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NVIDIA Jetson TX2i Module
Original price was: ₹199,999.00.₹120,999.00Current price is: ₹120,999.00.
The NVIDIA Jetson TX2i Module is a rugged industrial embedded AI System-on-Module featuring a 256-core NVIDIA Pascal GPU, Dual-Core Denver 2 + Quad-Core Cortex-A57 CPU, 8GB ECC LPDDR4 memory, 32GB eMMC storage, and 1.26 TFLOPS (FP16) AI performance. Built for harsh environments with an operating range of -40°C to +85°C, it is ideal for industrial automation, robotics, machine vision, healthcare, and edge AI applications.
Available on backorder
NVIDIA Jetson TX2i Module
Features
- Industrial-grade design for harsh environments.
- 256 NVIDIA CUDA Cores based on NVIDIA Pascal architecture.
- Dual-Core Denver 2 + Quad-Core Cortex-A57 CPU.
- 8GB ECC LPDDR4 memory with 51.2 GB/s bandwidth.
- 32GB eMMC 5.1 onboard storage.
- Supports up to 6 MIPI CSI-2 cameras.
- Multiple high-speed I/O including PCIe Gen2, USB 3.0, Gigabit Ethernet, CAN, SPI, and I²C.
- Ruggedized with ECC memory, extended temperature operation, shock, and vibration resistance.
- Compatible with JetPack SDK, CUDA, TensorRT, DeepStream, TensorFlow, and PyTorch.
Specifications
| Product Name | NVIDIA Jetson TX2i Module |
| Brand | NVIDIA |
| Product Type | Industrial 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 | Denver 2: Up to 1.95 GHz, Cortex-A57: Up to 1.92 GHz |
| AI Performance | Up to 1.26 TFLOPS (FP16) |
| GPU Frequency | Up to 1.12 GHz |
| Memory | 8GB 128-bit LPDDR4 with ECC Support |
| Memory Bandwidth | 51.2 GB/s |
| Onboard Storage | 32GB eMMC 5.1 |
| PCIe | PCIe Gen2 (1×4 + 1×1 or 1×2 + 2×1 configurations) |
| USB | Up to 3 × USB 3.0, 3 × USB 2.0 |
| Camera Support | Up to 6 Cameras (12 Virtual Channels) |
| Camera Interface | 12 MIPI CSI-2 Lanes (D-PHY 1.2) |
| Display Support | 2 × DisplayPort 1.2 / eDP 1.4 / HDMI 2.0, Dual DSI |
| Networking | 1 × Gigabit Ethernet (Carrier Board Dependent) |
| Other Interfaces | UART, SPI, CAN, I²C, I²S, GPIO |
| Power Modes | 10W – 20W |
| Module Size | 87 × 50 mm |
| Connector | 400-Pin Board-to-Board Connector |
| Operating Temperature | -40°C to +85°C |
| Storage Temperature | -40°C to +85°C |
| Humidity | 95% RH (Non-Condensing) |
| Shock Rating | 140 G (2 ms Half-Sine) |
| Vibration Rating | 5 G RMS (10–500 Hz) |
| Operating System | NVIDIA JetPack SDK (Ubuntu Linux) |
| AI Frameworks | CUDA, TensorRT, cuDNN, DeepStream, OpenCV, TensorFlow, PyTorch |
| Target Applications | Industrial Robotics, Machine Vision, Medical Equipment, Smart Manufacturing, Edge AI |
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