NVIDIA 900-13636-0010-000 | Jetson TX2 NX AI Module, 6-Core CPU, 256-Core GPU, 4GB
SKU:900-13636-0010-000
Stock Status: Enquire
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Description
Description
Features
Features
NVIDIA Pascal GPU architecture with 256 CUDA cores for parallel computing and AI acceleration
- Heterogeneous multi-processing CPU with dual Denver 2 cores and quad ARM Cortex-A57 cores
- Hardware accelerators for the entire AI pipeline including deep learning inference
- 51.2 GB/s memory bandwidth with 4GB LPDDR4 for efficient data processing
- Support for OpenGL 4.6, OpenGL ES 3.2, and Vulkan graphics APIs
- Multi-channel display support with eDP 1.4, DisplayPort 1.2a, HDMI 2.0a/b, and DSI outputs
- Compact 69.6 x 45mm system-on-module design for space-constrained applications
- Pin and form-factor compatible with Jetson Nano and Xavier NX for product scalability
- Flexible power modes from 7.5W to 15W with active thermal and power management
- Extended temperature range operation from -25°C to 90°C for industrial environments
- NVIDIA JetPack SDK support with containerized application deployment
- PCIe Gen2, USB 3.0, Gigabit Ethernet, and industry-standard peripheral interfaces
Warranty
Warranty
All products sold by XS Network Tech include a 12-month warranty on both new and used items. Our in-house technical team thoroughly tests used hardware prior to sale to ensure enterprise-grade reliability.
All technical data should be verified on the manufacturer data sheets.
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Technical Specifications
FAQs
Technical Specifications
GPU: NVIDIA Pascal architecture with 256 CUDA cores, 1.33 TFLOPS FP16 performance
- CPU: Dual-core NVIDIA Denver 2 64-bit + Quad-core ARM Cortex-A57 MPCore (6 cores total)
- Memory: 4GB 128-bit LPDDR4 at 1600 MHz (51.2 GB/s bandwidth)
- Storage: 16GB eMMC 5.1 Flash
- Form Factor: 69.6 x 45mm compact system-on-module (260-pin connector)
- Power Consumption: 7.5W to 15W (module power)
- Power Input: 5V DC
- Operating Temperature Range: -25°C to 90°C (TJ typical)
- Display Support: 2x multi-mode eDP 1.4 / DP 1.2a / HDMI 2.0a/b, 1x DSI
- Connectivity: Industry-standard interfaces including PCIe Gen2, USB, I2S, I2C
- Software Support: NVIDIA JetPack SDK with accelerated libraries for AI frameworks
- Pin Compatibility: Compatible with Jetson Nano and Jetson Xavier NX carrier boards
FAQs
Q: What applications is the Jetson TX2 NX designed for?
A: The Jetson TX2 NX is designed for entry-level embedded and edge AI applications including manufacturing automation, logistics, retail analytics, service robots, agriculture monitoring, smart city infrastructure, and healthcare and life sciences applications requiring AI inference capabilities in a compact, power-efficient form factor.
Q: Is the Jetson TX2 NX compatible with other Jetson carrier boards?
A: Yes, the Jetson TX2 NX shares the same 260-pin connector, 69.6 x 45mm form factor, and pin compatibility with Jetson Nano and Jetson Xavier NX modules, allowing OEMs to scale product offerings across different performance tiers using the same carrier board design.
Q: What is the AI performance of the Jetson TX2 NX?
A: The module delivers 1.33 TFLOPS of FP16 performance through its 256-core Pascal GPU and heterogeneous 6-core CPU architecture, providing up to 2.5X the performance of Jetson Nano for AI inference workloads while consuming between 7.5W and 15W.
Q: What software development tools are available for the TX2 NX?
A: The module is supported by NVIDIA JetPack SDK, which includes accelerated libraries for major AI frameworks, computer vision, graphics, and multimedia. Developers can access pre-trained models from NVIDIA NGC and use the NVIDIA TAO Toolkit for custom AI network development with containerized deployment support.
Q: How does the TX2 NX differ from the original Jetson TX2?
A: The TX2 NX features the same 6-core CPU and 256-core Pascal GPU as the TX2, but uses a compact 69.6 x 45mm form factor with a 260-pin connector instead of the TX2's 87 x 50mm size with 400-pin connector. The TX2 NX includes 4GB LPDDR4 and 16GB eMMC, compared to up to 8GB RAM and 32GB eMMC on the original TX2, with slightly reduced I/O interfaces.
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