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NVIDIA Jetson TX2 NX Module
Original price was: ₹68,999.00.₹30,999.00Current price is: ₹30,999.00.
The NVIDIA Jetson TX2 NX Module is a compact embedded AI System-on-Module featuring a 256-core NVIDIA Pascal GPU, Dual-Core NVIDIA Denver 2 + Quad-Core Arm Cortex-A57 CPU, 4GB LPDDR4 memory, 16GB eMMC storage, and up to 1.33 TFLOPS (FP16) AI performance. Compatible with Jetson Nano and Xavier NX carrier boards, it supports JetPack SDK, CUDA, TensorRT, and DeepStream, making it ideal for robotics, industrial automation, computer vision, and edge AI applications.
Available on backorder
NVIDIA Jetson TX2 NX Module
Features
- 256-core NVIDIA Pascal GPU for AI inference and graphics acceleration.
- Dual-Core NVIDIA Denver 2 + Quad-Core Arm Cortex-A57 CPU.
- 4GB LPDDR4 memory with 51.2 GB/s bandwidth.
- 16GB eMMC 5.1 onboard storage.
- Compact 69.6 × 45 mm 260-pin SO-DIMM form factor.
- Compatible with Jetson Nano and Jetson Xavier NX carrier boards.
- Supports up to 5 MIPI CSI-2 cameras.
- Hardware acceleration for 4K video encoding and decoding.
- Supports CUDA, TensorRT, DeepStream, OpenCV, TensorFlow, and PyTorch.
- Low-power operation with configurable 7.5W and 15W modes.
Specifcations
| Product Name | NVIDIA Jetson TX2 NX Module |
| Brand | NVIDIA |
| Product Type | Embedded AI System-on-Module (SoM) |
| GPU Architecture | NVIDIA Pascal |
| GPU | 256 NVIDIA CUDA Cores |
| Tensor Cores | Not Available |
| CPU | Dual-Core NVIDIA Denver 2 + Quad-Core Arm Cortex-A57 (6 Cores Total) |
| CPU Frequency | Up to 2.0 GHz |
| AI Performance | Up to 1.33 TFLOPS (FP16) |
| GPU Frequency | Up to 1.30 GHz |
| Memory | 4GB 128-bit LPDDR4 |
| Memory Bandwidth | 51.2 GB/s |
| Onboard Storage | 16GB eMMC 5.1 |
| PCIe | 1 × PCIe Gen2 x2 + 1 × PCIe Gen2 x1 |
| USB | 1 × USB 3.0, 3 × USB 2.0 |
| Camera Support | Up to 5 Cameras |
| Camera Interface | 12 MIPI CSI-2 Lanes (D-PHY 1.1) |
| Display Support | DisplayPort 1.2, eDP 1.4, HDMI 2.0 |
| Networking | 1 × Gigabit Ethernet (Carrier Board Dependent) |
| Video Encode | Up to 1 × 4K60, 3 × 4K30, 4 × 1080p60 (H.265/H.264) |
| Video Decode | Up to 2 × 4K60, 7 × 1080p60, 14 × 1080p30 (H.265/H.264) |
| Power Modes | 7.5W / 15W |
| Module Size | 69.6 × 45 mm (260-pin SO-DIMM) |
| Operating System | NVIDIA JetPack SDK (Ubuntu Linux) |
| AI Frameworks | CUDA, TensorRT, cuDNN, DeepStream, OpenCV, TensorFlow, PyTorch |
| Target Applications | Robotics, Smart Cameras, Industrial Automation, AI Vision, Edge Computing, IoT |
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