ASUS Unveils Game-Changing Liquid-Cooled AI Infrastructure Powered by NVIDIA Vera Rubin Platform
ASUS unveiled its fully liquid-cooled AI infrastructure at NVIDIA GTC 2026 (Booth# 421), 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.
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.
Addressing
rigorous data-centre 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 the 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 maximising
value from day one.
To support these
powerful systems and democratize AI development, ASUS has also 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.
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