Subscribe to EDOM TECH Newsletter
NVIDIA
Jetson Xavier NX Module
Jetson Xavier NX delivers up to 21 TOPS for running modern AI workloads, consumes as little as 10 watts of power, and has a compact form factor smaller than a credit card. It can run modern neural networks in parallel and process data from multiple high-resolution sensors, opening the door for embedded and edge computing devices that demand increased performance but are constrained by size, weight, and power budgets.
The World’s Smallest AI Supercomputer for Embedded and Edge Systems
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 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.
［Jetson Download Center］
Key Features
- 384-Core NVIDIA Volta™ GPU with 48 Tensor Cores
- 6-Core NVIDIA Carmel ARM®v8.2 64-bit CPU
- 2x NVDLA Engines
- 7-Way VLIW Vision Processor
- 8 GB 128-bit LPDDR4x
- 16 GB eMMC 5.1
- 10/100/1000 Base-T Ethernet
Power
- Voltage Input: 5 V
- Module Power: 10 W - 15 W
Technical Specs
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 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.
［Jetson Download Center］ Key Features
- 384-Core NVIDIA Volta™ GPU with 48 Tensor Cores
- 6-Core NVIDIA Carmel ARM®v8.2 64-bit CPU
- 2x NVDLA Engines
- 7-Way VLIW Vision Processor
- 8 GB 128-bit LPDDR4x
- 16 GB eMMC 5.1
- 10/100/1000 Base-T Ethernet
Power
- Voltage Input: 5 V
- Module Power: 10 W - 15 W
Technical Specs
| AI Performance | 21 TOPS (INT8) |
|
GPU
|
NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores
|
| Max GPU Freq | 1100 MHz |
| CPU | 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3 |
| CPU Max Freq | 1900 MHz |
|
DL Accelerator
|
2x NVDLA Engines
|
|
Memory
|
8 GB 128-bit LPDDR4x @ 51.2GB/s
|
|
Storage
|
16 GB eMMC 5.1
|
|
Video Encode
|
2x 4K @ 30 | 6x 1080p @ 60 | 14x 1080p @ 30 (H.265/H.264)
|
|
Video Decoder
|
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) |
|
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) |
|
Power
|
10 W | 15 W
|
|
Display
|
2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0
|
|
PCIe
|
1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4), total 144 GT/s *
|
|
USB
|
1xUSB 3.1 (10 Gbps) | 3xUSB 2.0
|
|
Others IOs
|
1x SDIO / 2x SPI / 3x UART / 2x I2S / 4x I2C / 1x CAN / GPIOs
|
|
Mechanical
|
45 mm x 69.6 mm 260 pin SO-DIMM connector
|
*NVIDIA Authorized Distributor
