Jetson Xavier NX

The World’s Smallest AI Supercomputer for Embedded and Edge Systems

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Jetson Xavier™ NX brings supercomputer performance to the edge in a small form factor system on module (SOM). With up to 21 TOPS of accelerated computing, it can 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.

Jetson Xavier NX will be available worldwide in March 2020, but you can start developing today.

The Best of Both Worlds

  • Size
  • Performance
  • Power

Xavier Performance. Nano Size.

At 70 mm x 45 mm, Jetson Xavier NX packs the power of an NVIDIA Xavier SoC into a module the size of a Jetson Nano. This small module combines exceptional performance and power advantages 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.

Powerful 21 TOPs AI Performance

Jetson Xavier NX delivers 14 TOPS in 10 W and 21 TOPS in 15 W, making it ideal for size and power-constrained systems. With 384 CUDA Cores, 48 Tensor Cores, and 2 NVDLA engines, it can run multiple modern neural networks in parallel and process high-resolution data from multiple sensors simultaneously.

Incredible Power Efficiency

Jetson Xavier NX lets you use the entire NVIDIA software stack that runs all modern AI networks and frameworks with accelerated libraries for deep learning as well as computer vision, computer graphics, multimedia, and more. And it still leaves more of your power budget for the sensors and peripherals required by today’s embedded applications.

Xavier NX

For Critical Embedded Applications

Jetson Xavier NX is perfect for high-performance AI systems like drones, portable medical devices, small commercial robots, smart cameras, high-resolution sensors, automated optical inspection, and other IoT embedded systems.

Drone
Medical
Robot
Camera

NVIDIA's embedded Jetson products have been accelerating the research, development, and deployment of embedded AI solutions on Lockheed Martin's platforms. With Jetson Xavier NX's exceptional performance, small form factor & low power, we will be able to do more processing in real-time at the edge than ever before.

— Lee Ritholz, Director & Chief Architect Applied Artificial Intelligence, Lockheed Martin

In a world where AI chips are announced on what seems like a daily basis, I believe NVIDIA raised the bar with its Jetson Xavier NX — showing that exceptional performance at small size and low power, together with a consistent and powerful software architecture, is what matters in embedded edge computing.

— Patrick Moorhead, President & Principal Analyst Moor Insight & Strategy

Our goal is to dramatically increase the quality & accuracy of our optical inspection system and accelerate our move towards industry 4.0. NVIDIA's Jetson Xavier NX gives us the compute capabilities to improve our visual inspection capabilities without increasing the size and power of our optical inspection system.

— Otsuka Hiroshi, CEO Musashi Seimitsu

Technical Specifications

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
6 MB L2 + 4 MB L3
Memory 8 GB 128-bit LPDDR4x
51.2 GB/s
Storage 16 GB eMMC 5.1
Power 10W|15W
PCIe 1 x1 + 1 x4
(PCIe Gen3, Root Port & Endpoint)
CSI Camera Up to 6 cameras (36 via virtual channels)
12 lanes MIPI CSI-2
D-PHY 1.2 (up to 30 Gbps)
Video Encode 2x464 MP/sec
2x 4K @ 30 (HEVC)
6x 1080p @ 60 (HEVC)
Video Decode 2x690 MP/sec
2x 4K @ 60 (HEVC)
12x 1080p @ 60 (HEVC)
32x 1080p @ 30 (HEVC)
Display 2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0
DL Accelerator 2x NVDLA Engines
Networking 10/100/1000 BASE-T Ethernet
Mechanical 69.6 mm x 45 mm
260-pin SO-DIMM connector

Start developing today for Jetson Xavier NX by downloading the software patch and installing it on your Jetson AGX Xavier Developer Kit.

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