Dell has launched a new high-density AI and supercomputing server designed to handle some of the world’s most demanding scientific and enterprise workloads.
Announced at ISC in Hamburg, Germany, the new Dell PowerEdge XE8812 joins the Dell AI Factory with NVIDIA and is built around NVIDIA’s Vera Rubin NVL4 architecture.
The system can support up to 144 GPUs per rack, giving research institutions, enterprises, and governments a more compact way to run large-scale AI training, inference, and high-performance computing workloads.
The server is aimed at organizations working on problems that require extreme computing power, including molecular simulations, multi-physics modeling, genomic research, industrial design, and sovereign AI infrastructure.
The Dell PowerEdge XE8812 is a fanless, direct liquid-cooled server designed for dense AI and HPC deployments.
Unlike conventional servers that rely heavily on air cooling, the system uses direct liquid cooling for CPUs and GPUs, helping manage the heat generated by large-scale accelerated computing systems.
According to Dell, the move from NVIDIA GB200 NVL4 to NVIDIA Vera Rubin NVL4 brought expanded host memory, more CPU cores, more GPU memory, and higher compute capability.
The company claimed this will allow organizations to run larger AI models and simulations entirely in memory, reducing the need to constantly move data between storage and compute systems.
The system is also designed around an ORv3-style rack, with support for more than 300kW of power and up to 144 GPUs per rack. Dell says this makes it one of the densest platforms in the industry.
The new server promises 50 percent more memory per socket and more GPU memory compared to the previous generation.
This increase is intended to support larger simulations and models without staging or swapping, both of which can introduce latency and lower effective bandwidth.
Dell is also emphasizing easier deployment. Through Dell PowerRack integration and Dell ProDeploy services, the company says customers can receive factory-integrated, pre-validated rack-scale systems that reduce setup complexity.
According to Dell, these systems can be deployed and running live workloads in just over six hours.
Dell revealed more than 5,000 customers are already deploying the Dell AI Factory globally.
The company pointed to several major projects using Dell and NVIDIA infrastructure, including the Doudna supercomputer at Lawrence Berkeley National Laboratory, InstaDeep’s Kyber cluster in France, genome work at the Wellcome Sanger Institute in the UK, and Monash University’s MAVERIC supercomputer in Australia.
“The institutions doing the world’s most important research like decoding the human genome, modeling the energy systems of the future and building the sovereign AI infrastructure that nations depend on deserve infrastructure that matches the ambition of their work,” said Arun Narayanan, senior vice president, Compute and Networking, Dell Technologies.
“The Dell PowerEdge XE8812 reflects Dell’s commitment to pushing the boundaries of what’s possible, giving these organizations the density, memory and open architecture they need to tackle workloads that once seemed impossible,” he added.
The Dell PowerEdge XE8812 will be available globally early next year.
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Atharva is a full-time content writer with a post-graduate degree in media & amp; entertainment and a graduate degree in electronics & telecommunications. He has written in the sports and technology domains respectively. In his leisure time, Atharva loves learning about digital marketing and watching soccer matches. His main goal behind joining Interesting Engineering is to learn more about how the recent technological advancements are helping human beings on both societal and individual levels in their daily lives.
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