Jetson Xavier NX

                  The World’s Smallest AI Supercomputer for Embedded and Edge Systems. Now with Cloud-Native Support.
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                  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 now features cloud-native support that lets developers build and deploy high-quality, software-defined features on embedded and edge devices. Pre-trained AI models from NVIDIA NGC and the NVIDIA Transfer Learning Toolkit give you a faster path to trained and optimized AI networks, while containerized deployment to Jetson devices allows flexible and seamless updates. Jetson Xavier NX accelerates the NVIDIA software stack with more than 10X the performance of its widely adopted predecessor, Jetson TX2.

                  NVIDIA brings cloud-native agility to Edge AI devices

                  Compact, Powerful Performance at the Edge

                  • Size
                  • Performance
                  • Power

                  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.

                  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.

                  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.

                  Jetson Xavier NX

                  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.

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                  The Jetson Xavier NX enables AI at the edge with powerful computing performance, while keeping the small form factor of the Jetson Nano. This makes it possible to deploy containerized Azure solutions with AI acceleration at scale for applications like processing multiple camera feeds, more sophisticated robotics applications, and edge AI gateway scenarios.

                  — Moe Tanabian, General Manager of Azure Edge Devices, Microsoft

                  NVIDIA’s architectural ability to leverage its AI software technology from multiple industries, from the data center to its Jetson AI edge solutions, is a dramatic accelerator for the embedded and robotics world. The embedded and robotics world is about to transform from fixed function software devices to modern, software-defined computers.

                  — Janakiram MSV, Analyst, Janakiram & Associates

                  The NVIDIA Jetson Xavier NX allows us to get higher performance within a tighter size and power budget, enabling innovative development of compact drones for a variety of practical applications. We believe the Jetson platform with cloud-native support is an important new development to help build and deploy future generations of autonomous machines.

                  — Sertac Karaman, Associate Professor of Aeronautics and Astronautics, Massachusetts Institute of Technology

                  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

                  See all NVIDIA ecosystem partner products supporting Jetson Xavier NX

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                  • Overview
                  • Specs

                  The NVIDIA? Jetson Xavier NX? Developer Kit brings supercomputer performance to the edge. It includes a Jetson Xavier NX module for developing multi-modal AI applications with the NVIDIA software stack in as little as 10 W. You can also now take advantage of cloud-native support to more easily develop and deploy AI software to edge devices.

                  The developer kit is supported by the entire NVIDIA software stack, including accelerated SDKs and the latest NVIDIA tools for application development and optimization. A Jetson Xavier NX module and reference carrier board are included, along with AC power supply.

                  Developer Kit Technical Specifications
                  GPUNVIDIA Volta? architecture
                  with 384 NVIDIA? CUDA? cores and 48 Tensor cores
                  CPU6-core NVIDIA Carmel ARM?v8.2 64-bit CPU
                  6 MB L2 + 4 MB L3
                  DLA2x NVDLA Engines
                  Vision Accelerator7-Way VLIW Vision Processor
                  Memory8 GB 128-bit LPDDR4x 51.2GB/s
                  StoragemicroSD (Card not included)
                  Video Encode2x 4Kp30 | 6x 1080p 60 | 14x 1080p30 (H.265/H.264)
                  Video Decode2x 4Kp60 | 4x 4Kp30 | 12x 1080p60 | 32x 1080p30 (H.265)
                  2x 4Kp30 | 6x 1080p60 |16x 1080p30 (H.264)
                  Camera2x MIPI CSI-2 D-PHY lanes
                  ConnectivityGigabit Ethernet, M.2 Key E (WiFi/BT included), M.2 Key M (NVMe)
                  DisplayHDMI and DP
                  USB4x USB 3.1, USB 2.0 Micro-B
                  OthersGPIOs, I2C, I2S, SPI, UART
                  Mechanical103 mm x 90.5 mm x 34 mm

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                  Jetson Xavier NX Developer Kit
                  • Overview
                  • Specs

                  Smaller than a credit card (70x45 mm), the energy-efficient Jetson Xavier NX module delivers server-class performance—21 TOPS (at 15 W) or up to 14 TOPS (at 10 W). It can run multiple modern neural networks in parallel and process data from multiple high-resolution sensors—a requirement for full AI systems. Available cloud-native support makes it easier than ever to develop and deploy AI software to edge devices.

                  Jetson Xavier NX is production-ready and supports all popular AI frameworks. This opens the door for embedded edge-computing devices that demand increased performance to support AI workloads but are constrained by size, weight, power budget, or cost.

                  Module 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
                  6MB L2 + 4MB L3
                  Memory 8 GB 128-bit LPDDR4x
                  Storage 16 GB eMMC 5.1
                  Power 10 W|15 W
                  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 (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

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                  Jetson Xavier NX Module