ASUS IoT presents a powerful edge-AI platform called PE3000N that is designed to be used in robotics, automation, and smart industrial applications.

ASUS IoT has launched its new product, PE3000N, which is a small-sized edge-AI platform and is aimed at strengthening robotics and intelligent automation systems. The PE3000N features up to 2,070 FP4 TFLOPS of AI performance with the powerful NVIDIA Jetson Thor platform based on the Blackwell GPU and a 14-core Arm processor and is thus space and energy-efficient in compact IoT projects.

The PE3000N is designed to be used in rough industrial settings and contains MIL-STD-810H-grade parts and includes up to four optional 25GbE connections and 16 GMSL cameras in support of high-bandwidth IoT sensor fusion. Its broad 12-60 V DC input makes it work reliably throughout harsh use in IoT autonomous vehicles and smart factories.

The design of the system is based on PoE, CAN, and QSFP28, which can be customized in response to the changing requirements of the IoT network. TPM 2.0 and LTE/5G/GNSS module compatibility are used to enhance security, which can be implemented flexibly and securely in a variety of environments.

The PE3000N uses Isaac, Holoscan, and Metropolis offerings of NVIDIA to enable real-time video analytics, generative AI, and autonomous decision-making at the edge. Through minimizing cloud reliance, ASUS IoT is going to provide and more data-protected long range of next-generation industrial and city automated solutions.