There are many industries seeking to deploy real-time, rugged edge AI computing power, particularly those that require low latency and precise results. Manufacturing, robotics, machine vision, Smart City, and Safety and Security applications require edge processing solutions, and companies are beginning to make investments to meet these needs.

ASUS participated in embedded world North America 2025 where it highlighted its latest portfolio of AIoT, embedded systems, and edge computing products in collaboration with Intel. The solutions are engineered to accelerate change across industries and strengthen the two companies shared dedication to influencing the future of embedded technologies.

ASUS IoT’s Scalable Motherboard Solution Forms Heart of Semiconductor Test Platform

This whitepaper explores how LiDAR, a cutting-edge remote sensing technology that uses invisible laser light to generate highly accurate 3D maps of environments, outperforms conventional perception technologies in transportation hubs and smart cities.

Applying Edge-based AI in the healthcare space has opened up a whole new domain known as “smart healthcare,” and it is rapidly becoming a key technology for improving the quality and efficiency of patient care, while enhancing the safety features of the medical facilities. And in some cases, the Edge AI systems are saving lines.

Ken Briodagh interviews Silvia Kuo with Intel partnerASUS AIoT live from embedded world 2025.

Taipei, Taiwan. ASUS IoT is exhibiting at Computex 2025 where it introduced its RUC-1000-series rugged-rack edge AI computers, ideal for industrial AI applications. Included is the RUC-1000G and RUC-1000D both leveraging the latest Intel Core Ultra 200S series processors and dual DDR5 6400 MHz SO-DIMM slots supporting up to 64GB of memory.