RUC-1000G

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.
RUC-1000G
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.
ASUS IoT RUC-1000G Rugged-Rack Edge AI GPU System stands in the high-tech blue lighting background to show for durability and high performance in demanding environments.

ASUS IoT RUC-1000 Rugged-Rack Edge AI GPU System Series

Standalone power. Incredible together.

Flexible Configuration Design

Promotional image for ASUS IoT RUC-1000 Rugged-Rack Edge AI GPU System Series, showcasing flexible configuration design. From left to right side it shows rack-mount, standalone, standalone+ SSD and horizontal-mounting configs. Product highlights include computing performance up to 4000 AI TOPs, 600W GPU in 2U, and PCIe 5.0 support. Background features a digital blue glowing network pattern conveying advanced technology.

World's First

  • Up to 4000
    AI TOPs

  • 600W GPU
    in 2U

  • PCle 5.0
    Support

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

One graphics card is moving into ASUS IoT RUC-1000G Rugged-Rack Edge AI GPU System to show integration and AI capability
  • 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

    ASUS IoT RUC-1000G displayed against a blue background with server rack scenario, showcasing its size and compatibility for deployment.
  • Horizontal-mounting method suggested for central control-room cabinet

    ASUS IoT RUC-1000G displayed against a blue background with control room cabinet scenario, showcasing its size and compatibility for deployment.
  • Vertical-mounting method suggested for autonomous vehicle

    ASUS IoT RUC-1000G displayed against a blue background with autonomous automotive scenario, showcasing its size and compatibility for deployment.

Rich I/O for expandability

ASUS IoT RUC-1000G has rich I/O ports design for expandability ASUS IoT RUC-1000G has rich I/O ports design for expandability
1 2 3 4 5 6 7 8 9 10 11 12 13 14

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

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.
ASUS IoT RUC-1000G featuring a blue and orange heat source, representing thermal dynamics in a digital environment.

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.
  • ASUS IoT RUC-1000G featuring five rugged designs including wide temperature icon, ignition power control icon, wide power input icon, cybersecurity icon and military standard icon from left to right.

    -25°C to 60°C temperatures

  • ASUS IoT RUC-1000G featuring five rugged designs including wide temperature icon, ignition power control icon, wide power input icon, cybersecurity icon and military standard icon from left to right.

    Ignition power control

  • ASUS IoT RUC-1000G featuring five rugged designs including wide temperature icon, ignition power control icon, wide power input icon, cybersecurity icon and military standard icon from left to right.

    8-48V Range DC-in

  • ASUS IoT RUC-1000G featuring five rugged designs including wide temperature icon, ignition power control icon, wide power input icon, cybersecurity icon and military standard icon from left to right.

    IEC 62443-4-1

  • ASUS IoT RUC-1000G featuring five rugged designs including wide temperature icon, ignition power control icon, wide power input icon, cybersecurity icon and military standard icon from left to right.

    MIL-STD-810H compliant

A person working intently on a computer with a blue background, focused on the screen dashboard.

Comprehensive
software-management toolkit

  • AICC software icon
    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
  • iBMC module icon
    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 logo in the center, surrounding by motherboard, graphics cards, server and indusrial computers sketch, unveils design synergy for RUC-1000 series

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

A machine operates on a conveyor belt, processing items alongside another machine in a factory setting.

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
An autonomous truck driving on a road.

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
An innovative transport system representing the next generation of mobility solutions and smart city

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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  • High-performance processing: Intel® Core™ Ultra 200S series CPU with W880 chipset.
  • Fanless rugged operation: -25°C to 70°C, no fan maintenance.
  • Massive storage: Up to six 2.5" SSDs.
  • Advanced RAID: RAID 0/1/5/10 support.
  • Comprehensive I/O: 10GbE, 2.5GbE, USB, COM ports.
  • Secure edge: IEC 62443-4-1 compliance.
  • Remote management: iBMC remote management.
  • Rugged design: MIL-STD-810H compliance.
  • Wide-range power: 8-48V DC-in.
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Rugged edge AI GPU computer supporting up to dual 450W GPU card with Intel® Core™ Processors Series 2 (Bartlett Lake-S) & 14th/13th/12th Gen Intel® Core™ processor embedded

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최대 450W GPU 카드 및 13세대/12세대 Intel® Core™ 프로세서를 지원하는 견고한 엣지 AI GPU 컴퓨터
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Intel® Core™ Processors Series 2 (Bartlett Lake-S) &14th /13th/ 12th Gen Intel® Core™ rugged edge GPU computer supports up to 220 W GPU and versatile expansion capabilities

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NVIDIA® 또는 Intel® MXM GPU와 13세대 Intel® Core™ 프로세서 기반의 견고한 엣지 AI 컴퓨터

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NVIDIA® 또는 Intel® MXM GPU 및 12세대 Intel® Core™ 프로세서를 지원하는 견고한 팬리스 엣지 AI 컴퓨터
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13세대/12세대 Intel® Core™ CPU, Intel® R680E 칩셋, 2.5인치 핫스왑 HDD 트레이, RAID 0/1 및 최대 200W 그래픽카드를 지원하는 견고한 고성능 엣지 컴퓨터

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13세대/12세대 Intel® Core™ CPU, Intel® R680E 칩셋, 2.5인치 핫스왑 HDD 트레이, RAID 0/1 및 풍부한 I/O를 지원하는 견고한 고성능 엣지 컴퓨터

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10세대 Intel Core-I 및 Xeon 프로세서, 다양한 I/O, 확장 가능한 PCIe 슬롯 3개, AI 추론을 지원하는 지능형 엣지 서버
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ASUS EBS-4U500 제품 시리즈에는 베어본 및 시스템 옵션이 모두 포함되어 있으며, 표준 19인치 4U 랙마운트 섀시(블랙 또는 그레이-화이트 컬러)를 사용합니다. 섀시는 Intel H610, Q670E 또는 R680E 칩셋이 장착된 ATX, Micro-ATX 및 Mini-ITX 마더보드를 지원하며 최대 7개의 풀타입 PCI/PCIe 확장 슬롯을 제공합니다. 업그레이드된 이 새로운 섀시는 조립이 더 쉽고 견고하며 2개의 6025 팬을 위한 장착 위치를 갖추고 있습니다. 또한 300W~1300W 범위의 전력 정격을 갖춘 표준 ATX 전원 공급 장치 또는 미니 리던던트 500W PSU와 호환됩니다.

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  • Intel® Core™ Ultra 200U 프로세서
  • DDR5 6400MHz 메모리
  • DisplayPort, HDMI 디스플레이 출력
  • 듀얼 LAN을 통한 안정적인 네트워킹
  • 다수의 USB, COM 포트를 통한 유연한 I/O 지원
  • 넓은 9–36V DC 입력 범위
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  • Rugged fanless design: For reliable operation.
  • Supports Intel Core Ultra processor (Series 2).
  • High-speed memory: Up to 64 GB DDR5 6400MHz.
  • Rich I/O: 2 x LAN, 7 x USB, 4 x COM.
  • Rich expansion: PoE, CAN bus, COM port modules.
  • Wide voltage range: 9-36V DC-in.
  • Wide temperature range: -20°C to 60°C.
  • Display connectivity: DisplayPort, HDMI.
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Product has High-Definition Multimedia Interface.
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