ASUS IoT has announced the PE3000N, a compact edge-AI platform designed to support advanced robotics, intelligent automation, and industrial applications. Powered by the NVIDIA® Jetson Thor platform, which integrates the NVIDIA Blackwell GPU, a 14-core Arm CPU, and up to 128GB LPDDR5X memory, the system delivers 2,070 FP4 TFLOPS of AI performance in a compact chassis. The PE3000N is optimized for space and energy efficiency, making it suitable for autonomous systems and smart infrastructure deployments.
Built for reliability, the platform meets MIL-STD-810H standards and supports a wide 12–60V DC input, 25GbE links, and up to 16 GMSL cameras for sensor fusion and machine vision in demanding environments. It operates within a temperature range of -20°C to 60°C, ensuring stable performance in diverse conditions.
The modular design allows flexible I/O configuration, supporting interfaces such as PoE, GMSL, CAN, and QSFP28, with options for LTE/5G connectivity and TPM 2.0-based security. The PE3000N runs NVIDIA’s AI software stack, including NVIDIA Isaac, Holoscan, and Metropolis Blueprint for edge-based video analytics. By enabling real-time data processing and decision-making at the edge, the PE3000N enhances operational efficiency across industrial, commercial, and smart-city applications.
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