ASUS unveiled its fully liquid-cooled AI infrastructure at NVIDIA GTC 2026, delivering a comprehensive, end-to-end solution powered by the NVIDIA Vera Rubin platform. Under the theme Trusted AI, Total Flexibility, this customizable framework – from rack-scale AI Factories, desktop AI supercomputing, Edge AI to Enterprise AI solutions – enables enterprises and cloud providers to build high-performance, energy-efficient large-scale AI clusters with unmatched efficiency and dramatically reduced PUE and TCO.
As a provider of NVIDIA GB300 NVL72 and NVIDIA HGX B300 systems, the flagship ASUS offering is the ASUS AI POD built on the NVIDIA Vera Rubin platform – a liquid-cooled, rack-scale powerhouse designed for massive AI workloads. Through strategic partnerships with leading cooling and component providers, ASUS offers diverse cooling modalities, tailored thermal solutions, and redundancy to meet any enterprise requirement. Proven by global client successes, ASUS provides expert consultation, a broad portfolio of AI and storage solutions, seamless infrastructure deployment, application integration, and ongoing services – combining scalability, and sustainability to drive business value and intelligence.
From infrastructure to implementation: The ASUS AI Factory in action
At the forefront is the flagship XA VR721-E3 built on NVIDIA Vera Rubin NVL72, a 100% liquid-cooled rack-scale system. This offers a TDP of up to 227kW (MaxP) or 187kW (MaxQ), delivers up to 10X higher performance per watt, and is purpose-built for trillion-parameter models and delivering massive AI performance for large-scale AI factories. Partnering with Vertiv, a global leader in critical digital infrastructure, Schneider Electric and other leading providers, ASUS delivers a full-stack power and cooling infrastructure designed for zero-throttle performance from standard deployments to advanced liquid cooling, ensuring redundancy for each specific needs.
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Addressing rigorous data-center demands, ASUS also introduces its latest server series built on NVIDIA HGX Rubin NVL8 systems, featuring eight NVIDIA Rubin GPUs connected via sixth-generation NVIDIA NVLink with integrated 800G bandwidth per GPU. To facilitate a seamless and cost-effective transition to liquid cooling, ASUS offers two distinct solutions: the XA NR1I-E12L, an innovative hybrid-cooled option; and the XA NR1I-E12LR, a 100% liquid-cooled system. The hybrid-cooled XA NR1I-E12L specifically combines direct-to-chip (D2C) liquid cooling for the NVIDIA HGX Rubin NVL8 baseboard with air cooling for the dual Intel® Xeon® 6 processors.
The portfolio is further strengthened by high-performance scalable servers like the XA NB3I-E12 built on NVIDIA HGX B300 systems to ensure a solution for every demanding AI workload, the ESC8000A-E13X based on NVIDIA MGX integrated with NVIDIA ConnectX-8 SuperNICs for extreme GPU to GPU connectivity and ESC8000A-E13P accelerated by NVIDIA RTX PRO 4500 Blackwell Server Edition or NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, delivering breakthrough performance for demanding data processing, AI, video, and visual computing workloads in a power efficient design.
The tangible impact of the complete ASUS AI Factory concept is already demonstrated through several successful customer deployments, where ASUS ESC8000 series powered a production-line digital twin built on NVIDIA Omniverse libraries and integrated with NVIDIA’s customizable multi-camera tracking workflow, enabling remote simulation and significantly reducing deployment risks, managing the entire process for seamless, low-disruption deployment and maximizes value from day one.
To support these powerful systems and democratize AI development, ASUS also has established a robust data ecosystem by partnering with NVIDIA-Certified storage providers – including IBM, DDN, WEKA and VAST Data – to deliver scalable, resilient solutions for memory-intensive AI. A full spectrum of storage solutions across block storage-VS320D-RS12, JBOD-VS320D-RS12J, object storage-OJ340A-RS60, and software-defined systems – ensuring flexibility from edge to cloud, and from enterprise applications to AI and HPC workloads.
SOURCE: PRNewswire