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embedded computer and touch panel computer

AI Rugged Computer (Jetson AGX Xavier)

IP67-protected industrial computer based on NVIDIA® Jetson AGX Xavier™

· Artificial Intelligence at the Edge · For AI inference applications, Intelligent Control, Object detection and classification, Predictive Maintenance, Intelligent Video Analysis

NVIDIA’s powerful Jetson AGX Xavier serves as the platform for Syslogic’s new AI rugged computer. Jetson AGX Xavier is the world’s first platform specifically designed for autonomous machines. This makes it suitable for demanding AI applications at the edge such as intelligent video analysis of up to 30 parallel HD streams, object detection and classification, autonomous driving, autonomous mobile robots or predictive maintenance. As a leading provider of AI-enabled processor technology, NVIDIA provides a wide range of AI tools and workflows that enable developers to quickly train and deploy neural networks.

Syslogic pairs NVIDIA’s clever processor technology with over thirty years of experience in the development and manufacturing of reliable and durable embedded systems. The AI rugged Rugged Computer (Jetson AGX Xavier) features IP67 protection and is one of the most robust embedded systems on the market. This makes it particularly suitable for vehicle or outdoor applications. Typical applications are transportation technology, construction and agricultural machinery, off-highway applications or rolling stock.  

In use
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Technical data
  • NVIDIA Jetson AGX Xavier
  • 512-core NVIDIA Volta™ GPU with 64 Tensor Cores
  • AI Performance: 32 TOPs
  • 8-Core ARM v8.2 64-bit NVIDIA Carmel CPU
  • 32GB 256-bit LPDDR4 RAM soldered on board
  • 32GB eMMC 5.1 Flash Storage on board
  • microSD Card socket
  • M.2 socket
  • CFast socket with retention frame
  • Graphic interface DisplayPort 1.2 
  • 2x USB version 2.0 (Type A )
  • Internal USB version 2.0 OTG behind the cover (micro USB Type AB)
  • 2x Ethernet 10/100/1000Mbit (M12 female x-coded)
  • Mini PCIe socket
  • I2C bus
  • Buzzer

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