NVIDIA Jetson Xavier NX, Small AI Supercomputer for Edge Computing, with 16GB EMMC
NVIDIA Jetson Xavier NX, Small AI Supercomputer for Edge Computing, with 16GB EMMC
NVIDIA Jetson Xavier NX, Small AI Supercomputer for Edge Computing, with 16GB EMMC
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NVIDIA Jetson Xavier NX, Small AI Supercomputer for Edge Computing, with 16GB EMMC

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NVIDIA Jetson Xavier NX, Small AI Supercomputer For Embedded And Edge Systems, With 16GB EMMC
"XAVIER PERFORMANCE. NANO SIZE."

Jetson Xavier NX

Brings Supercomputer Performance To The Edge In A Small Form Factor SOM

NVIDIA Jetson Xavier NX brings supercomputer performance to the edge in a small form factor system-on-module (SOM). Up to 21 TOPS of accelerated computing delivers the horsepower to run modern neural networks in parallel and process data from multiple high-resolution sensors—a requirement for full AI systems. Jetson Xavier NX is production-ready and supports all popular AI frameworks.


☑ Integrates 16 GB eMMC storage
☑ Industrial grade, more stable
☑ As powerful as Xavier, as small as Nano


Compact, Powerful Performance At The Edge
SIZE: XAVIER PERFORMANCE. NANO SIZE.

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.

PERFORMANCE: POWERFUL 21 TOPS AI PERFORMANCE

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.

POWER: INCREDIBLE POWER EFFICIENCY

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.

Ideal For Critical Embedded Applications

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.

Specifications
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
  1. Please refer to the Software Features section of the latest NVIDIA Jetson Linux Developer Guide for a list of supported features.


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