Inno3d RTX 4070 Ti Super Twin X2 16GB Graphics Card
Inno3d RTX 4070 Ti Super Twin X2 16GB Graphics Card
Inno3d RTX 4070 Ti Super Twin X2 16GB Graphics Card
The Inno3d RTX 4070 Ti Super Twin X2 is a high-performance discrete graphics card powered by NVIDIA's Ada architecture, delivering exceptional compute performance for professional and consumer applications. This card is extensively used by 3D animators, VFX professionals, data scientists, and high-end gaming enthusiasts who require sustained performance at 1440p and 4K resolutions with maximum graphical fidelity. It solves the critical problem of GPU bottlenecks in rendering pipelines, AI workloads, and demanding gaming scenarios by providing 2880 CUDA cores and 16GB of GDDR6X memory with 256-bit bus width.
Product Overview
The Inno3d RTX 4070 Ti Super Twin X2 features dual-fan cooling architecture with advanced thermal management, delivering sustained boost clocks up to 2.610 GHz while maintaining optimal thermal performance. The card utilizes NVIDIA's Ada GPU architecture with 2880 CUDA cores, enabling parallel processing of complex computational tasks with superior energy efficiency compared to previous generation cards. The Twin X2 cooler design incorporates dual axial fans with aluminum heatsinks and vapor chamber technology, ensuring efficient heat dissipation during intensive workloads while maintaining low noise levels even under peak load conditions.
This graphics card supports full-height dual-slot mounting and features comprehensive connectivity including three DisplayPort 2.1 UHBR20 outputs and one HDMI 2.1 port, enabling multi-monitor setups and 8K display support. The 16GB GDDR6X memory configuration with ECC support provides sufficient bandwidth for professional compute applications, machine learning inference, and complex 3D rendering tasks. Power delivery is handled through dual 8-pin PCIe power connectors with a total TDP of 285W, requiring a robust 750W or higher power supply for stable operation in demanding scenarios.
Key Specifications
| Specification | Details |
| Product Type | Discrete Graphics Card - Professional and Gaming |
| Brand | Inno3d |
| Origin | Original/Authentic |
| Warranty | 7 days on manufacturing defects |
| Shipping | 1-5 days from Bengaluru |
| Delivery | 7-8 days across India |
| Support | 24/7 via Email and WhatsApp |
| GPU Memory | 16GB GDDR6X with ECC Support |
| Memory Bus Width | 256-bit |
| CUDA Cores | 2880 Cores |
| Boost Clock | Up to 2.610 GHz |
| Power Consumption | 285W TDP |
| Power Connectors | Dual 8-pin PCIe Power |
| Display Outputs | 3x DisplayPort 2.1 UHBR20, 1x HDMI 2.1 |
| Cooling Solution | Dual-Fan Twin X2 with Vapor Chamber |
Key Features
- 2880 CUDA Cores with Ada Architecture delivering up to 29 TFLOPS of FP32 compute performance for intensive parallel processing tasks
- 16GB GDDR6X Memory with 576 GB/s bandwidth enabling rapid data transfer for large-scale 3D models and machine learning datasets
- Dual-Fan Twin X2 Cooling System with vapor chamber technology maintaining optimal thermal performance under sustained loads while reducing noise
- DisplayPort 2.1 UHBR20 Support enabling 8K display connectivity and multi-monitor professional workflows with maximum bandwidth
- NVIDIA DLSS 3 and DLSS Frame Generation supporting AI-accelerated upscaling for superior gaming performance and visual quality
- Full PCI Express 4.0 Support providing maximum bandwidth compatibility with modern motherboards and future-proof expandability
- Compact Dual-Slot Design fitting standard full-height PCIe slots with efficient thermal management in typical case configurations
Applications and Use Cases
- 3D Animation and Rendering: Accelerates ray-tracing and path-tracing workloads in Blender, 3ds Max, and Cinema 4D with real-time viewport performance for complex scenes with millions of polygons
- Professional VFX and Compositing: Enables GPU-accelerated particle simulations, motion graphics, and color grading in DaVinci Resolve and Nuke with 16GB memory for 4K and 8K timelines
- AI and Machine Learning: Supports training and inference of neural networks with CUDA compute capability 8.9, optimized for TensorFlow, PyTorch, and NVIDIA CUDA Toolkit applications
- High-End Gaming: Delivers 4K gaming at 60+ FPS with maximum settings in demanding titles, with DLSS 3 support for further performance optimization
- Scientific Computing: Accelerates computational fluid dynamics, molecular simulations, and financial modeling through CUDA parallel processing capabilities
- Content Creation: Supports real-time 8K video editing, color correction, and effects rendering in professional NLE applications with multi-GPU scaling support
How to Use
Installation requires a compatible motherboard with a full-height PCIe x16 slot and a power supply rated for at least 750W with dual 8-pin PCIe power connectors. Power down your system completely, discharge static electricity by touching a grounded metal surface, and carefully insert the graphics card into the primary PCIe x16 slot until the retention clip engages with a audible click. Secure the card's bracket to the case with provided screws, connect both 8-pin power connectors firmly to the card ensuring proper seating, and close the case. Power on the system and install the latest NVIDIA GeForce or CUDA drivers from the official NVIDIA website matching your operating system.
After driver installation, verify GPU recognition in Device Manager or nvidia-smi command line utility, then configure display outputs by connecting monitors to the DisplayPort or HDMI ports on the card rather than motherboard connectors. For professional applications, enable persistence mode and adjust power management settings through NVIDIA Control Panel for optimal performance. Monitor GPU temperatures using tools like GPU-Z or HWiNFO, maintaining operating temperatures below 83°C for sustained performance. For multi-GPU configurations, ensure proper power distribution and enable GPU linking in application settings where supported.
Frequently Asked Questions
What is the difference between RTX 4070 Ti and RTX 4070 Ti Super?
The RTX 4070 Ti Super features 2880 CUDA cores compared to 2560 in the standard RTX 4070 Ti, providing approximately 12-15% better performance in compute-intensive tasks. The Super variant also has higher boost clocks and improved power efficiency, making it ideal for professional rendering and AI workloads requiring maximum throughput within the RTX 40-series lineup.
Is the Inno3d RTX 4070 Ti Super Twin X2 suitable for cryptocurrency mining?
While technically capable of mining, NVIDIA has implemented hardware-level limitations on RTX 40-series cards that reduce mining performance by 50% compared to consumer RTX cards. Professional applications like rendering, AI, and scientific computing provide significantly better ROI for this premium graphics card.
What power supply wattage do I need for the RTX 4070 Ti Super?
NVIDIA recommends a minimum 750W power supply for systems using the RTX 4070 Ti Super. For systems with high-end CPUs like Ryzen 9 or Intel Core i9, we recommend 850W or higher to ensure stable operation and future upgrade headroom. The card's 285W TDP requires dual 8-pin connectors with proper 12V rail capacity.
Does this card support NVIDIA DLSS 3 and Frame Generation?
Yes, the RTX 4070 Ti Super fully supports DLSS 3 with Frame Generation technology, which uses AI to create entirely new frames between rendered frames, potentially doubling framerates in supported games. This feature is exclusive to RTX 40-series and newer architectures.
What cooling performance can I expect from the Twin X2 design?
The dual-fan Twin X2 cooler maintains GPU temperatures around 70-75°C under sustained full-load conditions in typical room environments. The vapor chamber technology efficiently transfers heat from the GPU die to the aluminum fins, with dual fans operating at moderate speeds to minimize noise while maintaining excellent thermal performance.
Can I use this card for professional applications like CAD and 3D rendering?
Absolutely. The RTX 4070 Ti Super is certified for professional applications and includes ECC memory support for data integrity in critical workflows. It supports NVIDIA CUDA, OptiX ray-tracing, and professional APIs, making it ideal for Autodesk, Blender, and other professional software with full driver support and optimization.
When will I receive my order?
Orders are dispatched within 1-5 business days from our Bengaluru warehouse. Delivery takes 7-8 days to most locations across India.
What is your return and warranty policy?
We offer a 7-day return policy on manufacturing defects only. Contact support within 7 days of receipt for free replacement or full refund. Not applicable for user damage or misuse.
Are bulk discounts available?
Yes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.
Why Buy from The Tech Depot
- Genuine Products: Sourced directly from authorized distributors with authentication
- Expert Team: Our technical team validates every product before listing
- Fast Shipping: Dispatched within 1-5 days from our Bengaluru warehouse
- Pan-India Delivery: 7-8 days to Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata
- Payment Options: COD, UPI, credit/debit cards, net banking, EMI available
- Technical Support: 24/7 expert guidance via email and WhatsApp
- Returns: 7-day return policy on manufacturing defects only
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