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.

 

Sponsored by Digi-Key

Analog Devices ADIS16500/05/07 Precision Miniature MEMS IMU Available Now from Digi-Key

The Analog Devices’ ADI ADIS16500/05/07 precision miniature MEMS IMU includes a triaxial gyroscope and a triaxial accelerometer. Each inertial sensor in the MEMS IMU combines with signal conditioning that optimizes dynamic performance.

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.

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