The Road to embedded world: ASUS IoT and Intel Collaborate on Autonomous Vehicles and Smart Surveillance Solutions
March 10, 2025
Blog
Visitors to Hall 3, Booth 257 at embedded world will witness the ASUS IoT RUC-1000G, an innovative edge AI computing platform designed for seamless AI deployment, system integration, and high-performance GPU utilization. The solution is powered by Intel’s Core Ultra S-series processors with W880 chipset, PCIe 5.0 support, and a modular half-rack design for scalable AI applications.
RUC-1000G Highlights
System Integration and Future-Proofing
- RUC-1000G adopts a standard 19-inch rack and modular half-rack design
Power delivery for high-performance GPUs
- Up to 600W GPUs for deep learning, real-time video analytics and AI-driven processing
- Wide 8V–48V DC-input range and intelligent ignition power control
High bandwidth for data-intensive applications
- PCIe 5.0 support delivers high-speed data transmission with low latency and high throughput
Current applications
- Enhances defect detection and quality assurance with high-speed AI inference
- Real-time AI-driven decision-making and sensor fusion for Autonomous vehicles
- Enhanced surveillance, traffic management and predictive analytics
The RUC-1000G is engineered to support furthering technologies in AI-driven automation, computer vision and generative AI. Its modular architecture allows continuous upgrades, supporting next-generation PCIe standards and high-performance GPUs. Users can integrate AI innovations without the need to reconfigure infrastructure.
Innovations
- Includes 2.5GbE/10GbE Ethernet and eight USB 3.2 Gen 2 ports with screw-lock designs for secure connectivity
- MIL-STD-810H compliance and wide -25°C to 60°C temperature range
- Fanless architecture and multiple mounting options support autonomous vehicles and industrial AI deployments
- TPM IC and IEC 62443-4-1 compliance for secure AI applications.
- Equipped with iBMC for remote system monitoring and recovery
To secure your free ticket to embedded world, click here: https://www.messe-ticket.de/Nuernberg/embeddedworld2025/Register/SYS4ew25?culture=en
For more information, visit https://builders.intel.com/ecosystem-engagement/marketing/events/embedded-world-2025.
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.
