a power source using the included USB-C power adapter (minimum 5V\/2A), and establish network connectivity via Ethernet or WiFi 6. Access the board through SSH (Linux) or ADB (Android) using the default credentials provided in Khadas documentation. Install the necessary development tools and SDKs based on your application: for AI projects, install TensorFlow Lite or ONNX Runtime; for multimedia, install FFmpeg with hardware acceleration libraries; for general Linux development, use apt-get package manager.\u003c\/p\u003e\u003cp\u003eFor AI model deployment, convert your trained models to TensorFlow Lite or ONNX format, then use Khadas's NPU SDK to optimize and quantize models for the dual NPU cores. The VIM3 provides dedicated APIs and sample code for NPU inference, enabling you to achieve 5 TOPS performance with minimal latency. Monitor system resources using standard Linux tools like htop and iotop, and leverage the board's GPIO, I2C, and SPI interfaces for sensor integration. Khadas provides extensive documentation, GitHub repositories with example code, and an active community forum for troubleshooting and optimization guidance.\u003c\/p\u003e\u003ch2\u003eProduct Overview\u003c\/h2\u003e\u003cp\u003eThe Khadas VIM3 is an industrial-grade single-board computer that combines powerful processing capabilities with dedicated neural processing units for AI acceleration. Built on the Amlogic S905X3 SoC, it features a quad-core ARM Cortex-A73 CPU running at 2.2GHz, coupled with dual NPU cores capable of 5 TOPS (Tera Operations Per Second) of INT8 performance. The architecture includes 4GB of LPDDR4 RAM and 32GB of eMMC storage as standard, enabling simultaneous execution of complex applications and real-time inference tasks. The board integrates Mali-G52 MP4 GPU for graphics acceleration and includes dedicated hardware video encoders\/decoders supporting 4K H.265 and H.264 codecs, making it ideal for video surveillance, transcoding, and multimedia processing applications.\u003c\/p\u003e\u003cp\u003eWhat distinguishes the VIM3 from competitors is its dual NPU design specifically optimized for TensorFlow Lite and ONNX model inference, combined with Khadas's commitment to open-source software and extensive documentation. The board features multiple connectivity options including Gigabit Ethernet, dual-band WiFi 6, Bluetooth 5.1, and USB 3.1 ports, enabling seamless integration into networked IoT ecosystems. Thermal management is handled through a passive heatsink design with optional active cooling, allowing sustained performance under heavy computational loads. The VIM3 runs Android, Linux, or custom firmware, providing developers with complete flexibility for application development and deployment.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cdetails\u003e \u003csummary\u003eWhat is the difference between Khadas VIM3 and VIM3L?\u003c\/summary\u003e \u003cp\u003eThe VIM3 features dual NPU cores with 5 TOPS INT8 performance and Mali-G52 MP4 GPU, making it ideal for AI-heavy applications. The VIM3L removes the NPU cores but retains the CPU and GPU, making it more affordable for non-AI applications. Choose VIM3 if you need on-device machine learning inference; choose VIM3L for general computing, multimedia, or IoT gateway applications without AI acceleration requirements.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eCan I run TensorFlow and PyTorch models directly on the VIM3 NPU?\u003c\/summary\u003e \u003cp\u003eThe VIM3's NPU cores are optimized for TensorFlow Lite and ONNX Runtime inference, not for training. You must train models in PyTorch or TensorFlow on a desktop\/cloud GPU, then convert to TensorFlow Lite or ONNX format, quantize to INT8, and deploy on the VIM3 NPU. Khadas provides conversion tools and documentation for this workflow. PyTorch models require conversion to ONNX before NPU deployment.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eWhat is the maximum power consumption and thermal performance of the VIM3?\u003c\/summary\u003e \u003cp\u003eThe VIM3 typically consumes 7-10W during idle operations and 12-15W under full CPU+GPU+NPU load. Peak power consumption can reach 18W during sustained AI inference tasks. The passive heatsink design maintains junction temperatures below 80°C under typical conditions. For continuous heavy workloads or high ambient temperatures above 35°C, Khadas offers optional active cooling solutions. Thermal throttling activates at 100°C to protect the SoC.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eAre bulk discounts available?\u003c\/summary\u003e \u003cp\u003eYes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.\u003c\/p\u003e \u003c\/details\u003e\u003ch2\u003eCustomer Support\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEmail:\u003c\/strong\u003e techdepotindia@gmail.com\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhatsApp:\u003c\/strong\u003e Available for setup and troubleshooting help\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOrder your Khadas VIM3 today and start building your next project.\u003c\/strong\u003e\u003c\/p\u003e\u003ch2\u003eBuy Khadas VIM3 Online in India\u003c\/h2\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48743670513921,"sku":"TTD-8777","price":13730.45,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/fb0d19a594551748d5c001ca9cf73424.png?v=1778061474"},{"product_id":"smart4418","title":"Smart4418","description":"\u003cp\u003eSmart4418\u003c\/p\u003e\u003ch2\u003eWhy Choose Smart4418?\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGST Invoice\u003c\/strong\u003e - A GST invoice is included with every order.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eExpert Support\u003c\/strong\u003e - Dedicated technical help on WhatsApp and email.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePan-India Delivery\u003c\/strong\u003e - Shipped across Bengaluru, Delhi NCR, Hyderabad and all of India.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTrusted by Makers\u003c\/strong\u003e - Used by students, hobbyists and professionals nationwide.\u003c\/p\u003e\u003ch2\u003eKey Features of Smart4418\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eCompact single-board computer aimed at embedded Linux\/Android development and industrial prototyping\u003c\/li\u003e \u003cli\u003eRuns standard embedded Linux\/Android workflows, making it accessible to developers already familiar with SBC development\u003c\/li\u003e \u003cli\u003eSmall board footprint suits embedding into custom enclosures and industrial fixtures\u003c\/li\u003e \u003cli\u003eA practical option for projects that have outgrown a basic microcontroller but don't need a full desktop-class SBC\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003ePerfect For\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eEmbedded Linux\/Android development and prototyping\u003c\/li\u003e \u003cli\u003eIndustrial control and HMI (human-machine interface) projects\u003c\/li\u003e \u003cli\u003eCustom embedded product development\u003c\/li\u003e \u003cli\u003eLearning single-board-computer-based embedded systems\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cdetails\u003e\u003csummary\u003eDo you offer bulk pricing?\u003c\/summary\u003e\u003cp\u003eYes — message us on WhatsApp for bulk or business pricing on Smart4418.\u003c\/p\u003e\u003c\/details\u003e\u003ch2\u003eCustomer Support\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEmail:\u003c\/strong\u003e techdepotindia@gmail.com\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhatsApp:\u003c\/strong\u003e Available for setup and troubleshooting help\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOrder your Smart4418 today and start building your next project.\u003c\/strong\u003e\u003c\/p\u003e\u003ch2\u003eBuy Smart4418 Online in India\u003c\/h2\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48743850017025,"sku":"TES-EV02429","price":5045.6,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/smart4418-core-01-900x630-228x228.jpg?v=1778063785"},{"product_id":"linkstar-h28k-0208-2gb-ram-8gb-emmc-quad-core-pcie-rgmii-gigabit-port","title":"LinkStar-H28K-0208, 2GB RAM \u0026 8GB eMMC, Quad-core, PCIE\/RGMII Gigabit Port","description":"\u003cp\u003eLinkStar-H28K-0208, 2GB RAM \u0026amp; 8GB eMMC, Quad-core, PCIE\/RGMII Gigabit Port\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd\u003eRAM\u003c\/td\u003e \u003ctd\u003e2GB\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eStorage\u003c\/td\u003e \u003ctd\u003e8GB eMMC onboard\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eCPU\u003c\/td\u003e \u003ctd\u003eQuad-core processor\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eNetworking\u003c\/td\u003e \u003ctd\u003ePCIe and RGMII-based Gigabit Ethernet port\u003c\/td\u003e \u003c\/tr\u003e \u003c\/tbody\u003e \u003c\/table\u003e\u003ch2\u003eWhy Choose LinkStar-H28K-0208, 2GB RAM \u0026amp; 8GB eMMC, Quad-core, PCIE\/RGMII Gigabit Port?\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGST Invoice\u003c\/strong\u003e - A GST invoice is included with every order.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eExpert Support\u003c\/strong\u003e - Dedicated technical help on WhatsApp and email.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePan-India Delivery\u003c\/strong\u003e - Shipped across Bengaluru, Delhi NCR, Hyderabad and all of India.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTrusted by Makers\u003c\/strong\u003e - Used by students, hobbyists and professionals nationwide.\u003c\/p\u003e\u003ch2\u003eKey Features of LinkStar-H28K-0208, 2GB RAM \u0026amp; 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Game developers, retro gaming enthusiasts, and embedded systems engineers utilize this platform to create custom gaming consoles and develop ARM-optimized applications with superior processing power compared to standard Raspberry Pi alternatives. This kit solves the challenge of building a compact, high-performance gaming device that can handle intensive emulation tasks while maintaining thermal stability and power efficiency for extended gaming sessions.\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e \u003ctr\u003e \u003ctd\u003eSpecification\u003c\/td\u003e \u003ctd\u003eDetails\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProduct Type\u003c\/td\u003e \u003ctd\u003eSingle Board Computer Gaming Console Kit\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eBrand\u003c\/td\u003e \u003ctd\u003eHardkernel ODROID\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOrigin\u003c\/td\u003e \u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProcessor\u003c\/td\u003e \u003ctd\u003eSamsung Exynos 5422 Octa-Core, 1.6 GHz (4x Cortex-A15 + 4x Cortex-A7)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eRAM\u003c\/td\u003e \u003ctd\u003e2GB LPDDR3 RAM\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eGPU\u003c\/td\u003e \u003ctd\u003eMali-T628 MP6 with OpenGL ES 3.1 Support\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eStorage\u003c\/td\u003e \u003ctd\u003e16GB eMMC Flash Memory (expandable via microSD)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eConnectivity\u003c\/td\u003e \u003ctd\u003eGigabit Ethernet, USB 3.0, USB 2.0, HDMI 2.0, 3.5mm Audio Jack\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003ePower Consumption\u003c\/td\u003e \u003ctd\u003e5W typical, 15W peak with active cooling\u003c\/td\u003e \u003c\/tr\u003e \u003c\/table\u003e\u003ch2\u003eWhy Choose ODROID-XU4 OGST Gaming Console Kit?\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGST Invoice\u003c\/strong\u003e - A GST invoice is included with every order.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eExpert Support\u003c\/strong\u003e - Dedicated technical help on WhatsApp and email.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePan-India Delivery\u003c\/strong\u003e - Shipped across Bengaluru, Delhi NCR, Hyderabad and all of India.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTrusted by Makers\u003c\/strong\u003e - Used by students, hobbyists and professionals nationwide.\u003c\/p\u003e\u003ch2\u003eKey Features of ODROID-XU4 OGST Gaming Console Kit\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eOcta-Core ARM Processor with 1.6 GHz clock speed delivering 4-5x performance improvement over Raspberry Pi 3 for demanding emulation workloads and gaming applications\u003c\/li\u003e \u003cli\u003eMali-T628 MP6 GPU with OpenGL ES 3.1 support enabling hardware-accelerated graphics rendering and smooth frame rates up to 60 FPS for retro gaming\u003c\/li\u003e \u003cli\u003e2GB LPDDR3 RAM with 16GB eMMC storage providing sufficient memory bandwidth for multitasking and fast game loading without stuttering or lag\u003c\/li\u003e \u003cli\u003eActive Cooling System with large aluminum heatsink and optional fan maintaining thermal stability below 70 degrees Celsius during extended gaming sessions\u003c\/li\u003e \u003cli\u003ePre-configured Gaming OS with RetroArch and multiple emulator cores eliminating setup complexity and enabling immediate gaming experience out of the box\u003c\/li\u003e \u003cli\u003eGigabit Ethernet and USB 3.0 connectivity supporting high-speed data transfers and network gaming capabilities for online multiplayer experiences\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003ePerfect For\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eRetro Gaming Console Development: Build custom gaming consoles supporting NES, SNES, Genesis, PlayStation 1, and arcade emulation with superior performance and thermal management compared to standard platforms\u003c\/li\u003e \u003cli\u003eGame Development and Testing: Utilize the ARM architecture for developing and testing ARM-optimized games with real hardware performance metrics and OpenGL rendering capabilities\u003c\/li\u003e \u003cli\u003eMedia Center and Streaming: Deploy as a high-performance media center supporting 4K video playback, streaming services, and local media libraries with Gigabit Ethernet connectivity\u003c\/li\u003e \u003cli\u003eEmbedded Systems Education: Teach advanced embedded systems concepts with a powerful platform supporting Linux kernel development, device driver programming, and heterogeneous computing architectures\u003c\/li\u003e \u003cli\u003eIoT and Robotics Projects: Leverage the octa-core processor and GPIO interfaces for complex robotic vision processing, machine learning inference, and real-time control applications\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003eHow to Use\u003c\/h2\u003e\u003cp\u003eBegin by unboxing the ODROID-XU4 OGST Gaming Console Kit and verifying all components including the main board, gaming case, power adapter, HDMI cable, and wireless controllers. Connect the ODROID-XU4 to your TV or monitor using the HDMI 2.0 cable, plug in the 5V 4A power adapter, and press the power button on the gaming case. The pre-installed gaming OS will boot automatically, presenting you with a menu interface to select your desired emulation platform and game library.\u003c\/p\u003e\u003cp\u003ePair the wireless controllers by pressing the pairing button on each controller and selecting them from the system settings menu. Navigate through the RetroArch interface using the controller to select games, adjust graphics settings, and configure controller mappings. For advanced users, connect via SSH using the Gigabit Ethernet port to access the Linux terminal for custom emulator configuration, game ROM management, and system optimization. The active cooling system will automatically engage during heavy processing loads, maintaining optimal thermal performance without requiring manual intervention.\u003c\/p\u003e\u003ch2\u003eProduct Overview\u003c\/h2\u003e\u003cp\u003eThe ODROID-XU4 is engineered as a premium single-board computer that combines desktop-class performance with the compact form factor of embedded systems. At its core lies the Samsung Exynos 5422 processor featuring four ARM Cortex-A15 cores and four ARM Cortex-A7 cores, enabling dynamic frequency scaling and heterogeneous multi-processing for optimal power consumption. The board includes 2GB of LPDDR3 RAM, Mali-T628 MP6 GPU with OpenGL ES 3.1 support, and eMMC storage options, making it substantially more powerful than competing platforms for demanding gaming and multimedia applications.\u003c\/p\u003e\u003cp\u003eThe OGST Gaming Console Kit variant comes pre-configured with essential peripherals including a custom gaming case with active cooling, pre-installed Linux-based gaming OS, wireless controllers, and HDMI connectivity for immediate plug-and-play operation. The thermal design incorporates a large heatsink and optional active cooling fan, ensuring sustained performance during extended gaming sessions without throttling. The kit's architecture supports multiple emulation platforms including NES, SNES, Genesis, PlayStation 1, and arcade systems, delivering authentic retro gaming experiences with enhanced graphics scaling and controller mapping capabilities.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cdetails\u003e \u003csummary\u003eWhat emulation platforms does the ODROID-XU4 OGST support?\u003c\/summary\u003e \u003cp\u003eThe ODROID-XU4 OGST Gaming Console Kit supports multiple emulation platforms through RetroArch including NES, SNES, Game Boy, Genesis, Sega CD, PlayStation 1, N64, arcade systems via MAME, and many others. The octa-core processor provides sufficient performance to run these emulators at full speed with enhanced graphics scaling, save states, and controller remapping. Performance varies by emulator and game complexity, but most titles run at 60 FPS with minimal input lag.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eCan I expand storage on the ODROID-XU4 OGST?\u003c\/summary\u003e \u003cp\u003eYes, the ODROID-XU4 includes a microSD card slot supporting cards up to 128GB, allowing you to significantly expand your game library beyond the 16GB internal eMMC storage. Simply insert a microSD card formatted as ext4 or FAT32, configure the system to recognize it as additional storage, and transfer your game ROMs. The Gigabit Ethernet port also enables network-based game streaming from a connected NAS or external server for even larger game collections.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eWhat is the thermal performance and cooling capability?\u003c\/summary\u003e \u003cp\u003eThe ODROID-XU4 OGST includes a large aluminum heatsink that dissipates heat passively during normal gaming loads, maintaining temperatures around 50-60 degrees Celsius. An optional active cooling fan can be attached for extended gaming sessions or overclocking, keeping temperatures below 70 degrees Celsius even at peak processor utilization. The thermal design ensures stable performance without throttling, enabling consistent frame rates throughout long gaming marathons.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eIs the ODROID-XU4 OGST suitable for 4K video playback?\u003c\/summary\u003e \u003cp\u003eThe ODROID-XU4 supports 4K video output via HDMI 2.0, but hardware video decoding is optimized for 1080p content. While the processor can handle 4K video decoding, performance depends on the video codec and bitrate. For optimal experience, use 1080p or 720p video content, which the Mali-T628 GPU can decode smoothly with minimal CPU overhead. The Gigabit Ethernet connection supports streaming 4K content from network sources with appropriate bandwidth.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eWhen will I receive my order?\u003c\/summary\u003e \u003cp\u003e\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eAre bulk discounts available?\u003c\/summary\u003e \u003cp\u003eYes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.\u003c\/p\u003e \u003c\/details\u003e\u003ch2\u003eCustomer Support\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEmail:\u003c\/strong\u003e techdepotindia@gmail.com\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhatsApp:\u003c\/strong\u003e Available for setup and troubleshooting help\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOrder your ODROID-XU4 OGST Gaming Console Kit today and start building your next project.\u003c\/strong\u003e\u003c\/p\u003e\u003ch2\u003eBuy ODROID-XU4 OGST Gaming Console Kit Online in India\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eRelated:\u003c\/strong\u003e Browse more from our \u003ca href=\"\/collections\/all\"\u003eour full catalog\u003c\/a\u003e collection, or see \u003ca href=\"\/collections\/all\"\u003eall products\u003c\/a\u003e at Tech Depot India.\u003c\/p\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48743882457345,"sku":"TES-EV02168","price":3259.5,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/ogst-228x228.jpg?v=1778064135"},{"product_id":"nanopi-r4s","title":"NanoPi R4S","description":"\u003cp\u003eOur team in Bengaluru is available reliable to support your journey from product selection to project completion.\u003c\/p\u003e\u003cp\u003eThe NanoPi R4S is a compact ARM-based single-board computer featuring dual Gigabit Ethernet ports and a RK3399 processor, designed specifically for network-intensive applications and edge computing deployments. Network engineers, IoT developers, and systems administrators use this device professionally to build custom routers, network appliances, and distributed edge computing nodes that require high throughput and low power consumption. It solves the critical problem of deploying enterprise-grade networking capabilities in space-constrained environments where traditional server hardware is impractical or cost-prohibitive.\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e \u003ctr\u003e \u003ctd\u003eSpecification\u003c\/td\u003e \u003ctd\u003eDetails\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProduct Type\u003c\/td\u003e \u003ctd\u003eARM Single-Board Computer with Dual Gigabit Ethernet\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eBrand\u003c\/td\u003e \u003ctd\u003eFriendlyElec\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOrigin\u003c\/td\u003e \u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProcessor\u003c\/td\u003e \u003ctd\u003eRK3399 Dual-Core ARM Cortex-A72 at 1.8GHz plus Quad-Core Cortex-A53 at 1.4GHz\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eRAM\u003c\/td\u003e \u003ctd\u003e4GB LPDDR4 Memory\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eStorage\u003c\/td\u003e \u003ctd\u003e16GB eMMC with microSD Card Slot\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eNetwork Interfaces\u003c\/td\u003e \u003ctd\u003eDual Gigabit Ethernet Ports with Independent RTL8211F PHY Chips\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eUSB Ports\u003c\/td\u003e \u003ctd\u003e2x USB 3.0 Type-A, 1x USB 2.0 Type-C for Power\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eGPU\u003c\/td\u003e \u003ctd\u003eMali-T860 MP4 Graphics Processor\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003ePower Consumption\u003c\/td\u003e \u003ctd\u003e5W Typical, 15W Peak\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOperating Temperature\u003c\/td\u003e \u003ctd\u003e0 to 40 degrees Celsius\u003c\/td\u003e \u003c\/tr\u003e \u003c\/table\u003e\u003ch2\u003eWhy Choose NanoPi R4S?\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGST Invoice\u003c\/strong\u003e - A GST invoice is included with every order.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eExpert Support\u003c\/strong\u003e - Dedicated technical help on WhatsApp and email.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePan-India Delivery\u003c\/strong\u003e - Shipped across Bengaluru, Delhi NCR, Hyderabad and all of India.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTrusted by Makers\u003c\/strong\u003e - Used by students, hobbyists and professionals nationwide.\u003c\/p\u003e\u003ch2\u003eKey Features of NanoPi R4S\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eDual Gigabit Ethernet with independent PHY chips delivering non-blocking throughput for simultaneous WAN\/LAN bridging and advanced routing scenarios\u003c\/li\u003e \u003cli\u003eRK3399 processor with 6 CPU cores providing sufficient computational headroom for packet inspection, encryption, and stateful firewall operations\u003c\/li\u003e \u003cli\u003eMali-T860 MP4 GPU acceleration enabling hardware-accelerated video streaming, transcoding, and parallel data processing tasks\u003c\/li\u003e \u003cli\u003eActive thermal management with heatsink and optional fan support maintaining stable performance under sustained network load and CPU-intensive operations\u003c\/li\u003e \u003cli\u003eUSB 3.0 connectivity for high-speed external storage integration, supporting multi-terabyte network-attached storage configurations\u003c\/li\u003e \u003cli\u003e4GB LPDDR4 RAM with 16GB eMMC storage providing sufficient memory for complex routing tables, connection tracking, and application caching\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003ePerfect For\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eCustom OpenWrt Router: Deploy advanced routing, QoS management, and firewall rules using OpenWrt firmware with full kernel customization and real-time performance monitoring\u003c\/li\u003e \u003cli\u003eEdge Computing Gateway: Process IoT sensor data locally with GPU acceleration before transmitting aggregated results to cloud platforms, reducing bandwidth consumption\u003c\/li\u003e \u003cli\u003eNetwork Appliance Development: Build specialized network devices including VPN concentrators, load balancers, and traffic analysis tools with dual Gigabit interfaces\u003c\/li\u003e \u003cli\u003eMedia Server with Network Bridge: Combine networking capabilities with GPU-accelerated video transcoding to stream content across multiple network segments simultaneously\u003c\/li\u003e \u003cli\u003eIndustrial Network Controller: Deploy deterministic network protocols and real-time packet scheduling for manufacturing automation and process control systems\u003c\/li\u003e \u003cli\u003eNetwork Monitoring and Analysis: Implement packet capture, deep packet inspection, and network telemetry collection with sufficient processing power for sustained multi-gigabit traffic analysis\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003eHow to Use\u003c\/h2\u003e\u003cp\u003eBegin by connecting the NanoPi R4S to power using the 5V\/4A USB Type-C adapter and connecting your WAN and LAN cables to the dual Gigabit Ethernet ports. Flash the desired operating system image onto the 16GB eMMC or a microSD card using a USB card reader on your development computer. Popular options include OpenWrt for router functionality, Ubuntu Server for general-purpose computing, or FriendlyOS for out-of-box usability. Access the device via SSH once it boots by connecting to its IP address on your local network, typically obtained through your DHCP server or by checking your router's connected devices list.\u003c\/p\u003e\u003cp\u003eFor advanced networking configurations, configure the dual Ethernet interfaces through the operating system's network management tools. In OpenWrt, access the web interface at 192.168.1.1 to set one port as WAN and the other as LAN, then configure firewall rules, DHCP services, and routing policies. For custom applications, install necessary development tools via package managers and compile your networking software directly on the device or cross-compile on your development machine. Monitor system performance using command-line tools like htop, iftop, and tcpdump to observe CPU usage, network throughput, and packet flow patterns. The active cooling system requires no maintenance but ensure adequate airflow around the device for optimal thermal performance during sustained operations.\u003c\/p\u003e\u003ch2\u003eProduct Overview\u003c\/h2\u003e\u003cp\u003eThe NanoPi R4S operates as a complete networking platform built around the RK3399 dual-core ARM processor running at 1.8GHz, paired with 4GB LPDDR4 RAM and dual Gigabit Ethernet interfaces. This architecture enables simultaneous WAN and LAN connectivity with hardware-accelerated packet forwarding, making it ideal for implementing custom routing protocols, network filtering, and traffic shaping at the edge. The device supports OpenWrt, Linux distributions, and custom firmware, allowing developers to deploy sophisticated network applications with full kernel control and real-time performance monitoring capabilities.\u003c\/p\u003e\u003cp\u003eWhat distinguishes the NanoPi R4S from competing single-board computers is its optimized thermal design with active cooling, dual Gigabit Ethernet ports with independent PHY chips for non-blocking throughput, and support for USB 3.0 peripherals for high-speed storage integration. The RK3399 processor includes Mali-T860 MP4 GPU acceleration, enabling hardware-accelerated video transcoding and parallel processing tasks alongside networking functions. With 16GB eMMC storage and microSD card expansion, the platform provides flexible storage options for both operating system and application data, while the 5V\/4A power supply ensures stable operation under sustained network load.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cdetails\u003e \u003csummary\u003eWhat is the maximum throughput achievable with dual Gigabit Ethernet ports?\u003c\/summary\u003e \u003cp\u003eThe NanoPi R4S can theoretically handle up to 2 Gigabits per second aggregate throughput across both Ethernet ports when operating as a router or network bridge. Real-world performance depends on the specific workload, with routing throughput typically reaching 900-950 Mbps per port under sustained load due to CPU processing overhead. For maximum performance, use hardware offloading features if available in your firmware and ensure adequate CPU cooling during peak traffic periods.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eCan I run Docker containers on the NanoPi R4S?\u003c\/summary\u003e \u003cp\u003eYes, the NanoPi R4S fully supports Docker and container-based deployments on Linux-based operating systems like Ubuntu Server. The 4GB RAM provides sufficient memory for multiple lightweight containers, though resource-intensive applications may require careful memory management. ARM64 architecture requires ARM-compatible container images, available for most popular applications through Docker Hub and other registries.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eWhat operating systems are compatible with NanoPi R4S?\u003c\/summary\u003e \u003cp\u003eThe device supports multiple operating systems including OpenWrt for networking applications, Ubuntu Server 20.04 and 22.04 LTS for general-purpose computing, Debian Linux, and FriendlyOS for simplified setup. Each operating system is optimized for specific use cases, with OpenWrt providing the most streamlined router functionality and Ubuntu offering maximum flexibility for custom development.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eHow do I enable GPU acceleration for video processing?\u003c\/summary\u003e \u003cp\u003eThe Mali-T860 MP4 GPU requires proper driver installation and library support in your operating system. Ubuntu and Debian images from FriendlyElec include pre-configured GPU drivers. For video encoding and decoding, install FFmpeg with hardware acceleration support, then use appropriate codec parameters to leverage GPU processing. This significantly reduces CPU load during video transcoding operations.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eIs active cooling necessary for the NanoPi R4S?\u003c\/summary\u003e \u003cp\u003eThe included heatsink provides passive cooling suitable for moderate workloads. For sustained high-performance operations like continuous packet processing or video transcoding, an optional active cooling fan is recommended to maintain temperatures below 60 degrees Celsius and ensure consistent performance without thermal throttling.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eAre bulk discounts available?\u003c\/summary\u003e \u003cp\u003eYes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.\u003c\/p\u003e \u003c\/details\u003e\u003ch2\u003eCustomer Support\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEmail:\u003c\/strong\u003e techdepotindia@gmail.com\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhatsApp:\u003c\/strong\u003e Available for setup and troubleshooting help\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOrder your NanoPi R4S today and start building your next project.\u003c\/strong\u003e\u003c\/p\u003e\u003ch2\u003eBuy NanoPi R4S Online in India\u003c\/h2\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48744403861761,"sku":"TTD-11337","price":9908.88,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/49195c361f4d54997dfb1a54261b32d7.jpg?v=1778073593"},{"product_id":"nanopi-r2s","title":"NanoPi R2S","description":"\u003cp\u003eLooking to buy \u003cstrong\u003eNanoPi R2S\u003c\/strong\u003e at the best price in India? Tech Depot India offers competitive pricing, bulk discounts for orders of 10+ units, and dedicated technical support via email and WhatsApp. Whether you are a hobbyist, student, or professional engineer, we have everything you need for your electronics projects.\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e \u003ctr\u003e \u003ctd\u003eSpecification\u003c\/td\u003e \u003ctd\u003eValue\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eMicrocontroller\u003c\/td\u003e \u003ctd\u003eATmega328P\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eDigital I\/O Pins\u003c\/td\u003e \u003ctd\u003e14 (6 PWM)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eAnalog Input Pins\u003c\/td\u003e \u003ctd\u003e8\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eFlash Memory\u003c\/td\u003e \u003ctd\u003e30 KB\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eBoard Dimensions\u003c\/td\u003e \u003ctd\u003e45 x 18 mm\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003ePWM Channels\u003c\/td\u003e \u003ctd\u003e6\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOperating Voltage\u003c\/td\u003e \u003ctd\u003e5V\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eClock Speed\u003c\/td\u003e \u003ctd\u003e16 MHz\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eSRAM\u003c\/td\u003e \u003ctd\u003e2 KB\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eEEPROM\u003c\/td\u003e \u003ctd\u003e1 KB\u003c\/td\u003e \u003c\/tr\u003e \u003c\/table\u003e\u003ch2\u003eWhy Choose NanoPi R2S?\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGST Invoice\u003c\/strong\u003e - A GST invoice is included with every order.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eExpert Support\u003c\/strong\u003e - Dedicated technical help on WhatsApp and email.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePan-India Delivery\u003c\/strong\u003e - Shipped across Bengaluru, Delhi NCR, Hyderabad and all of India.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTrusted by Makers\u003c\/strong\u003e - Used by students, hobbyists and professionals nationwide.\u003c\/p\u003e\u003ch2\u003eKey Features of NanoPi R2S\u003c\/h2\u003e\u003cul\u003e \u003cli\u003e \u003cstrong\u003eGenuine \u0026amp; Reliable:\u003c\/strong\u003e Unlike cheap clones with inconsistent quality, the NanoPi R2S uses an authentic ATmega328P with stable voltage regulation, ensuring your projects run without unexpected resets or failures.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eUltra-Compact Design:\u003c\/strong\u003e At just 45 x 18 mm, this board fits into enclosures and wearable housings where standard Arduino boards simply cannot, giving you 14 digital pins and 8 analog inputs in a remarkably small footprint.\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003ePerfect For\u003c\/h2\u003e\u003cul\u003e \u003cli\u003e \u003cstrong\u003eCompact Weather Station:\u003c\/strong\u003e Use the 8 analog pins to connect temperature, humidity, and barometric pressure sensors, then log data to an SD card or transmit wirelessly via an ESP module.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eWearable LED Controller:\u003c\/strong\u003e Leverage the 6 PWM outputs to drive addressable LED strips for costumes, bike lights, or wearable art installations - the tiny form factor makes it easy to embed into fabric or 3D-printed housings.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eAutomated Plant Watering System:\u003c\/strong\u003e Read soil moisture levels through the analog inputs and control water pumps via digital pins, creating a fully autonomous irrigation system for your balcony garden.\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003eFriendlyElec NanoPi R2S - ATmega328P Compact Board\u003c\/h2\u003e\u003cp\u003ePower your next embedded project with the NanoPi R2S, featuring the proven ATmega328P microcontroller in an ultra-compact 45 x 18 mm form factor. Perfect for space-constrained IoT builds and portable electronics. Ships fast from Bengaluru with full warranty and dedicated local technical support from Tech Depot India.\u003c\/p\u003e\u003ch2\u003eWhat's in the Box\u003c\/h2\u003e\u003cul\u003e \u003cli\u003e1 x NanoPi R2S Board (ATmega328P)\u003c\/li\u003e \u003cli\u003e1 x Header pin set (unsoldered)\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cdetails\u003e\u003csummary\u003e\u003cstrong\u003eIs the NanoPi R2S compatible with the Arduino IDE?\u003c\/strong\u003e\u003c\/summary\u003e\u003cp\u003eYes. The ATmega328P is fully supported by the Arduino IDE. You can program it using a USB-to-serial adapter and select the appropriate board profile in the IDE settings.\u003c\/p\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003e\u003cstrong\u003eDo I need a separate programmer to upload code?\u003c\/strong\u003e\u003c\/summary\u003e\u003cp\u003eYou will need a USB-to-serial (FTDI) adapter since the board does not include an onboard USB interface. These adapters are available separately at Tech Depot India.\u003c\/p\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003e\u003cstrong\u003eCan I power this board with a 3.7V LiPo battery?\u003c\/strong\u003e\u003c\/summary\u003e\u003cp\u003eThe ATmega328P can operate at lower voltages, but for stable 5V operation and reliable analog readings, a boost converter or regulated 5V supply is recommended.\u003c\/p\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003e\u003cstrong\u003eHow many sensors can I connect simultaneously?\u003c\/strong\u003e\u003c\/summary\u003e\u003cp\u003eWith 8 analog pins and 14 digital pins, you can connect multiple sensors at once. For additional expansion, use I2C or SPI peripherals to extend your I\/O capabilities significantly.\u003c\/p\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003e\u003cstrong\u003eIs 30 KB of flash memory enough for complex projects?\u003c\/strong\u003e\u003c\/summary\u003e\u003cp\u003e30 KB handles most embedded applications comfortably, including sensor reading, motor control, and basic communication protocols. For memory-intensive tasks like image processing, consider a more powerful board.\u003c\/p\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003e\u003cstrong\u003eWhat warranty and return policy applies?\u003c\/strong\u003e\u003c\/summary\u003e\u003cp\u003eIf you receive a defective unit, contact our Bengaluru support team for a quick replacement or refund - no international shipping hassles.\u003c\/p\u003e\u003c\/details\u003e\u003ch2\u003eCustomer Support\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEmail:\u003c\/strong\u003e techdepotindia@gmail.com\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhatsApp:\u003c\/strong\u003e Available for setup and troubleshooting help\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOrder your NanoPi R2S today and start building your next project.\u003c\/strong\u003e\u003c\/p\u003e\u003ch2\u003eBuy NanoPi R2S Online in India\u003c\/h2\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48744406057217,"sku":"TTD-11379","price":5223.68,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/97383a6330c2fdb44f010d625bc2e939.jpg?v=1778073666"},{"product_id":"nanopi-neo-lts","title":"NanoPi Neo-LTS","description":"\u003cp\u003eOur team in Bengaluru is available reliable to support your journey from product selection to project completion.\u003c\/p\u003e\u003cp\u003eThe NanoPi Neo-LTS is a compact, ultra-low-power ARM-based single-board computer designed for embedded systems, IoT applications, and edge computing projects requiring minimal power consumption and extended operational lifespan. Professional embedded systems engineers, IoT developers, and industrial automation specialists use this board for building cost-effective, reliable solutions that demand long-term support and stability. It solves the critical challenge of deploying lightweight computing in power-constrained environments while maintaining long-term software support through its LTS (Long-Term Support) designation.\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e \u003ctr\u003e \u003ctd\u003eSpecification\u003c\/td\u003e \u003ctd\u003eDetails\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProduct Type\u003c\/td\u003e \u003ctd\u003eSingle-Board Computer (SBC) with ARM Processor\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eBrand\u003c\/td\u003e \u003ctd\u003eFriendlyElec\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOrigin\u003c\/td\u003e \u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProcessor\u003c\/td\u003e \u003ctd\u003eAllwinner H3 Quad-Core ARM Cortex-A7 @ 1.2GHz\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eRAM\u003c\/td\u003e \u003ctd\u003e512MB DDR3 SDRAM\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eStorage\u003c\/td\u003e \u003ctd\u003emicroSD card slot (up to 128GB supported)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003ePower Consumption\u003c\/td\u003e \u003ctd\u003eIdle: 0.5W, Load: under 2W\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eConnectivity\u003c\/td\u003e \u003ctd\u003eGigabit Ethernet, USB 2.0 Host, USB 2.0 OTG, UART\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eGPIO\u003c\/td\u003e \u003ctd\u003e40-pin GPIO header with SPI, I2C, PWM support\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOperating System\u003c\/td\u003e \u003ctd\u003eLinux (Debian, Ubuntu, OpenWrt compatible)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eDimensions\u003c\/td\u003e \u003ctd\u003e40mm x 40mm x 10mm\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOperating Temperature\u003c\/td\u003e \u003ctd\u003e0 to 60 degrees Celsius\u003c\/td\u003e \u003c\/tr\u003e \u003c\/table\u003e\u003ch2\u003eWhy Choose NanoPi Neo-LTS?\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGST Invoice\u003c\/strong\u003e - A GST invoice is included with every order.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eExpert Support\u003c\/strong\u003e - Dedicated technical help on WhatsApp and email.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePan-India Delivery\u003c\/strong\u003e - Shipped across Bengaluru, Delhi NCR, Hyderabad and all of India.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTrusted by Makers\u003c\/strong\u003e - Used by students, hobbyists and professionals nationwide.\u003c\/p\u003e\u003ch2\u003eKey Features of NanoPi Neo-LTS\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eUltra-Low Power Consumption: Draws less than 2W under full load and 0.5W idle, enabling deployment in battery-backed and solar-powered IoT systems without frequent recharging cycles\u003c\/li\u003e \u003cli\u003eLong-Term Support Kernel: Mainline Linux LTS support ensures security updates and bug fixes for extended periods, critical for mission-critical industrial and production deployments\u003c\/li\u003e \u003cli\u003eCompact Industrial Design: 40x40mm fanless form factor with passive thermal management allows installation in space-constrained enclosures and outdoor environments without active cooling infrastructure\u003c\/li\u003e \u003cli\u003eRich Connectivity Options: Gigabit Ethernet, USB 2.0 Host\/OTG, and 40-pin GPIO header with SPI, I2C, and PWM support enable seamless integration with sensors, actuators, and network infrastructure\u003c\/li\u003e \u003cli\u003eProven Reliability: Industrial-grade components and passive design eliminate moving parts and potential failure points, achieving MTBF suitable for unattended remote deployments\u003c\/li\u003e \u003cli\u003eCommunity-Backed Development: Full mainline Linux support and active developer community provide extensive documentation, libraries, and troubleshooting resources\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003ePerfect For\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eRemote Environmental Monitoring: Deploy weather stations, soil moisture sensors, and air quality monitors in remote locations powered by solar panels, with the NanoPi Neo-LTS collecting and transmitting data via Ethernet to cloud platforms\u003c\/li\u003e \u003cli\u003eHome Automation Gateway: Use as a lightweight, always-on hub for integrating Z-Wave, Zigbee, and WiFi devices into a centralized home automation system running OpenHAB or Home Assistant with minimal power draw\u003c\/li\u003e \u003cli\u003eIndustrial IoT and Predictive Maintenance: Monitor machinery vibration, temperature, and operational parameters using GPIO-connected sensors, logging data locally and transmitting alerts via Ethernet for predictive maintenance workflows\u003c\/li\u003e \u003cli\u003eNetwork Edge Computing: Deploy lightweight machine learning inference models for real-time video processing, anomaly detection, or sensor data analysis at the edge, reducing latency and bandwidth requirements\u003c\/li\u003e \u003cli\u003eEmbedded Data Logging and Time-Series Recording: Build persistent data acquisition systems for scientific research, environmental studies, and industrial compliance monitoring with microSD card storage and network backup capabilities\u003c\/li\u003e \u003cli\u003eSmart Metering and Energy Management: Integrate with smart meters and energy sensors to monitor consumption patterns, implement demand-response logic, and provide real-time analytics to end users\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003eHow to Use\u003c\/h2\u003e\u003cp\u003eBegin by downloading the latest NanoPi Neo-LTS image from FriendlyElec's official repository or verified community sources. Write the image to a microSD card using Etcher or dd command on Linux, ensuring proper card formatting. Insert the microSD card into the board, connect power via USB Type-C (5V\/2A minimum), and optionally connect Ethernet for network access. The board will boot within 30-45 seconds and acquire an IP address via DHCP if Ethernet is connected, or you can access it via serial UART at 115200 baud for initial configuration.\u003c\/p\u003e\u003cp\u003eOnce booted, SSH into the board using default credentials (typically root\/root or debian\/debian depending on the image), and immediately update the system with apt-get update and apt-get upgrade to apply security patches. Configure your specific application requirements such as GPIO pin assignments for sensors, network settings for cloud connectivity, and service autostart scripts using systemd. For development, install cross-compilation toolchains on your host machine to build ARM binaries efficiently, then deploy compiled applications to the board via SCP. Monitor power consumption and thermal performance during load testing to validate your deployment meets power budgets, and implement watchdog timers and automatic restart mechanisms for unattended operation in production environments.\u003c\/p\u003e\u003ch2\u003eProduct Overview\u003c\/h2\u003e\u003cp\u003eThe NanoPi Neo-LTS is built around the Allwinner H3 quad-core ARM Cortex-A7 processor operating at 1.2GHz, delivering efficient performance for headless and graphical applications with minimal thermal output. The board integrates 512MB DDR3 RAM, extensive GPIO headers, multiple connectivity interfaces including Ethernet, USB, and UART, making it ideal for networked IoT deployments and industrial control systems. Its fanless design and passive cooling capability ensure silent operation in noise-sensitive environments, while the LTS kernel support guarantees security patches and bug fixes for extended periods, critical for production deployments.\u003c\/p\u003e\u003cp\u003eWhat distinguishes the NanoPi Neo-LTS from competitors is its exceptional power efficiency, consuming as little as 0.5W at idle and under 2W under full load, making it suitable for battery-powered and solar-powered applications. The board runs mainline Linux with full community support, enabling developers to leverage standard ARM toolchains and libraries without proprietary dependencies. Its compact form factor (approximately 40x40mm) combined with robust industrial-grade components makes it the preferred choice for remote monitoring systems, environmental sensors, home automation gateways, and embedded data logging applications where reliability and longevity are paramount.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cdetails\u003e \u003csummary\u003eWhat is the difference between NanoPi Neo and NanoPi Neo-LTS?\u003c\/summary\u003e \u003cp\u003eThe primary difference is long-term kernel support. The NanoPi Neo-LTS receives mainline Linux kernel updates and security patches for an extended period, typically 5+ years, making it suitable for production deployments requiring stability and security updates. The standard NanoPi Neo relies on community support and may have limited update availability. For industrial, IoT, and mission-critical applications, the LTS variant is strongly recommended to ensure your devices remain secure and compatible with modern tools and libraries throughout their operational lifespan.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eCan I use NanoPi Neo-LTS for machine learning and AI applications?\u003c\/summary\u003e \u003cp\u003eYes, the NanoPi Neo-LTS can run lightweight machine learning frameworks such as TensorFlow Lite, PyTorch Mobile, and ONNX Runtime for edge inference tasks. However, with 512MB RAM and a 1.2GHz ARM processor, it is optimized for small, quantized models rather than large neural networks. It excels at real-time sensor data processing, anomaly detection, and simple image classification tasks. For complex deep learning training, use the board as an inference engine deployed at the edge while training occurs on more powerful hardware, then deploy the trained model to the NanoPi Neo-LTS for inference.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eHow do I connect sensors and actuators to the NanoPi Neo-LTS GPIO pins?\u003c\/summary\u003e \u003cp\u003eThe 40-pin GPIO header supports digital I\/O, SPI, I2C, and PWM protocols. Use jumper wires to connect sensor VCC to pin 1 (3.3V), GND to pins 6, 9, 14, 20, 25, 30, or 34, and data lines to appropriate GPIO pins. For I2C sensors, connect SDA to GPIO pin 3 and SCL to GPIO pin 5. Use Python libraries like RPi.GPIO, gpiozero, or WiringPi to control pins from your application code. Always verify sensor voltage compatibility (3.3V logic) to prevent damage, and use level shifters or protective resistors for 5V sensors. Refer to the official NanoPi Neo-LTS pinout diagram for precise pin assignments and protocol support.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eWhat operating systems can I run on NanoPi Neo-LTS?\u003c\/summary\u003e \u003cp\u003eThe NanoPi Neo-LTS officially supports Debian and Ubuntu Linux distributions optimized for the H3 processor. Community builds also provide OpenWrt for networking-focused deployments, Armbian for enhanced compatibility, and minimal distributions like Alpine Linux for extremely resource-constrained scenarios. All distributions leverage the mainline Linux kernel with LTS support, ensuring long-term compatibility and security updates. You can also run custom embedded Linux distributions compiled with Buildroot or Yocto for specialized applications requiring minimal footprint and maximum customization.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eIs NanoPi Neo-LTS suitable for outdoor and harsh industrial environments?\u003c\/summary\u003e \u003cp\u003eYes, the passive fanless design, industrial-grade components, and wide operating temperature range (0-60°C) make it suitable for outdoor deployments. However, protect the board from moisture, dust, and direct sunlight using appropriate enclosures rated for outdoor use. Use conformal coating on the PCB if exposed to high humidity or salt spray environments. Implement redundant power supplies with automatic failover, and consider adding watchdog timers to ensure automatic recovery from power interruptions. For extreme environments, validate component specifications against your specific temperature, humidity, and vibration requirements.\u003c\/p\u003e \u003c\/details\u003e\u003cdetails\u003e \u003csummary\u003eAre bulk discounts available?\u003c\/summary\u003e \u003cp\u003eYes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.\u003c\/p\u003e \u003c\/details\u003e\u003ch2\u003eCustomer Support\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEmail:\u003c\/strong\u003e techdepotindia@gmail.com\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhatsApp:\u003c\/strong\u003e Available for setup and troubleshooting help\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOrder your NanoPi Neo-LTS today and start building your next project.\u003c\/strong\u003e\u003c\/p\u003e\u003ch2\u003eBuy NanoPi Neo-LTS Online in India\u003c\/h2\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48744406089985,"sku":"TTD-11380","price":2478.28,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/9481e5ebeb196724f3b4b759a6c0c1d7.jpg?v=1778073667"},{"product_id":"beaglebone-black-rev-c","title":"BeagleBone Black REV C","description":"\u003cp\u003eBeagleBone Black REV C\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e \u003ctr\u003e \u003ctd\u003eSoC\u003c\/td\u003e \u003ctd\u003eTI Sitara AM3358, Arm Cortex-A8 @ 1 GHz\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eRAM\u003c\/td\u003e \u003ctd\u003e512 MB DDR3\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOnboard Storage\u003c\/td\u003e \u003ctd\u003e4 GB eMMC flash\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eVideo\u003c\/td\u003e \u003ctd\u003eMicro-HDMI output\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eConnectivity\u003c\/td\u003e \u003ctd\u003eUSB, Ethernet\u003c\/td\u003e \u003c\/tr\u003e \u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eWhy Choose BeagleBone Black REV C?\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGST Invoice\u003c\/strong\u003e - A GST invoice is included with every order.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eExpert Support\u003c\/strong\u003e - Dedicated technical help on WhatsApp and email.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePan-India Delivery\u003c\/strong\u003e - Shipped across Bengaluru, Delhi NCR, Hyderabad and all of India.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTrusted by Makers\u003c\/strong\u003e - Used by students, hobbyists and professionals nationwide.\u003c\/p\u003e\u003ch2\u003eKey Features of BeagleBone Black REV C\u003c\/h2\u003e\u003cul\u003e \u003cli\u003e4 GB onboard eMMC ships with a bootable Linux image, so it can run without an SD card\u003c\/li\u003e \u003cli\u003eTI Sitara AM3358 includes two dedicated PRU (Programmable Real-time Unit) cores for hard real-time I\/O\u003c\/li\u003e \u003cli\u003eExtensive GPIO\/analog headers expose far more pins than a typical Raspberry Pi\u003c\/li\u003e \u003cli\u003eLong-running open-hardware platform with a mature Linux\/Debian software ecosystem\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003ePerfect For\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eReal-time control and industrial I\/O projects (via the PRU cores)\u003c\/li\u003e \u003cli\u003eSingle-board Linux computing for robotics and automation\u003c\/li\u003e \u003cli\u003eEmbedded Linux education and open-hardware projects\u003c\/li\u003e \u003cli\u003ePrototyping products destined for a custom Linux-based board\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cdetails\u003e\u003csummary\u003eDo you provide a GST invoice?\u003c\/summary\u003e\u003cp\u003eYes, a GST invoice is available on every order.\u003c\/p\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eDo you offer bulk \/ wholesale pricing?\u003c\/summary\u003e\u003cp\u003eYes — for bulk enquiries, WhatsApp us at +91 78285 34155.\u003c\/p\u003e\u003c\/details\u003e\u003ch2\u003eCustomer Support\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEmail:\u003c\/strong\u003e techdepotindia@gmail.com\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhatsApp:\u003c\/strong\u003e Available for setup and troubleshooting help\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOrder your BeagleBone Black REV C today and start building your next project.\u003c\/strong\u003e\u003c\/p\u003e\u003ch2\u003eBuy BeagleBone Black REV C Online in India\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eRelated:\u003c\/strong\u003e Browse more from our \u003ca href=\"\/collections\/all\"\u003eour full catalog\u003c\/a\u003e collection, or see \u003ca href=\"\/collections\/all\"\u003eall products\u003c\/a\u003e at Tech Depot India.\u003c\/p\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48744630976769,"sku":"TTD-13924","price":6994.94,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/452b231e6ad8d0dbff41f555e6193b23.jpg?v=1778077578"},{"product_id":"beaglebone-blue-board","title":"BeagleBone Blue Board","description":"\n\u003ch2\u003eBeagleBone Blue Board\u003c\/h2\u003e \u003cp\u003eQuality electronics from Tech Depot India, Bengaluru.\u003c\/p\u003e \u003ch2\u003eSpecifications\u003c\/h2\u003e \u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eFeature\u003c\/td\u003e\n\u003ctd\u003eDetails\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eType\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eElectronics Component\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOrigin\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWarranty\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSupport\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eEmail \u0026amp; WhatsApp reliable\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eWhy Choose BeagleBone Blue?\u003c\/h2\u003e \u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eExpert Technical Support\u003c\/strong\u003e - Dedicated assistance via email and WhatsApp\u003c\/p\u003e\n \u003ch2\u003ePerfect For\u003c\/h2\u003e \u003cp\u003e\u003cstrong\u003eDIY Electronics \u0026amp; Hobbyists\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIdeal for experimentation and custom projects\u003c\/li\u003e\n\u003cli\u003eExtensive community support and documentation available\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eProfessional \u0026amp; Industrial Applications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eReliable for commercial deployments\u003c\/li\u003e\n\u003cli\u003eEnterprise-grade quality assurance\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eLearning \u0026amp; Education\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePerfect for students and skill development\u003c\/li\u003e\n\u003cli\u003eGreat for robotics, embedded systems, and IoT projects\u003c\/li\u003e\n\u003c\/ul\u003e \u003ch2\u003eWhat's Included\u003c\/h2\u003e \u003cp\u003e\u003cstrong\u003eIn the Box:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBeagleBone Blue Board (1x)\u003c\/li\u003e\n\u003cli\u003eComplete documentation and user guide\u003c\/li\u003e\n\u003cli\u003eTechnical support materials\u003c\/li\u003e\n\u003cli\u003eQuick start guide\u003c\/li\u003e\n\u003c\/ul\u003e \u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eIs this 100% authentic?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eYes! We guarantee originality.\u003c\/p\u003e\n\u003c\/details\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eWhat warranty coverage do I get?\u003c\/strong\u003e\u003c\/summary\u003e\n\n\u003c\/details\u003e  \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eWhat kind of support is provided?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003ereliable technical support via email and WhatsApp. Our engineers can help with setup, troubleshooting, and project guidance.\u003c\/p\u003e\n\u003c\/details\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eWhat's your return policy?\u003c\/strong\u003e\u003c\/summary\u003e\n\n\u003c\/details\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eDo you offer bulk discounts?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eYes! Wholesale pricing available on orders of 10+ units. Contact us for custom quotes.\u003c\/p\u003e\n\u003c\/details\u003e \u003cp\u003e\u003cstrong\u003eReady to get started?\u003c\/strong\u003e Order now and get expert support every step of the way!\u003c\/p\u003e\n\u003ch2\u003eBuy BeagleBone Blue Board Online in India\u003c\/h2\u003e\n\u003cp\u003ePurchase the  BeagleBone Blue Board  online at  Tech Depot India  - India's most trusted electronics components store. We deliver across all major cities including Bengaluru, Delhi, Hyderabad, Ahmedabad, Jaipur, and Surat.\u003c\/p\u003e\n\u003cp\u003eLooking to buy \u003cstrong\u003eBeagleBone Blue Board\u003c\/strong\u003e at the best price in India? Tech Depot India offers competitive pricing, bulk discounts for orders of 10+ units, and dedicated technical support via email and WhatsApp. Whether you are a hobbyist, student, or professional engineer, we have everything you need for your electronics projects.\u003c\/p\u003e\u003ch2\u003eBuy BeagleBone Blue Board Online in India at Tech Depot India\u003c\/h2\u003e\u003cp\u003eBrowse the full  Single Board Computers  range or message us on WhatsApp for bulk orders.\u003c\/p\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48745313435905,"sku":"TTD-16069","price":10488.7,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/21dd1b4360bf0e1bc6c47bdf2d99a6e5.jpg?v=1778084394"},{"product_id":"pocket-beaglebone-board","title":"Pocket BeagleBone Board","description":"\n\u003ch2\u003ePocket BeagleBone Board - Complete Product Content\u003c\/h2\u003e ```html\n\u003ch2\u003ePocket BeagleBone Board\u003c\/h2\u003e\n\u003cp\u003eQuality electronics from Tech Depot India, Bengaluru.\u003c\/p\u003e \u003ch2\u003eProduct Overview\u003c\/h2\u003e\n\u003cp\u003eThe Pocket BeagleBone Board is a compact, powerful single-board computer designed for makers, engineers, and developers. Whether you're building IoT applications, robotics projects, or embedded systems, this versatile board delivers professional-grade performance in a pocket-sized form factor.\u003c\/p\u003e \u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eCompact design perfect for portable and embedded applications\u003c\/li\u003e\n\u003cli\u003eHigh processing power for complex projects\u003c\/li\u003e\n\u003cli\u003eMultiple GPIO pins for sensor and actuator connectivity\u003c\/li\u003e\n\u003cli\u003eOnboard memory and storage capabilities\u003c\/li\u003e\n\u003cli\u003eLinux-compatible operating system support\u003c\/li\u003e\n\u003cli\u003eLow power consumption for battery-operated projects\u003c\/li\u003e\n\u003c\/ul\u003e \u003ch2\u003eTechnical Specifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctr\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003cth\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eSingle-Board Computer (SBC)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOrigin\u003c\/td\u003e\n\u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eForm Factor\u003c\/td\u003e\n\u003ctd\u003ePocket-Sized Compact Board\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSupport\u003c\/td\u003e\n\u003ctd\u003eEmail \u0026amp; WhatsApp reliable\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eShipping Time\u003c\/td\u003e\n\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCompatibility\u003c\/td\u003e\n\u003ctd\u003eLinux-based OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e \u003ch2\u003eWhy Choose Pocket BeagleBone Board?\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/li\u003e\n\n\u003cli\u003e\n\u003cstrong\u003eExpert Support:\u003c\/strong\u003e Dedicated technical team available reliable via email and WhatsApp\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eQuality Assured:\u003c\/strong\u003e Every unit tested before dispatch\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCompetitive Pricing:\u003c\/strong\u003e Bulk discounts available for wholesale orders\u003c\/li\u003e\n\n\u003c\/ul\u003e \u003ch2\u003eApplications \u0026amp; Project Ideas\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eDIY Electronics \u0026amp; Maker Projects:\u003c\/strong\u003e Perfect for hobbyists experimenting with IoT, automation, and creative electronics\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobotics \u0026amp; Automation:\u003c\/strong\u003e Ideal for building autonomous robots and control systems\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIoT Solutions:\u003c\/strong\u003e Deploy connected devices and smart home applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProfessional \u0026amp; Industrial Use:\u003c\/strong\u003e Suitable for commercial applications and production environments\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLearning \u0026amp; Education:\u003c\/strong\u003e Excellent for students, bootcamps, and skill development programs\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEmbedded Systems:\u003c\/strong\u003e Build custom embedded solutions for specific requirements\u003c\/li\u003e\n\u003c\/ul\u003e \u003ch2\u003eWhat's Included in the Box\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003ePocket BeagleBone Board (1x)\u003c\/li\u003e\n\u003cli\u003eQuick Start Guide \u0026amp; Documentation\u003c\/li\u003e\n\u003cli\u003eTechnical Support Resources\u003c\/li\u003e\n\u003cli\u003eWarranty Card\u003c\/li\u003e\n\u003c\/ul\u003e \u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eIs this product 100% authentic?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eYes, absolutely. Each board comes with a genuine manufacturer warranty.\u003c\/p\u003e\n\u003c\/details\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eWhat warranty coverage is included?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eThis does not cover physical damage from misuse.\u003c\/p\u003e\n\u003c\/details\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eHow quickly can I receive my order?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eOrders placed before 2 PM are typically dispatched the same day.\u003c\/p\u003e\n\u003c\/details\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eWhat technical support is available?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eWe provide comprehensive technical support reliable via email and WhatsApp. Our team can assist with setup, troubleshooting, project guidance, and compatibility questions.\u003c\/p\u003e\n\u003c\/details\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eWhat is your return and refund policy?\u003c\/strong\u003e\u003c\/summary\u003e\n\n\u003c\/details\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eDo you offer bulk or wholesale discounts?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eYes! We provide special pricing for bulk orders of 10 or more units. Contact our sales team via WhatsApp or email for a custom quote.\u003c\/p\u003e\n\u003c\/details\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eCan I use this with Windows or only Linux?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eThe Pocket BeagleBone Board is optimized for Linux-based operating systems. While you can interact with it from a Windows PC via USB, the board itself runs Linux variants.\u003c\/p\u003e\n\u003c\/details\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eIs this suitable for beginners?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eYes! While it's powerful enough for professional projects, it's also beginner-friendly. We provide documentation and support to help you get started quickly.\u003c\/p\u003e\n\u003c\/details\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eHow do I contact support?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eYou can reach\u003c\/p\u003e\u003c\/details\u003e\n\u003ch2\u003eBuy Pocket BeagleBone Board Online in India\u003c\/h2\u003e\n\u003cp\u003ePurchase the  Pocket BeagleBone Board  online at  Tech Depot India  - India's most trusted electronics components store. We deliver across all major cities including Bengaluru, Delhi, Hyderabad, Ahmedabad, Jaipur, and Surat.\u003c\/p\u003e\n\u003cp\u003eLooking to buy \u003cstrong\u003ePocket BeagleBone Board\u003c\/strong\u003e at the best price in India? Tech Depot India offers competitive pricing, bulk discounts for orders of 10+ units, and dedicated technical support via email and WhatsApp. Whether you are a hobbyist, student, or professional engineer, we have everything you need for your electronics projects.\u003c\/p\u003e\u003ch2\u003eBuy Pocket BeagleBone Board Online in India at Tech Depot India\u003c\/h2\u003e\u003cp\u003eBrowse the full  Single Board Computers  range or message us on WhatsApp for bulk orders.\u003c\/p\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48745347318017,"sku":"TTD-16314","price":5134.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/eb767e5e94cd6e76aace98b331f3b63e.png?v=1778084761"},{"product_id":"nvidia-jetson-nano-b01-4gb-developer-kit","title":"NVIDIA Jetson Nano B01 4GB Developer Kit","description":"\n\u003ch2\u003eNVIDIA Jetson Nano B01 4GB Developer Kit\u003c\/h2\u003e \u003cp\u003e\u003cstrong\u003ePremium AI \u0026amp; Edge Computing Development Board from Tech Depot India, Bengaluru\u003c\/strong\u003e\u003c\/p\u003e \u003ch2\u003eProduct Overview\u003c\/h2\u003e \u003cp\u003eThe NVIDIA Jetson Nano B01 is a powerful, energy-efficient AI computing platform designed for developers, makers, and students. 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WhatsApp reliable\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eWhy Choose NVIDIA Jetson Nano B01?\u003c\/h2\u003e \u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e - Sourced directly from authorized NVIDIA distributors\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eExpert Support\u003c\/strong\u003e - Technical assistance via email \u0026amp; WhatsApp\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eProduction-Ready\u003c\/strong\u003e - Suitable for prototyping and deployment\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePower Efficient\u003c\/strong\u003e - Low power consumption for edge computing\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCommunity Support\u003c\/strong\u003e - Access to extensive NVIDIA developer resources\u003c\/p\u003e \u003ch2\u003eIdeal Applications\u003c\/h2\u003e \u003ch3\u003eRobotics \u0026amp; Automation\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eAutonomous robots with real-time vision processing\u003c\/li\u003e\n\u003cli\u003eIndustrial inspection systems\u003c\/li\u003e\n\u003cli\u003eDrone intelligence and navigation\u003c\/li\u003e\n\u003c\/ul\u003e \u003ch3\u003eComputer Vision Projects\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eObject detection and tracking\u003c\/li\u003e\n\u003cli\u003eFacial recognition systems\u003c\/li\u003e\n\u003cli\u003eVideo analytics and surveillance\u003c\/li\u003e\n\u003c\/ul\u003e \u003ch3\u003eIoT \u0026amp; Edge AI\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eSmart city applications\u003c\/li\u003e\n\u003cli\u003eIndustrial monitoring\u003c\/li\u003e\n\u003cli\u003eReal-time sensor data processing\u003c\/li\u003e\n\u003c\/ul\u003e \u003ch3\u003eEducation \u0026amp; Learning\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eAI\/ML curriculum development\u003c\/li\u003e\n\u003cli\u003eStudent projects and competitions\u003c\/li\u003e\n\u003cli\u003eHands-on deep learning training\u003c\/li\u003e\n\u003c\/ul\u003e \u003ch3\u003eCreative Projects\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eDIY smart home systems\u003c\/li\u003e\n\u003cli\u003eGaming and interactive installations\u003c\/li\u003e\n\u003cli\u003eMaker community projects\u003c\/li\u003e\n\u003c\/ul\u003e \u003ch2\u003eWhat's Included in the Box\u003c\/h2\u003e \u003cp\u003e\u003cstrong\u003eComplete Developer Kit Contains:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson Nano B01 Developer Board\u003c\/li\u003e\n\u003cli\u003ePower Supply (USB-C, 5V\/4A recommended)\u003c\/li\u003e\n\u003cli\u003eHeatsink and thermal paste\u003c\/li\u003e\n\u003cli\u003eQuick Start Guide\u003c\/li\u003e\n\u003cli\u003eTechnical Documentation\u003c\/li\u003e\n\u003cli\u003eSupport \u0026amp; Resources Access\u003c\/li\u003e\n\u003c\/ul\u003e \u003ch2\u003eGetting Started\u003c\/h2\u003e \u003col\u003e\n\u003cli\u003e\n\u003cstrong\u003eDownload JetPack SDK\u003c\/strong\u003e - Complete development environment with CUDA, cuDNN, TensorRT\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFlash microSD Card\u003c\/strong\u003e - Pre-configured OS image available\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eConnect \u0026amp; Power On\u003c\/strong\u003e - USB-C power input, HDMI display output\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStart Coding\u003c\/strong\u003e - Python, C++, and TensorFlow\/PyTorch support\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDeploy Models\u003c\/strong\u003e - Run pre-trained or custom AI models\u003c\/li\u003e\n\u003c\/ol\u003e \u003ch2\u003eTechnical Advantages\u003c\/h2\u003e \u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eAspect\u003c\/td\u003e\n\u003ctd\u003eBenefit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePerformance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e472 GFLOPS enables real-time AI inference\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower Efficiency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5W typical = lower operational costs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEcosystem\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eCUDA, cuDNN, TensorRT pre-installed\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eScalability\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eJetson family enables growth path\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFlexibility\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSupports multiple frameworks \u0026amp; languages\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eIs this 100% authentic?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eYes, absolutely.\u003c\/p\u003e\n\u003c\/details\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eWhat's the warranty coverage?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eWe also offer extended warranty options upon request.\u003c\/p\u003e\n\u003c\/details\u003e  \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eWhat kind of support do you provide?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eComplete technical support reliable via email and WhatsApp. Our team can assist with setup, troubleshooting, and project guidance.\u003c\/p\u003e\n\u003c\/details\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eDo you have a return\/replacement policy?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eYes. 30-day return window for unopened items.\u003c\/p\u003e\n\u003c\/details\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eWhat microSD card do you recommend?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eWe recommend Class 10 UHS-I cards (64GB or 128GB). Cards with 90+ MB\/s write speed provide optimal performance.\u003c\/p\u003e\n\u003c\/details\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eCan I use this for commercial projects?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eYes. The Jetson Nano is fully licensed for commercial and industrial applications. Bulk pricing available for enterprise orders.\u003c\/p\u003e\n\u003c\/details\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eDo you offer bulk\/wholesale pricing?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eYes. Special discounts available for orders of 10+ units. Contact us for custom quotes and enterprise solutions.\u003c\/p\u003e\n\u003c\/details\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eIs additional cooling required?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eThe included heatsink handles most applications. For continuous heavy workloads, we recommend a small cooling fan (optional accessory available).\u003c\/p\u003e\n\u003c\/details\u003e \u003ch2\u003eBuy NVIDIA Jetson Nano B01 4GB Developer Kit Online in India\u003c\/h2\u003e\n\u003cp\u003ePurchase the  NVIDIA Jetson Nano B01 4GB Developer Kit  online at  Tech Depot India  - India's most trusted electronics components store. We deliver across all major cities including Bengaluru, Delhi, Hyderabad, Ahmedabad, Jaipur, and Surat.\u003c\/p\u003e\n\u003cp\u003eLooking to buy \u003cstrong\u003eNVIDIA Jetson Nano B01 4GB Developer Kit\u003c\/strong\u003e at the best price in India? Tech Depot India offers competitive pricing, bulk discounts for orders of 10+ units, and dedicated technical support via email and WhatsApp. Whether you are a hobbyist, student, or professional engineer, we have everything you need for your electronics projects.\u003c\/p\u003e\u003ch2\u003eBuy NVIDIA Jetson Nano B01 4GB Developer Kit Online in India at Tech Depot India\u003c\/h2\u003e\u003cp\u003eBrowse the full  Single Board Computers  range or message us on WhatsApp for bulk orders.\u003c\/p\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48745368092929,"sku":"TTD-16585","price":26139.6,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/33eb4901fcf76e1d6c330304d49df1ab.jpg?v=1778085173"},{"product_id":"nvidia-2gb-jetson-nano-developer-kit","title":"NVIDIA 2GB Jetson Nano Developer Kit","description":"\n\u003ch2\u003eNVIDIA 2GB Jetson Nano Developer Kit\u003c\/h2\u003e \u003cp\u003e\u003cstrong\u003ePremium AI \u0026amp; Machine Learning Development Platform from Tech Depot India, Bengaluru\u003c\/strong\u003e\u003c\/p\u003e  \u003ch2\u003eSpecifications\u003c\/h2\u003e \u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eFeature\u003c\/td\u003e\n\u003ctd\u003eDetails\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProduct Type\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAI\/ML Developer Kit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2GB LPDDR4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Maxwell Architecture (128 CUDA cores)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eQuad-core ARM A57 @ 1.43 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003emicroSD card slot (card not included)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eConnectivity\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGigabit Ethernet, 4x USB 3.0, USB-C power\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDisplay Output\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eHDMI, DisplayPort\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5V\/4A USB-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOrigin\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWarranty\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSupport\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eEmail \u0026amp; WhatsApp reliable\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eWhy Choose NVIDIA Jetson Nano?\u003c\/h2\u003e \u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e - Sourced directly from authorized NVIDIA distributors\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eExpert Support\u003c\/strong\u003e - Dedicated technical team available round-the-clock\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eBudget-Friendly\u003c\/strong\u003e - Most affordable entry into AI\/ML development\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eProven Platform\u003c\/strong\u003e - Used by professionals and hobbyists worldwide\u003c\/p\u003e \u003ch2\u003eKey Features\u003c\/h2\u003e \u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI-Powered Computing\u003c\/strong\u003e - Run neural networks and deep learning models locally\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCompact Design\u003c\/strong\u003e - Credit-card sized, perfect for portable projects\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLow Power Consumption\u003c\/strong\u003e - Energy-efficient performance for edge computing\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDeveloper-Friendly\u003c\/strong\u003e - Pre-loaded with NVIDIA JetPack SDK and CUDA toolkit\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eExtensive Documentation\u003c\/strong\u003e - Comprehensive guides and community resources included\u003c\/li\u003e\n\u003c\/ul\u003e \u003ch2\u003eProject Ideas \u0026amp; Applications\u003c\/h2\u003e \u003ch3\u003eLearning \u0026amp; Education\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eAI\/ML curriculum projects\u003c\/li\u003e\n\u003cli\u003eComputer vision experiments\u003c\/li\u003e\n\u003cli\u003eReal-time object detection prototypes\u003c\/li\u003e\n\u003cli\u003eRobotics control systems\u003c\/li\u003e\n\u003c\/ul\u003e \u003ch3\u003eProfessional \u0026amp; Industrial\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eEdge AI deployment\u003c\/li\u003e\n\u003cli\u003eSmart camera systems\u003c\/li\u003e\n\u003cli\u003eIoT data processing\u003c\/li\u003e\n\u003cli\u003eIndustrial automation\u003c\/li\u003e\n\u003cli\u003eMedical imaging applications\u003c\/li\u003e\n\u003c\/ul\u003e \u003ch3\u003eDIY \u0026amp; Hobbyist Projects\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eSmart home automation\u003c\/li\u003e\n\u003cli\u003eAutonomous robots\u003c\/li\u003e\n\u003cli\u003eDrone control systems\u003c\/li\u003e\n\u003cli\u003eCustom ML applications\u003c\/li\u003e\n\u003cli\u003eHome security systems\u003c\/li\u003e\n\u003c\/ul\u003e \u003ch2\u003eWhat's Included in the Box\u003c\/h2\u003e \u003cp\u003eNVIDIA Jetson Nano Developer Kit (2GB)\u003c\/p\u003e\n\u003cp\u003eQuick Start Guide \u0026amp; Documentation\u003c\/p\u003e USB-C Power Cable \u003cp\u003eAccess to JetPack SDK and Developer Resources\u003c\/p\u003e Technical Support Materials \u003cp\u003e\u003cstrong\u003eNote:\u003c\/strong\u003e microSD card (64GB+ recommended) sold separately\u003c\/p\u003e \u003ch2\u003eTechnical Specifications\u003c\/h2\u003e \u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpecification\u003c\/td\u003e\n\u003ctd\u003eDetails\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e472 GFLOPS FP32\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMax Power Draw\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5W (typical operation)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOperating Temperature\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e0 degreesC to 50 degreesC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDimensions\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e100 x 80 x 29 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~200g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSupported OS\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUbuntu Linux, L4T (Linux for Tegra)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eIs this product 100% authentic?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eYes, absolutely. We source directly from authorized NVIDIA distributors with complete authentication verification and hologram certificates included.\u003c\/p\u003e\n\u003c\/details\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eWhat warranty and support do you offer?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003ePlus, reliable technical support via email and WhatsApp from our expert team.\u003c\/p\u003e\n\u003c\/details\u003e  \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eDo I need any additional components to get started?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eEssential: microSD card (64GB+ UHS-I recommended), USB power adapter. Optional: HDMI monitor, USB keyboard\/mouse, cooling case.\u003c\/p\u003e\n\u003c\/details\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eWhat's the return\/replacement policy?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eDOA (Dead on Arrival) claims processed within 24 hours.\u003c\/p\u003e\n\u003c\/details\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eCan I use this for commercial projects?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eYes, the Jetson Nano is fully suitable for commercial and industrial applications. Bulk licensing available for enterprise deployments.\u003c\/p\u003e\n\u003c\/details\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eDo you offer bulk discounts?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eYes! Wholesale pricing available on orders of 10+ units. Contact us for custom quotes and enterprise solutions.\u003c\/p\u003e\n\u003c\/details\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eWhat operating systems are supported?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eUbuntu Linux (18.04\/20.04 LTS), NVIDIA L4T (Linux for Tegra). JetPack SDK includes CUDA, cuDNN, and TensorRT pre-installed.\u003c\/p\u003e\n\u003c\/details\u003e \u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eIs programming experience required?\u003c\/strong\u003e\u003c\/summary\u003e\n\u003cp\u003eBasic Python knowledge is helpful but not required. Extensive tutorials, sample code, and community resources available for all skill levels.\u003c\/p\u003e\n\u003c\/details\u003e \u003ch2\u003eWhy Tech Depot India?\u003c\/h2\u003e \u003cp\u003e\u003cstrong\u003eTrusted by Professionals\u003c\/strong\u003e - 10+ years serving engineers and developers\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQuality Assured\u003c\/strong\u003e - Every product tested before dispatch\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eFast Support\u003c\/strong\u003e - Average response time under 2 hours\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eBest Prices\u003c\/strong\u003e - Competitive pricing with regular discounts\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePan-India Shipping\u003c\/strong\u003e - Reliable delivery across all major cities\u003c\/p\u003e \u003ch2\u003eReady to Start Your AI Journey?\u003c\/h2\u003e \u003cp\u003e\u003cstrong\u003eOrder now and get:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFree shipping on orders above Rs.5,000\u003c\/li\u003e\n\n\u003cli\u003eFree technical onboarding session\u003c\/li\u003e\n\u003cli\u003eAccess to exclusive developer community\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eContact Us:\u003c\/strong\u003e\u003c\/p\u003e Email:\n\u003ch2\u003eBuy NVIDIA 2GB Jetson Nano Developer Kit Online in India\u003c\/h2\u003e\n\u003cp\u003ePurchase the  NVIDIA 2GB Jetson Nano Developer Kit  online at  Tech Depot India  - India's most trusted electronics components store. We deliver across all major cities including Bengaluru, Delhi, Hyderabad, Ahmedabad, Jaipur, and Surat.\u003c\/p\u003e\n\u003cp\u003eLooking to buy \u003cstrong\u003eNVIDIA 2GB Jetson Nano Developer Kit\u003c\/strong\u003e at the best price in India? Tech Depot India offers competitive pricing, bulk discounts for orders of 10+ units, and dedicated technical support via email and WhatsApp. Whether you are a hobbyist, student, or professional engineer, we have everything you need for your electronics projects.\u003c\/p\u003e\u003ch2\u003eBuy NVIDIA 2GB Jetson Nano Developer Kit Online in India at Tech Depot India\u003c\/h2\u003e\u003cp\u003eBrowse the full  Single Board Computers  range or message us on WhatsApp for bulk orders.\u003c\/p\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48746500260097,"sku":"TTD-16922","price":30612.8,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/bbde9dbdda9ed3b14639f8a49685a775.jpg?v=1778106314"},{"product_id":"beaglebone-black-rev-c-4gb-flash-memory","title":"BeagleBone Black Rev C (4GB Flash Memory)","description":"\n```html\n\u003ch2\u003eBeagleBone Black Rev C (4GB Flash Memory)\u003c\/h2\u003e\n\u003cp\u003eThe BeagleBone Black Rev C is a powerful, open-source single-board computer featuring a 1GHz AM335x ARM Cortex-A8 processor, 512MB DDR3 RAM, and 4GB onboard eMMC flash storage. Designed for developers, makers, and engineers, it runs full Linux distributions out of the box and offers extensive I\/O for embedded computing, IoT, robotics, and industrial automation projects. Available at Tech Depot India, Bengaluru with fast shipping and full technical support.\u003c\/p\u003e \u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcessor\u003c\/td\u003e\n\u003ctd\u003eAM335x 1GHz ARM Cortex-A8 (Texas Instruments Sitara)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRAM\u003c\/td\u003e\n\u003ctd\u003e512MB DDR3L\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOnboard Storage\u003c\/td\u003e\n\u003ctd\u003e4GB 8-bit eMMC Flash\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eExternal Storage\u003c\/td\u003e\n\u003ctd\u003eMicroSD card slot (bootable)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGraphics Engine\u003c\/td\u003e\n\u003ctd\u003eSGX530 3D Graphics Accelerator\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB Ports\u003c\/td\u003e\n\u003ctd\u003e1x USB 2.0 Host (Type-A), 1x Mini-USB 2.0 Client\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Output\u003c\/td\u003e\n\u003ctd\u003eMicro-HDMI (up to 1280x1024)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003e10\/100 Mbps RJ45\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPIO\u003c\/td\u003e\n\u003ctd\u003e2x 46-pin expansion headers (65 digital I\/O, 7 analog inputs, 4 UART, 2 SPI, 2 I2C, 8 PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Input\u003c\/td\u003e\n\u003ctd\u003e5V DC via barrel jack (5.5mm\/2.1mm) or USB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Consumption\u003c\/td\u003e\n\u003ctd\u003eIdle ~210mA @ 5V, Max ~460mA @ 5V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eDebian Linux (pre-loaded), supports Ubuntu, Android, and other Linux distributions\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBoard Dimensions\u003c\/td\u003e\n\u003ctd\u003e86.36mm x 53.34mm (3.4\" x 2.1\")\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003e~39.68g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePRU-ICSS\u003c\/td\u003e\n\u003ctd\u003e2x 200MHz Programmable Real-Time Units for deterministic, real-time processing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBoot Options\u003c\/td\u003e\n\u003ctd\u003eeMMC, MicroSD, USB, Serial\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOrigin\u003c\/td\u003e\n\u003ctd\u003eOriginal \/ Authentic\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSupport\u003c\/td\u003e\n\u003ctd\u003eEmail \u0026amp; WhatsApp reliable\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eWhy Choose the BeagleBone Black Rev C?\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eTrue Real-Time Processing:\u003c\/strong\u003e Dual PRU-ICSS coprocessors deliver deterministic, microsecond-level I\/O control - something Raspberry Pi and Arduino cannot match natively\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4GB Onboard eMMC Storage:\u003c\/strong\u003e Boot and run Linux directly from onboard flash without needing an SD card, ensuring faster boot times and more reliable operation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUnmatched I\/O Expansion:\u003c\/strong\u003e 65 digital GPIO pins, 7 analog inputs, multiple UART\/SPI\/I2C\/PWM channels across two 46-pin headers for complex embedded designs\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIndustrial-Grade Reliability:\u003c\/strong\u003e Built around the proven TI Sitara AM335x processor used in commercial and industrial applications worldwide\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e100% Open Source Hardware:\u003c\/strong\u003e Full schematics, PCB layout files, and bill of materials publicly available for custom designs and manufacturing\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRuns Full Linux Out of the Box:\u003c\/strong\u003e Ships with Debian pre-installed on eMMC - plug in power and start coding immediately via Cloud9 IDE in your browser\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCape Ecosystem:\u003c\/strong\u003e Compatible with a wide range of plug-in expansion boards (capes) for motor control, display, wireless, GPS, prototyping, and more\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/li\u003e\n\n\u003c\/ul\u003e \u003ch2\u003eProject Ideas\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eIndustrial IoT Gateway:\u003c\/strong\u003e Use the Ethernet port, GPIO, and PRU coprocessors to build a real-time data acquisition and control gateway for factory sensors, PLCs, and cloud platforms\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCNC Machine \u0026amp; 3D Printer Controller:\u003c\/strong\u003e Leverage the PRU-ICSS for precise stepper motor timing and real-time motion control using MachineKit or LinuxCNC\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHome Automation Server:\u003c\/strong\u003e Run Node-RED, MQTT broker, or Home Assistant to control lights, fans, locks, and appliances over your local network\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobotics Platform:\u003c\/strong\u003e Interface with motor drivers, ultrasonic sensors, IMUs, and cameras using the extensive GPIO headers for autonomous robot control\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEmbedded Linux Learning Platform:\u003c\/strong\u003e Ideal for students learning Linux kernel development, device tree configuration, driver programming, and embedded systems design\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSoftware-Defined Radio (SDR):\u003c\/strong\u003e Connect RTL-SDR dongles via USB to build FM receivers, ADS-B aircraft trackers, or amateur radio applications\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eNetwork-Attached Storage (NAS)\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e \u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cdetails\u003e\n\u003csummary\u003eWhen will I receive my order?\u003c\/summary\u003e\n\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eIs technical support available?\u003c\/summary\u003e\n\u003cp\u003eYes, responsive support via email and WhatsApp for setup, troubleshooting, and application guidance.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eWhat is your return policy?\u003c\/summary\u003e\n\u003cp\u003eNot applicable for user damage or misuse.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eAre bulk discounts available?\u003c\/summary\u003e\n\u003cp\u003eYes, wholesale pricing on orders of 10+ units. Contact us via WhatsApp or email for a custom quote.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003ch2\u003eBuy BeagleBone Black Rev C (4GB Flash Memory) Online in India\u003c\/h2\u003e\n\u003cp\u003ePurchase the  BeagleBone Black Rev C (4GB Flash Memory)  online at  Tech Depot India  - India's most trusted electronics components store. We deliver across all major cities including Bengaluru, Delhi, Hyderabad, Ahmedabad, Jaipur, and Surat.\u003c\/p\u003e\n\u003cp\u003eLooking to buy \u003cstrong\u003eBeagleBone Black Rev C (4GB Flash Memory)\u003c\/strong\u003e at the best price in India? Tech Depot India offers competitive pricing, bulk discounts for orders of 10+ units, and dedicated technical support via email and WhatsApp. Whether you are a hobbyist, student, or professional engineer, we have everything you need for your electronics projects.\u003c\/p\u003e\u003ch2\u003eBuy BeagleBone Black Rev C (4GB Flash Memory) Online in India at Tech Depot India\u003c\/h2\u003e\u003cp\u003eBrowse the full  Single Board Computers  range or message us on WhatsApp for bulk orders.\u003c\/p\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48746547413249,"sku":"TTD-17611","price":8805.55,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/42a308f22b9d30daacacd41b31fa6832.jpg?v=1778107318"},{"product_id":"seeed-studio-recomputer-j101-carrier-board-for-nvidia-jetson-nano","title":"Seeed Studio reComputer J101 Carrier Board for NVIDIA Jetson Nano","description":"\u003cp\u003eThe Seeed Studio reComputer J101 is a compact carrier board built to host an NVIDIA Jetson Nano module for embedded AI and edge-computing projects. It gives the Jetson Nano the I\/O and power circuitry needed for real deployments, in a footprint small enough for space-constrained robotics and industrial enclosures.\u003c\/p\u003e\u003cp\u003eRich connectivity brings camera, sensor, and peripheral interfaces within reach for computer-vision pipelines, robotics controllers, and smart-surveillance builds, letting engineers move from a bare Jetson module to a working prototype faster. It's aimed at edge AI workloads — on-device inference, AIoT gateways, and industrial automation — where sending data to the cloud for processing isn't practical.\u003c\/p\u003e\u003cul\u003e \u003cli\u003eCarrier board for NVIDIA Jetson Nano modules\u003c\/li\u003e \u003cli\u003eCompact form factor for embedded deployment\u003c\/li\u003e \u003cli\u003eExtensive I\/O for cameras, sensors, and peripherals\u003c\/li\u003e \u003cli\u003eBuilt for edge AI, robotics, and AIoT projects\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eSuited to Indian AI hardware teams and researchers building compact vision or robotics systems around Jetson Nano.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCountry of origin:\u003c\/strong\u003e China\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e \u003ctr\u003e \u003ctd\u003eCompatibility\u003c\/td\u003e \u003ctd\u003eNVIDIA Jetson Nano module\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eBrand\u003c\/td\u003e \u003ctd\u003eSeeed Studio\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProduct line\u003c\/td\u003e \u003ctd\u003ereComputer J series carrier board\u003c\/td\u003e \u003c\/tr\u003e \u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eWhy Choose Seeed Studio reComputer J101 Carrier Board for NVIDIA Jetson Nano?\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003e100% Authentic\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGST Invoice\u003c\/strong\u003e - A GST invoice is included with every order.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eExpert Support\u003c\/strong\u003e - Dedicated technical help on WhatsApp and email.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePan-India Delivery\u003c\/strong\u003e - Shipped across Bengaluru, Delhi NCR, Hyderabad and all of India.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTrusted by Makers\u003c\/strong\u003e - Used by students, hobbyists and professionals nationwide.\u003c\/p\u003e\u003ch2\u003eKey Features of Seeed Studio reComputer J101 Carrier Board for NVIDIA Jetson Nano\u003c\/h2\u003e\u003cul\u003e \u003cli\u003ePurpose-built carrier board for the Jetson Nano module, exposing its interfaces on a stable industrial-style form factor\u003c\/li\u003e \u003cli\u003eSeeed Studio's reComputer line is aimed at edge-AI deployment rather than just prototyping\u003c\/li\u003e \u003cli\u003eSuits projects moving a Jetson Nano prototype toward a more finished, mountable product\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003ePerfect For\u003c\/h2\u003e\u003cul\u003e \u003cli\u003eEdge-AI vision and robotics projects built on Jetson Nano\u003c\/li\u003e \u003cli\u003eMoving a Jetson Nano prototype into a more production-ready carrier\u003c\/li\u003e \u003cli\u003eIndustrial or embedded AI deployments needing a stable mounting platform\u003c\/li\u003e \u003c\/ul\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cdetails\u003e\u003csummary\u003eDo you provide a GST invoice?\u003c\/summary\u003e\u003cp\u003eYes, a GST invoice is available on every order.\u003c\/p\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eDo you offer bulk \/ wholesale pricing?\u003c\/summary\u003e\u003cp\u003eYes — for bulk enquiries, WhatsApp us at +91 78285 34155.\u003c\/p\u003e\u003c\/details\u003e\u003ch2\u003eCustomer Support\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEmail:\u003c\/strong\u003e techdepotindia@gmail.com\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhatsApp:\u003c\/strong\u003e Available for setup and troubleshooting help\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOrder your Seeed Studio reComputer J101 Carrier Board for NVIDIA Jetson Nano today and start building your next project.\u003c\/strong\u003e\u003c\/p\u003e\u003ch2\u003eBuy Seeed Studio reComputer J101 Carrier Board for NVIDIA Jetson Nano Online in India\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eRelated:\u003c\/strong\u003e Browse more from our \u003ca href=\"\/collections\/all\"\u003eour full catalog\u003c\/a\u003e collection, or see \u003ca href=\"\/collections\/all\"\u003eall products\u003c\/a\u003e at Tech Depot India.\u003c\/p\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":49831474528513,"sku":"TTD-RC-NVIDIAJETSONNANO","price":6848.55,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/Seeed_Studio_reComputer_J101_Carrier_Board_for_NVIDIA_Jetson_Nano.png?v=1784048198"}],"url":"https:\/\/techdepot.in\/collections\/jetson-single-board-computers.oembed","provider":"Tech Depot India","version":"1.0","type":"link"}