A new AI milestone for autonomous machines
Server-class performance in the palm of your hand

Jetson AGX Xavier 8GB is a lower-power lower-price Jetson AGX Xavier offering full hardware and software compatibility with the existing Jetson AGX Xavier. It consumes a maximum of 20W for the full module while delivering up to 20 TOPS of AI performance.

This advanced system-on-module is powered by the NVIDIA Xavier SoC and designed specifically for autonomous machines. Heterogeneous accelerated computing architecture delivers advanced edge capabilities. Plus , it comes with integrated memory, storage, power management, and an innovative thermal design to enable faster time to market. 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 board support package (BSP), Ubuntu Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. It’s also supported by the NVIDIA DeepStream SDK, which delivers a complete toolkit for real-time situational awareness through intelligent video analytics (IVA) . This helps you boost performance and accelerate software development, while reducing development cost and effort.

Features:

• Module
  
  • 384-Core Volta GPU with 48 Tensor cores
  • (2x) NVDLA Engines
  • 6-core ARM v8.2 64-bit CPU, 8MB L2 + 4MB L3
  • 8GB 256-bit LPDDR4x
  • 32 GB eMMC 5.1 Flash Storage
  • 7-Way VLIW Vision Accelerator Processor
  Power
  
  1. Voltage input 5 V, 9 V~20 V 
  2. Module Power: 10 W~30 W
  
  Environment 
  
  • Operating temperature: -25 C to 80 C measured on the TTP surface
  • Storage temperature: -25 C to 80 C 
  • Humidity: TBD (non-operational) 
  • Vibration: TBD (random/ sinusoidal) 
  • Shock: TBD