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NVIDIA JETSON XAVIER NX SOM DELIVERS UP TO 21 TOPS FOR AI WORKLOADS AT THE EDGE

Summary of NVIDIA JETSON XAVIER NX SOM DELIVERS UP TO 21 TOPS FOR AI WORKLOADS AT THE EDGE


NVIDIA has launched the Jetson Xavier NX, a compact AI supercomputer designed for edge robotics and IoT. Measuring 69.6 x 45 mm, it delivers up to 21 TOPS using an NVIDIA Volta GPU with 384 CUDA cores, 48 Tensor Cores, two NVDLA accelerators, and a 6-core Carmel ARM CPU. It features 8GB LPDDR4x memory, 16GB eMMC storage, and extensive I/O including PCIe, MIPI CSI-2, and dual video outputs. Running Ubuntu Linux with JetPack SDK support, it targets applications like drones, medical devices, and industrial sensors.

Parts used in the Jetson Xavier NX:

  • NVIDIA Xavier SoC
  • 6-core NVIDIA Carmel ARM v8.2 64-bit CPU
  • 384-core NVIDIA Volta GPU
  • 48 Tensor Cores
  • 2x NVDLA deep learning accelerators
  • 8 GB 128-bit LPDDR4x System Memory
  • 16 GB eMMC 5.1 flash Storage
  • 260-pin SO-DIMM connector
  • Dual Display ports (DP 1.4/eDP 1.4/HDMI 2.0)
  • 10/100/1000 Mbps Ethernet
  • MIPI CSI-2 Camera interface
  • PCIe Gen3 slots (x1 and x4)
  • I2C and GPIO interfaces

NVIDIA has just announced Jetson Xavier NX system-on-module, with the company claiming it is the “world’s smallest, most powerful AI supercomputer for robotic and embedded computing devices at the edge” with a 70x45mm “Jetson Nano” form factor, and delivering either up to 14 TOPS at 10 Watts or 21 TOPS at 15 Watts.

The Jetson Xavier NX board features an Nvidia Volta GPU AI accelerator with 384 CUDA cores and 48 tensor cores, with two Nvidia deep learning accelerators. Its CPU is a 6-core Nvidia Carmel Arm 64-bit CPU.

The company expects the module to be used in small commercial robots, drones, intelligent high-resolution sensors for factory logistics and production lines, optical inspection, network video recorders, portable medical devices, and other industrial IoT systems.

Jetson Xavier NX Specifications:

  • SoC – NVIDIA Xavier with 6-core NVIDIA Carmel ARM v8.2 64-bit CPU,
    6MB L2 + 4MB L3 caches, and a 384-core NVIDIA Volta GPU with 48 Tensor Cores, 2x NVDLA deep learning accelerators delivering up to 21 TOPS at 15 Watts
  • System Memory – 8 GB 128-bit LPDDR4x @ 51.2GB/s
  • Storage – 16 GB eMMC 5.1 flash
  • Video
    • Encode
      • 2x464MP/sec
      • 2x 4K @ 30 (HEVC)
      • 6x 1080p @ 60 (HEVC)
    • Decode
      • 2x690MP/sec
      • 2x 4K @ 60 (HEVC)
      • 12x 1080p @ 60 (HEVC)
      • 32x 1080p @ 30 (HEVC)
  • 260-pin SO-DIMM connector exposing:
    • Display – 2x multi-mode DP 1.4/eDP 1.4/HDMI 2.0
    • Networking – 10/100/1000 Mbps Ethernet
    • Up to 6 CSI Camera (36 via virtual channels), 12 lanes MIPI CSI-2, D-PHY 1.2 up to 30 Gbps
    •  1x PCIe x1, 1x PCIe x4 (PCIe Gen3, Root Port & Endpoint)
    • I2C and GPIO’s
  • Power – Configurable 10W or 15W
  • Dimensions – 69.6 x 45 mm

Like other Jetson boards and modules, Jetson Xavier NX runs Ubuntu-based Linux, is supported by NVIDIA JetPack software development kit, and CUDA-X AI libraries. The module supports all most common AI frameworks such as TensorFlow, PyTorch, MxNet, Caffe, and others.

Read more: NVIDIA JETSON XAVIER NX SOM DELIVERS UP TO 21 TOPS FOR AI WORKLOADS AT THE EDGE

Quick Solutions to Questions related to Jetson Xavier NX:

  • What is the form factor of the Jetson Xavier NX?
    The module features a 70x45mm Jetson Nano form factor with actual dimensions of 69.6 x 45 mm.
  • How many TOPS can the Jetson Xavier NX deliver?
    It delivers up to 14 TOPS at 10 Watts or 21 TOPS at 15 Watts.
  • What CPU does the Jetson Xavier NX use?
    It uses a 6-core NVIDIA Carmel ARM v8.2 64-bit CPU with 6MB L2 and 4MB L3 caches.
  • Does the Jetson Xavier NX support common AI frameworks?
    Yes, it supports TensorFlow, PyTorch, MxNet, Caffe, and others via the NVIDIA JetPack software development kit.
  • What operating system runs on the Jetson Xavier NX?
    The module runs Ubuntu-based Linux.
  • What are the video decoding capabilities of the Jetson Xavier NX?
    It supports decoding up to 2x 4K @ 60 (HEVC), 12x 1080p @ 60 (HEVC), or 32x 1080p @ 30 (HEVC).
  • What types of devices are expected to use this module?
    It is intended for small commercial robots, drones, intelligent high-resolution sensors, optical inspection, network video recorders, portable medical devices, and industrial IoT systems.
  • How much system memory does the Jetson Xavier NX have?
    The board features 8 GB of 128-bit LPDDR4x memory running at 51.2GB/s.

About The Author

Ibrar Ayyub

I am an experienced technical writer holding a Master's degree in computer science from BZU Multan, Pakistan University. With a background spanning various industries, particularly in home automation and engineering, I have honed my skills in crafting clear and concise content. Proficient in leveraging infographics and diagrams, I strive to simplify complex concepts for readers. My strength lies in thorough research and presenting information in a structured and logical format.

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