Module Sets Performance Milestones For Autonomous Machines

The NVIDIA Jetson AGX Xavier module delivers up to 32 TOPS of accelerated computing capability in a compact form factor consuming under 30W. This yields more than 20X the performance and 10X the energy efficiency of its predecessor,

the NVIDIA Jetson TX2.

 

Free Monthly Newsletter

Compelling read? Subscribe to FierceEmbeddedTech!

The embedded tech sector runs the market’s trends. FierceEmbeddedTech subscribers rely on our suite of newsletters as their must-read source for the latest news, developments and analysis impacting their world. Sign up today to get news and updates delivered to your inbox and read on the go.

The system-on-module is powered by the NVIDIA Xavier SoC and designed specifically for autonomous machines. Heterogeneous accelerated computing architecture delivers advanced edge capabilities. Also, it comes with integrated memory, storage, power management, and a unique thermal design to enable faster time to market. Users can run modern AI workloads and solve problems in areas like manufacturing, logistics, retail, service, agriculture, smart cities, and healthcare.

 

Jetson AGX Xavier is supported by NVIDIA JetPack, which includes a board support package, an Ubuntu Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, and multimedia processing. It’s also supported by the NVIDIA DeepStream SDK, which provides a complete toolkit for real-time situational awareness through intelligent video analytics. Get more specs and greater insights from the Jetson AGX Xavier datasheet as well as the Jetson AGX Xavier Developer Kit page.

Suggested Articles

IP theft and technology transfer are key components of eight-part deal

According to a Gartner report, global semiconductor revenue totaled $418.3 billion in 2019, down 11.9% from 2018.

3D printed prosthetic arm has Arm M4 processor inside on board built by Particle