The UP Xtreme ARL Edge: Deployment-ready from Day One

The UP Xtreme ARL Edge is a ready-to-deploy, ruggedized system that harnesses the raw processing power and inferencing performance of Intel® Core Ultra 200H Series Processors to eliminate integration pain points in industrial robotics. Combining legacy serial and high-speed networking interfaces with an AI engine capable of managing complex workloads, the UP Xtreme ARL Edge is the complete package, ready to deploy at scale across mission-critical environments.

Industrial-Grade Enclosure for Harsh Industrial Environments

The UP Xtreme ARL Edge’s industrial-grade enclosure offers fanless operation across temperatures as wide as -20°C to 60°C, is compatible across the full range of industrial power standards with a 9V to 36V DC power input range, and is built to withstand the shock, vibration, and noise of industrial robots, AGVs/AMRs, and heavy machinery. Moreover, its lockable power connector and selection of mounting options enhance its reliability, versatility, and scalability without the need for additional protective components.

An I/O for Both Modern & Legacy Device Support

The UP Xtreme ARL Edge contains all the interfaces needed for AI-driven task execution, with dual Intel® powered LAN ports for high-bandwidth networking to multiple COM ports offering RS-232/422/485 for sensor, controller, and PLC data exchange. Expanding this versatility even further is the classic UP 16-pin GPIO, which provides a direct multi-signal bridge for real-time control for robotics, factory automation, AMRs, and conveyor belts – eliminating the need for external I/O modules.

Integrated CPU, GPU, & NPU for Complex AI Workloads

The UP Xtreme ARL Edge’s Intel® Core Ultra 200H Series combines power-optimized processing architecture with an Intel® Arc™ 140T discrete GPU and Intel® AI Boost NPU to harness up to 97 TOPs of AI performance. With native support for a variety of AI software frameworks alongside Windows®, Ubuntu, and Yocto OS compatibility, trained models can be immediately run directly on the system’s NPU without custom hardware or standardization on a single OS, broadening deployment potential.