Details
"XAVIER PERFORMANCE. NANO SIZE."
Brings supercomputer performance to the edge in a small form factor SOM
☑ Industrial grade, more stable
☑ As powerful as Xavier, as small as Nano
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.
| RAM option | 8GB | 16GB |
|---|---|---|
| AI Performance | 21 TOPS | |
| GPU | 384-core NVIDIA Volta GPU with 48 Tensor Cores | |
| CPU | 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6MB L2 + 4MB L3 |
|
| Memory | 8 GB 128-bit LPDDR4x 59.7GB/s | 16 GB 128-bit LPDDR4x 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/s1 | |
| CSI Camera | Up to 6 cameras (36 via virtual channels) 12 lanes (3x4 or 6x2) MIPI CSI-2 D-PHY 1.2 (up to 30 Gbps) |
|
| Video Encode | 2x 4Kp30 | 6x 1080p60 | 14x 1080p30 (H.265 & H.264) | |
| Video Decode | 2x 4Kp60 | 4x 4Kp30 | 12x 1080p60 | 32x 1080p30 (H.265) 2x 4Kp30 | 6x 1080p60 | 16x 1080p30 (H.264) |
|
| Display | 2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0 | |
| DL Accelerator | 2x NVDLA Engines | |
| Vision Accelerator | 7-Way VLIW Vision Processor | |
| Networking | 10/100/1000 BASE-T Ethernet | |
| Mechanical | 69.6 mm x 45 mm 260-pin SO-DIMM connector |
|
- Please refer to the Software Features section of the latest NVIDIA Jetson Linux Developer Guide for a list of supported features.
| Model | Module | Developer Kit |
|---|---|---|
| Jetson Nano N-VIDIA Maxwell architecture 128 N-VIDIA CUDA cores |
 69.6×45mm 260-pin edge connector |
 100×80×29mm Official Kit: 4GB / 2GB |
 100×80×29mm Waveshare Kit |
||
| Jetson TX2 N-VIDIA Pascal architecture 256 N-VIDIA CUDA cores |
 87×50mm 400-pin connector with Thermal Transfer Plate |
 170×170×15.6mm Official Kit |
| Jetson TX2 NX N-VIDIA Pascal architecture 256 N-VIDIA CUDA cores |
 69.6×45mm 260-pin edge connector |
 103×90.5×34mm Waveshare Kit |
| Jetson Xavier NX N-VIDIA Volta architecture 384 N-VIDIA CUDA cores 48 Tensor cores |
 69.5×45mm 260-pin edge connector |
 103×90.5×31mm Official Kit |
 103×90.5×34mm Waveshare Kit: 8GB / 16GB |
||
| Jetson AGX Xavier N-VIDIA Volta architecture 512 N-VIDIA CUDA cores 64 Tensor cores |
 100×87mm 699-pin connector Integrated Thermal Transfer Plate |
 105×105×65mm |
| Jetson Orin Nano N-VIDIA Ampere architecture 512/1024 N-VIDIA CUDA cores 16/32 Tensor cores |
 Memory: 4GB / 8GB 69.6×45mm 260-pin SO-DIMM connector |
 100×79×21mm Official Kit |
 103×90.5×34mm Waveshare Kit: 4GB / 8GB |
||
| Jetson Orin NX N-VIDIA Ampere architecture 1024 N-VIDIA CUDA cores 32 Tensor cores |
 Memory: 8GB / 16GB 69.6×45mm 260-pin SO-DIMM connector |
103×90.5×34mm Waveshare Kit: 8GB / 16GB |
| Note: some models haven't been released yet, please contact the Waveshare service team if you need them. | ||
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Quick Overview
- OPTIONS Jetson Xavier NX
