The NVIDIA Jetson Xavier NX module is considered to be the smallest AI supercomputer in the world for embedded and edge systems. This module is only 70 x 45 mm yet packs in high performance and power efficiency.
This module is especially suited for running entire AI systems. With up to 21 TOPS of accelerated computing, it delivers the computing power needed to run parallel neural networks and process data from multiple high-resolution sensors simultaneously.
The Jetson Xavier NX also features support for cloud-native technologies, making it easier for developers to upgrade and manage the AI products. In addition, it comes with pre-trained AI models from NVIDIA NGC and the NVIDIA Transfer Learning Toolkit that allow for the faster creation of professional and optimized AI networks.
The module perfectly suits high-performance AI systems such as AI-powered high-resolution vision systems, drones, smart cameras, commercial robots, or medical equipment.
AI
RAM |
8GB |
16GB |
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 @ 1866MHz 59.7GB/s |
16 GB 128-bit LPDDR4x @ 1866MHz 59.7GB/s |
Storage |
16 GB eMMC 5.1 |
|
Power |
10W | 15W | 20W |
|
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 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/HD 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 |
260 pin SO-DIMM connector |
Brings Supercomputer Performance To The Edge In A Small Form Factor SOM
At 70 mm x 45 mm, Jetson Xavier NX packs the power of the NVIDIA Xavier SoC into a module the size of a Jetson Nano. This compact module combines exceptional performance and power advantage with a rich set of IOs—from high-speed CSI and PCIe to low-speed I2Cs and GPIOs. Take advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capability to all your embedded AI and edge systems.
Jetson Xavier NX delivers up to 21 TOPS, making it ideal for high-performance compute and AI in embedded and edge systems. You get the performance of 384 NVIDIA CUDA Cores, 48 Tensor Cores, 6 Carmel ARM CPUs, and two NVIDIA Deep Learning Accelerators (NVDLA) engines. Combined with over 51GB/s of memory bandwidth, video encoded, and decode, these features make Jetson Xavier NX the platform of choice to run multiple modern neural networks in parallel and process high-resolution data from multiple sensors simultaneously.
Jetson Xavier NX supports multiple power modes, including low-power modes for battery-operated systems, and delivers up to 14 TOPs for AI applications in as little as 10 W. This leaves more of your power budget for sensors and peripherals, while still letting you use the entire NVIDIA software stack. You now have the performance to run all modern AI networks and frameworks with accelerated libraries for deep learning, computer vision, computer graphics, multimedia, and more.
Jetson Xavier NX is perfect for high-performance AI systems like commercial robots, medical instruments, smart cameras, high-resolution sensors, automated optical inspection, smart factories, and other AIoT embedded systems.