The NVIDIA Jetson Nano is a small, GPU-powered computer built for running AI and computer vision at the edge — on robots, cameras and IoT devices, without the cloud. It's a favourite of engineering students, researchers and robotics startups across India. Here's how to get started.
What is the Jetson Nano?
Unlike a Raspberry Pi, the Jetson Nano has an NVIDIA GPU that can run deep-learning models (image classification, object detection, pose estimation) in real time. It runs Linux and NVIDIA's JetPack SDK, which bundles CUDA, cuDNN and TensorRT for AI acceleration.
What can you build?
- Real-time object and face detection cameras
- Autonomous robots and drones with onboard vision
- Smart surveillance and people-counting systems
- Edge AI for IoT and industrial inspection
What you actually need
Beyond the module/board, a Jetson Nano build usually needs: a solid 5V power supply, active cooling (the GPU runs warm under load), a camera, and fast storage. Buying compatible parts up front saves a lot of trouble:
- Camera: an Arducam 8MP IMX219 camera for Jetson Nano
- Cooling: an active heat-sink + PWM fan for sustained AI workloads
- Storage: an eMMC storage module for faster, more reliable boot
How to start
Flash NVIDIA's JetPack image to your storage, boot the Nano with a display, keyboard and mouse, and you're in a full Linux desktop. From there, install Python, OpenCV and PyTorch/TensorRT and run your first inference demo.
Everything ships from our Bengaluru warehouse with a GST invoice available for colleges and research labs. Need help speccing a Jetson build? WhatsApp us at +91 78285 34155.