ASUS IoT Leverages NVIDIA for Edge Ready Deep Learning

By Chad Cox

Production Editor

Embedded Computing Design

July 18, 2023


Image Credit: ASUS IoT

Taipei, Taiwan. ASUS IoT, released its NVIDIA Jetson Orin series powered ultra-compact PE1100N AI inferencing platform. An Arm processer is integrated with the NVIDIA GPU providing flexibility at the edge in applications such as smart city, transportation, traffic analysis, people-tracking, counting, and surveillance. The PE1100N leverages up to 100-trillion operations per second (TOPS) running on low-power (10-25 W) while supporting deep learning and computer-vision.

Asus designed the PE1100N edge ready with an operating temperature range from -20° to 50°C. The solution supports the NVIDIA Isaac Robot Operating System (ROS) SDK for ROS 2 projects. According to ASUS the, “PE1100N provides up to 5X the performance of previous-generation devices. It also realizes up to 18X-better frames-per-watt efficiency than traditional x86-based platforms.”

PE1100N Features:

  • LAN
  • DIO
  • COM
  • USB 3.2
  • Type-A
  • CAN bus
  • Micro-USB debug port
  • Optional WiFi/Bluetooth module
  • M.2 B key is 4G/5G cellular module ready (dual SIM slots)

Supporting GPS delivers accurate data storage and tracking for smart manufacturing solutions including automated guided vehicle (AGVs), autonomous mobile robots (AMRs), AI-powered automated optical inspection (AOI) and robotics applications

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Chad Cox. Production Editor, Embedded Computing Design, has responsibilities that include handling the news cycle, newsletters, social media, and advertising. Chad graduated from the University of Cincinnati with a B.A. in Cultural and Analytical Literature.

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