Computex 2025: ASUS IoT Showcases Edge AI Innovations with RUC-1000 Series
May 20, 2025
News
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.
According to ASUS, its RUC-1000G is the world’s first edge AI GPU computer supporting 600W GPUs with PCI Express (PCIe) 5.0, achieving up to 4000 TOPS of AI performance. Operating temperature ranges from -25°C to 60°C aided by an enhanced heat-dissipation system that separates the main system from the GPU chassis.
The RUC-1000G utilizes the NVIDIA RTX PRO 6000 Blackwell Server Edition series GPUs. It supports full-rack (19-inch), half-rack (half-width), and 2U-height designs with flexible mounting options such as wall and desk. The ASUS Q-Release Slim design allows tool-free removal of graphics cards.
The RUC-1000D is a half-rack (half-width), embedded fanless edge computer, supporting RAID 0/1/5/10 configurations plus an optional hot-swappable SSD chassis for up to six 2.5-inch SSDs. It includes 10GbE LAN, dual 2.5GbE LAN, ten USB, and six COM ports for expandability, one M.2 M key (NVMe), dual M.2 B keys (4G/5GNR/CAN bus) and an M.2 E key (WiFi 6). Ideal for factory automation and smart city deployments, the RUC-1000D has an extended temperature range from -25°C to 70°C.
Both the RUC-1000G and RUC-1000D comply with IEC 62443-4-1 cybersecurity standards. An integrated iBMC module supports out-of-band (OOB) management, facilitating remote monitoring, rapid system recovery, and reduced operational downtime. They carry MIL-STD-810H certification and have an 8-48V wide-range DC-in with ignition control for rugged environments.
For more information, visit https://www.asus.com/networking-iot-servers/aiot-industrial-solutions/embedded-computers-edge-ai-systems/ruc-1000g/
Chad Cox is the Production Editor at Embedded Computing Design. His responsibilities are centered around content creation, writing and editing, and article research and development. Chad covers industry news and events and is known to interact with various industrial leaders via on-premise visits and online interviews. He is responsible for the digital footprint and dissemination of news via social media posts, advertising creation and the production of newsletters including the Embedded Computing Design’s Daily.
He is well versed in many facets of industrial computing including Edge AI, IoT, Processing, Security, Open Source, and more.
Chad graduated from the University of Cincinnati with a B.A. in Cultural and Analytical Literature and holds a master’s in education.
