NVIDIA® Jetson Xavier™ NX Module
NVIDIA® Jetson Xavier™ NX takes supercomputer performance to the edge in a compact system-on-module (SOM) that’s smaller than a credit card. It features new cloud-native support and accelerates the NVIDIA software stack with more than 10X the performance of its widely adopted predecessor, Jetson TX2. This power-efficiency enables accurate, multi-modal AI inference in a small form factor and opens the door for innovative edge devices in manufacturing, logistics, retail, service, agriculture, smart city, healthcare and life sciences, and more.
PRODUCT DETAILS
Tip
We offer the NVIDIA® Jetson Xavier™ NX Developer Kit which includes an NVIDIA® Jetson Xavier™ NX Module and a reference carrier board. Click here to learn more!
Note
This module gets very hot while working and it's recommended to use this heatsink which also includes a fan to cool down the components.
Tip
NVIDIA® Jetson Xavier™ NX Module can be attached to a Jetson Mate to build your own Jetson cluster! It supports up to 4 Nvidia Jetson Nano/NX/TX2 NX SoMs!
Features
- Compact size SoM powerful enough for advanced AI applications with low power consumption
- Supports entire NVIDIA Software Stack for application development and optimization
- More than 10X the performance of Jetson TX2
- Enables development of AI applications using NVIDIA JetPack™ SDK
- Easy to build, deploy, and manage AI at the edge
- Flexible and scalable platform to get to market with reduced development costs
- Continuous updates over the lifetime of the product
Description
NVIDIA® Jetson Xavier™ NX takes supercomputer performance to the edge in a compact system-on-module (SOM) that’s smaller than a credit card. It features new cloud-native support and accelerates the NVIDIA software stack with more than 10X the performance of its widely adopted predecessor, Jetson TX2. This power-efficiency enables accurate, multi-modal AI inference in a small form factor and opens the door for innovative edge devices in manufacturing, logistics, retail, service, agriculture, smart city, healthcare, and life sciences, and more.
The Jetson Xavier NX module benefits from new cloud-native support across the entire Jetson platform lineup, making it easier to build, deploy, and manage AI at the edge. Pre-trained AI models from NVIDIA NGC, together with the NVIDIA Transfer Learning Toolkit, provide a faster path to inference with optimized AI networks, while containerized deployment to Jetson devices allows flexible and seamless updates.
NVIDIA JetPack™ SDK enables the development of AI applications for Jetson Xavier NX with accelerated libraries supporting all major AI frameworks, as well as computer vision, graphics, multimedia, and more. Together with the latest NVIDIA tools for application development and optimization, JetPack ensures fast time to market and reduced development costs.
Ease of development and speed of deployment together with a unique combination of form-factor, performance, and power advantage make Jetson Xavier NX the most flexible and scalable platform to get to market and continuously update over the lifetime of a product.
Bringing Cloud-Native Agility to Edge AI Devices with the NVIDIA Jetson Xavier NX Developer Kit
Tip
To learn more about Jetson Xavier, please visit the Jetson Xavier NX Technical Blog with Benchmarks, also by the NVIDIA team.
Comparison Between The NVIDIA Jetson AI Modules
| Jetson Nano | Jetson TX2 NX | Jetson TX2 Series | Jetson Xavier NX | Jetson AGX Xavier Series | |
|---|---|---|---|---|---|
| AI Performance | 0.5 TFLOPS (FP16) | 1.33 TFLOPs | 1.3 TFLOPS (FP16) | 6 TFLOPS (FP16) 21 TOPS (INT8) |
5.5-11 TFLOPS (FP16) 20-32 TOPS (INT8) |
| GPU | 128-core NVIDIA Maxwell™ GPU | NVIDIA Pascal™ Architecture GPU with 256 CUDA cores | 256-core NVIDIA Pascal™ GPU architecture with 256 NVIDIA CUDA cores | NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores | 512-Core Volta GPU with Tensor Cores |
| CPU | Quad-core ARM A57 @ 1.43 GHz | Dual-Core NVIDIA Denver 2 64-Bit CPU Quad-Core ARM® Cortex®-A57 MPCore processor |
Dual-Core NVIDIA Denver 2 64-Bit CPU Quad-Core ARM® Cortex®-A57 MPCore |
6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3 | 8-Core ARM v8.2 64-Bit CPU, 8 MB L2 + 4 MB L3 |
| Memory | 4 GB 64-bit LPDDR4 25.6 GB/s | 4GB 128-bit LPDDR4, 1600 MHz - 51.2 GB/s | 8GB 128-bit LPDDR4 1866 MHz - 59.7 GB/s |
8 GB 128-bit LPDDR4x @ 51.2GB/s | 32 GB 256-Bit LPDDR4x | 137 GB/s |
| Power Consumption | 5-10W | 7.5W / 15W | 7.5-15W | 10-15W | 10-30W |
| Dimensions | 45 x 70mm | 45 x 70mm | 50 x 87mm | 45 x 70mm | 100 x 87mm |
| Price | $149 | $199 | Starting at $299 | $499 | Starting at $679 |
Note
We provide a wide selection of AI-related products including Machine Learning, Computer Vision, Edge Computing, Speech Recognition & NLP, and Neural Networks Acceleration. Check here for more products you may need.
We are also calling for feedback and inputs from the developers. Any suggestions on the product features are welcome at Seeed Forum!
Specifications
| AI Performance | 21 TOPS (INT8) |
|---|---|
| GPU | NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores |
| Max GPU Frequency | 1100 MHz |
| CPU | 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3 |
| Max CPU Frequency | 1900 MHz |
| Memory | 8 GB 128-bit LPDDR4x @ 51.2GB/s |
| Storage | 16 GB eMMC 5.1 |
| Power | 10 W | 15 W |
| PCIe | 1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4), total 144 GT/s * |
| CSI Camera | Up to 6 cameras (24 via virtual channels) |
| 14 lanes (3x4 or 6x2) MIPI CSI-2 | |
| D-PHY 1.2 (up to 30 Gbps) | |
| Video Encode | 2x 4K @ 30 | 6x 1080p @ 60 | 14x 1080p @ 30 (H.265/H.264) |
| Video Decode | 2x 4K @ 60 | 4x 4K @ 30 | 12x 1080p @ 60 | 32x 1080p @ 30 (H.265) 2x 4K @ 30 | 6x 1080p @ 60 | 16x 1080p @ 30 (H.264) |
| Display | 2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0 |
| DL Accelerator | 2x NVDLA Engines |
| DLA Max Frequency | 1100 MHz |
| Vision Accelerator | 7-Way VLIW Vision Processor |
| Networking | 10/100/1000 Base-T Ethernet |
| USB | 1xUSB 3.1 (10 Gbps) | 3xUSB 2.0 |
| Other IOs | 1x SDIO / 2x SPI / 3x UART / 2x I2S / 4x I2C / 1x CAN / GPIOs |
| Dimensions | 45 mm x 69.6 mm |
| Connector | 60 pin SO-DIMM connector |
Tip
To explore more NVIDIA products, please click here and learn more!
Tip
Head over to NVIDIA Jetson Download Center to explore the necessary drivers and software for this product.
Parts List
1 x NVIDIA® Jetson Xavier™ NX Module
ECCN/HTS
| HSCODE | 8543709990 |
| UPC |