Stay Cool, Scale Fast
with NVIDIA HGX™ Rubin 8-GPU AI server

In the fierce race for next-gen AI infrastructure, efficiency, density, and reliability are now must-haves. ASUS delivers the optimized NVIDIA HGX™ architecture with the fully liquid-cooled, and hybrid-cooled rack solution powered by HGX™ Rubin—built for massive reasoning and generative AI. Liquid- or hybird-cooled, it ensures high-volume production, on-time delivery, lower TCO, and unwavering performance. Discover how ASUS + NVIDIA turns AI ambition into reality.
The ASUS AI POD, featuring the NVIDIA Rubin 8-GPU NVL8, set against a seamless sea and sky background

Flexible & Powerful Cooling
Your Choice of Hybrid or 100% Liquid Cooling

Addressing the most rigorous demands of the modern data center, ASUS proudly introduces the fully liquid-cooled, and hybrid-cooled rack solution built on the NVIDIA HGX™ Rubin platform. To ensure a seamless and cost-effective transition to liquid cooling, ASUS offers two distinct solutions tailored to your infrastructure needs.

XR R1I12B-M1BHFS

Hybrid-Cooled Rack Solution
with 3U Hybrid-Cooled Compute Trays

This innovative design combines direct-to-chip (D2C) liquid cooling for the high-performance NVIDIA HGX™ Rubin 8-GPU baseboard with efficient air cooling for the dual Intel® Xeon® 6 processors. It offers a perfect balance of performance and ease of adoption.
Hybrid air-and-liquid cooling solution for AI servers ASUS XA NR1I-E12L 3U AI server featuring NVIDIA HGX™ Rubin NVL8 GPUs with hybrid air-and-liquid cooling

XR R1I12B-M1BLFS

Fully Liquid-Cooled Rack Solution
with 2U Fully Liquid-Cooled Compute Trays

Designed for maximum thermal efficiency and density, this 100% liquid-cooled system is the ultimate solution for handling the most intensive AI workloads in high-density environments.
100% liquid-cooling solution for AI servers ASUS XA NR1I-E12LR 2U AI server featuring NVIDIA HGX™ Rubin NVL8 GPUs with 100% liquid cooling

The Engine of AI Innovation, NVIDIA HGX™ Rubin NVL8

Engineered for massive-scale AI model training, ASUS fully liquid-cooled, and hybrid-cooled rack solution delivers a quantum leap in performance for training and inference.
A close-up view of the NVIDIA Rubin 8-GPU NVL8.

2.3kW

Extreme GPU Power

800G

Ultra-fast GPU Bandwidth

Modular GPU Sled

Built for Serviceability

Maximize Uptime with Modular Architecture and Rapid Serviceability

The modular design philosophy of ASUS fully liquid-cooled, and hybrid-cooled rack solution is centered on minimizing downtime. Components like the CPU sled and NVIDIA Rubin GPU sled are designed for tool-less access, allowing for faster maintenance and upgrades. This focus on rapid serviceability decreases operational interruptions and lowers the total cost of ownership.
An illustration color-coding the modular CPU and GPU sleds within the ASUS XA NR1I-E12LR.

Modular CPU Assembly

Independent GPU Sled

A Complete Rack-Scale Reference Architecture with NVIDIA HGX™ Rubin Platform

Scale from a single server to a fully integrated AI powerhouse with the ASUS AI Factory reference architecture. This pre-validated configuration ensures rapid deployment and optimized performance at the rack level.

Building the Next Frontier of AI

From a single system to an entire rack, ASUS provides the foundational building blocks for your AI ambitions. Our next-generation cooling solutions with NVIDIA HGX™ Rubin platform reduce deployment effort and empower you to build trusted, powerful, and scalable AI infrastructure for the future.
A cluster of ASUS AI infrastructure racks set against an expansive blue background.

FAQ

  • What is the difference between hybrid and fully liquid-cooled HGX™ Rubin servers?
    What is the difference between hybrid and fully liquid-cooled HGX Rubin servers? • Hybrid-Cooled Compute Tray: Combines liquid cooling for the NVIDIA HGX™ 8-GPU baseboard with air cooling for the CPUs. It's ideal for an easy transition to liquid cooling.
    • Fully Liquid-Cooled Compute Tray: Provides 100% liquid cooling for maximum thermal performance and density in demanding data centers.