ASUS IoT has unveils PE3000N, a compact edge-AI platform engineered to satisfy the superior necessities of next-generation robotics and clever automation. Accelerated by the cutting-edge NVIDIA Jetson Thor platform, with superior NVIDIA Blackwell GPU, a strong 14-core Arm CPU, and a 128GB of LPDDR5X reminiscence, enabling a formidable 2,070 FP4 TFLOPS of AI processing energy in a extremely space-efficient kind issue — making it ultimate for integration into robotic techniques the place each area and power effectivity are important. With its strong structure, PE3000N powered by Jetson T5000 module allows builders and integrators to attain new ranges of autonomy, sensor fusion, and AI-driven management for industrial, business and good infrastructure deployments.
Rugged reliability for difficult environments
Engineered for sturdiness, PE3000N incorporates MIL-STD-810H industrial-grade connectors and a low-profile chassis to resist demanding working circumstances. With assist for as much as 4 optionally available 25GbE hyperlinks and 16 GMSL cameras, it allows high-bandwidth sensor fusion and superior machine imaginative and prescient, even in essentially the most difficult environments. The huge 12-60V DC enter and ignition assist present steady, battery-friendly operation throughout various settings — from manufacturing facility flooring and autonomous automobiles to smart-city infrastructure. With an working temperature vary from -20°C as much as 60°C, PE3000N ensures resilient efficiency and safe knowledge dealing with, making it a trusted answer for mission-critical robotics, automation and edge AI deployments.
Configurable design for enlargement and versatile deployment
Versatility is a trademark of PE3000N, that includes a scalable chassis and modular I/O layers that assist interfaces akin to PoE, GMSL, CAN and QSFP28 to accommodate evolving sensor and community wants. The optionally available second stack allows vertical enlargement inside a compact 2U top, permitting for project-specific I/O customisation. Extra capabilities embody PTP/PPS for exact sensor synchronisation, onboard TPM 2.0 for strong safety, and assist for LTE/5G/GNSS modules, broadening deployment choices throughout trade sectors.
Empowering AI efficiency on the edge
PE3000N’s excellent computational energy helps environment friendly execution of generative AI fashions, akin to visible language fashions (VLMs) and enormous language fashions (LLMs), in addition to real-time video analytics and autonomous management duties. Additionally, to ship a seamless cloud-to-edge expertise, it runs NVIDIA AI applied sciences for bodily AI purposes, together with NVIDIA Isaac for robotics, NVIDIA Holoscan platform for real-time sensor processing, and even constructing and deploying video analytics AI brokers utilizing NVIDIA agentic AI workflows like NVIDIA Blueprint for Video Search and Summarisation (VSS) from NVIDIA Metropolis. By processing huge quantities of information and facilitating speedy decision-making straight on the edge, PE3000N ensures absolutely autonomous operations and clever analytics with minimal latency, eliminating reliance on cloud connectivity and maximising responsiveness for contemporary robotics and industrial automation.
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