Jetson Xavier NX

Welcome to RidgeRun's guide to NVIDIA^®Jetson Xavier NX™

NVIDIA^®Jetson Xavier NX™

NVIDIA^®Jetson Xavier NX™ is an embedded system-on-module (SoM) from the NVIDIA Jetson family. It is a small, and tremendous powerful computer for embedded AI systems and IoT that delivers the power of modern AI with an exceptional performance/power/cost balance, maintaining the high computational capabilities required in our days. NVIDIA considers this platform as the world's smallest AI supercomputer for embedded and edge systems, designed in a small form factor system on module (SOM) smaller than a credit card. This platform is capable to run modern neural networks in parallel and processing data from multiple high-resolution sensors, supporting the most popular AI frameworks. Jetson Xavier NX represents an excellent option 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.

Jetson Xavier NX supports high-resolution sensors, can process many sensors in parallel and can run multiple modern neural networks in parallel on each sensor stream. It also supports many popular AI frameworks, making it easy for developers to integrate their preferred models and frameworks into the product.

The Jetson Xavier NX comes with an integrated 384 CUDA cores Volta™ GPU with 48 Tensor cores, 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU, 8GB LPDDR4 128-bit memory, 2 NVDLA engines, along with support for MIPI CSI-2 and PCIe Gen3 high-speed I/O. This platform is capable of delivering 14 TOPS at 10 W and 21 TOPS at 15 W of power consumption. Jetson Xavier NX runs Linux and is compatible with all the Jetson family software stack (Jetpack, L4T, CUDA, DeepStream, TensorRT, CuDNN, AI Frameworks ...). As it is common with all the NVIDIA Jetson Family devices, this platform has huge support from NVIDIA, Jetson Ecosystem Partners, and the community.

Jetson Xavier NX comes in two versions — the $399 devkit for developers, makers, and enthusiasts, and the $499 production-ready module for companies looking to create mass-market edge systems. You can take a look at the NVIDIA Jetson store page. One of the principal differences between these two options is that the Jetson Xavier NX developer kit doesn´t come with an eMMC memory, so you require an SD Card in order to use the devkit.

The Jetson Xavier NX Developer Kit is an easy to use, low power consumption (10-15W), high computing capabilities, small and powerful computer/platform that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing out of the box. This kit makes more accessible the power of modern AI to makers, learners, and embedded developers.

RidgeRun provides support for embedded Linux development for NVIDIA's platforms, specializing in the use of hardware accelerators in multimedia applications. RidgeRun's products take full advantage of the accelerators that NVIDIA exposes to perform transformations on the video streams achieving great performance on complex processes.

This page contains detailed guides and information on how to get started with the NVIDIA Jetson Xavier NX and start using its full capabilities.

To get up-to-speed with your NVIDIA Jetson Xavier NX board, start by clicking below:

For direct inquiries, please refer to the contact information available on our Contact page. Alternatively, you may complete and submit the form provided at the same link. We will respond to your request at our earliest opportunity.

Links to RidgeRun Resources and RidgeRun Artificial Intelligence Solutions can be found in the footer below.

Index

Next: Introduction

❯

Jetson Xavier NX

See also

COMPANY

SUPPORT

ARTIFICIAL INTELLIGENCE