RUC-1000G -U5-245T Barebone

ASUS IoT RUC-1000G is the world's first edge AI GPU computer to support 600W GPUs in a 2U form factor with PCIe 5.0, achieving up to 4,000 TOPS of AI performance—leading the industry in capabilities. This powerful system enables ultra-fast AI training and real-time inference for complex workloads. It features an Intel® Core™ Ultra CPU, up to 64GB of DDR5 memory, and multiple M.2 slots for expanded storage and connectivity. Designed for high-performance industrial AI computing, the RUC-1000G excels in applications such as machine vision, autonomous vehicles, and intelligent video analytics. An advanced heat-dissipation system isolates the main system from the GPU chassis, ensuring consistent, unthrottled performance even in harsh environments. RUC-1000G is fully compatible with NVIDIA® RTX PRO™ 6000 Blackwell Workstation Edition GPUs and supports multiple standardized rack configurations, including full-rack (19-inch), half-rack, and 2U-height designs, ensuring seamless integration into existing industrial setups. Flexible mounting options, including wall and desk mounts, further enhance adaptability. The renowned ASUS Q-Release Slim design simplifies maintenance with tool-free removal of graphics cards, reducing mechanical risks. To safeguard critical data, the RUC-1000G complies with IEC 62443-4-1 cybersecurity standards, providing robust protection against cyber threats. Additionally, the integrated iBMC module supports out-of-band (OOB) management, enabling remote monitoring, rapid system recovery, and reduced operational downtime.

Revolutionize industry with edge AI

ASUS IoT RUC-1000G is the world's first edge AI GPU computer supporting 600W GPUs with PCIe 5.0, achieving up to 4000 TOPS of AI performance – and enabling ultra-fast AI training and real-time inference for complex workloads. It features an Intel® Core™ Ultra 200S series processor, up to 64GB DDR5 memory, and multiple M.2 slots for expanded storage and connectivity. With rich I/O, including 10GbE LAN and ignition power control, RUC-1000G is built for server-grade high-performance industrial AI computing including machine vision, autonomous vehicle and intelligent video analytics in flexible configurations.

Unmatched AI performance

• Up to 4000 TOPS
• NVIDIA RTX PRO™ 6000 GPU
• 600W GPU in 2U
• PCIe 5.0 Support
• 10G + 2x 2.5G High-Speed Ethernet Ports

Modular and standardized configuration

RUC-1000G provides modulization design to accommodate diverse customer needs. Users can customize the assembly of this powerful edge AI computer based on space constraints, mounting points, or specific application demands.

• Rack-mount method suggested for factory automation
• Horizontal-mounting method suggested for central control-room cabinet
• Vertical-mounting method suggested for autonomous vehicle

Rich I/O for expandability

• 4x RS-232
• 4x USB 3.2 GEN2
• Remote switch
• 8V-48V DC-IN
• Power button
• MIC-IN / LINE-OUT
• 2x RS-232/422/485
• 6x USB 3.2 GEN2
• 2x 2.5GbE LAN
• HDMI / DP2
• DP1
• 10GbE LAN
• PCIe x4
• 1x PCIe x16 or 2x PCIe x8

Advanced thermal design for stability

RUC-1000G benefits from an innovative heat-dissipation system, which isolates the main system from the GPU chassis, ensuring unthrottled performance even in harsh industrial environments.

Engineered for the extreme

RUC-1000G is engineered for perception AI and computer vision applications in the most demanding industrial environments. Built to thrive where others fail, it delivers unwavering performance in extreme temperatures (-25°C to 60°C) and boasts MIL-STD-810H certification for exceptional ruggedness. Its 8-48V wide-range DC-in with ignition control ensures reliable power delivery, making it the ideal solution for mission-critical deployments.

• -25°C to 60°C temperatures
• Ignition power control
• 8-48V Range DC-in
• IEC 62443-4-1
• MIL-STD-810H compliant

Comprehensive software-management toolkit

• RUC-1000G integrates ASUS IoT Cloud Console (AICC) — a centralized platform for managing and analyzing IoT device data across various OS environments. With an intuitive UI and robust encryption, AICC empowers users to manage edge deployments in transportation, smart cities, and beyond.
• It also supports an iBMC module with out-of-band (OOB) management for remote monitoring, quick system recovery, and reduced downtime — ideal for smart factory operations.

ASUS synergy in RUC design expertise

The ASUS IoT RUC series embodies wider cross-domain innovation by ASUS through integrating technologies and expertise from multiple, diverse product lines. It leverages high-performance computing and high-speed I/O interface designs from ASUS AI servers, and incorporates the Q-Release Slim mechanism — a popular feature of ASUS motherboards — for tool-free GPU removal, reducing maintenance complexity and mechanical risk. In addition, ASUS IoT contributes robust hardware development and rigorous industry-standard verification processes. Early engagement with leading GPU vendors also ensures timely design validation and seamless integration of next-generation graphics cards.

Versatile industrial AI applications

Machine vision

• High-performance GPUs support deep-learning image recognition and real-time inspection
• PCIe 5.0 for frame grabbers and motion-control integration
• Rich I/O: USB, PoE, and isolated DIO for flexible camera and sensor connections
• MIL-STD-810H-certified ruggedness for factory-floor deployment

Autonomous vehicles

• Real-time AI inference with up to 600W GPU support
• Wide 8–48V DC-in with ignition control for in-vehicle use
• Connectivity for LiDAR, mmWave radar, and CAN bus for full sensor integration
• Vibration-resistant half-rack design ideal for mobile deployment

Intelligent video analytics

• Designed for edge inference in smart cities and public-safety monitoring
• Supports PoE for IP camera deployment and USB for peripheral flexibility
• Reliable connectivity via M.2 LTE/5GNR/WiFi 6 modules
• Fanless thermal design supports stable operation in harsh outdoor environments