19-inch 2U rugged rack edge AI computer, supporting Intel® Core™ Ultra 200S series CPU, RAID 0/1 and up to 600W GPU with PCIe® 5.0 to delivering up to 4,000 AI TOPS
- Extreme AI performance: Up to 4,000 TOPS for real-time AI at the edge with 600W GPU and PCIe 5.0.
- Rugged and flexible: -25°C to 60°C operation, modular 2U rack-mount design.
- Comprehensive I/O and secure edge: 10GbE, 2.5GbE, USB, COM, plus IEC 62443-4-1 cybersecurity and iBMC.
- Powerful processing and storage: Intel® Core™ Ultra 200S series CPU, dual 2.5-inch SSD/HDD with RAID 0/1.
- Simplified maintenance and power: Tool-free GPU access, 8-48V DC-in with ignition control.
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 series 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.

ASUS IoT RUC-1000 Rugged-Rack Edge AI GPU System Series
Standalone power. Incredible together.
World's First
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Up to 4000
AI TOPs -
600W GPU
in 2U -
PCle 5.0
Support
Revolutionize industry with edge AI

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Up to4000 TOPSNVIDIA RTX PRO™ 6000 GPU
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600W GPUin 2U
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PCIe 5.0Support
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10G + 2x 2.5GHigh-Speed Ethernet Ports
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Rack-mount method suggested for factory automation
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Horizontal-mounting method suggested for central control-room cabinet
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Vertical-mounting method suggested for autonomous vehicle


14x RS-232
24x USB 3.2 GEN2
3Remote switch
48V-48V DC-IN
5Power button
6MIC-IN/LINE-OUT
72x RS-232/422/485
86x USB 3.2 GEN2
92x 2.5GbE LAN
10HDMI/DP2
11DP1
1210GbE LAN
13PCIex4
141x PCIE x16 or 2x PCIe x8
Advanced thermal design for stability

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

Comprehensive
software-management toolkit
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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.
Learn more about AICC -
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
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
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