Dell Technologies has announced the PowerEdge XE8812, a new addition to the Dell AI Factory with NVIDIA portfolio designed for high-performance computing (HPC) and artificial intelligence (AI) workloads. Built on NVIDIA Vera Rubin NVL4 architecture, the platform supports up to 144 GPUs per rack and targets organizations running large-scale AI training, inference, engineering simulations, and scientific computing workloads.
The launch comes as Dell AI Factory deployments continue to expand globally across sovereign AI initiatives, engineering and design workflows, and genomic research.
Dell PowerEdge XE8812
The fanless, direct liquid-cooled PowerEdge XE8812 is designed for demanding HPC and AI applications, including molecular and multi-physics simulations. The platform combines NVIDIA Vera Rubin NVL4 architecture with NVIDIA CUDA-X libraries, allowing organizations to run larger AI models and simulations entirely in memory.
Compared to systems based on NVIDIA GB200 NVL4 architecture, the new platform delivers:
- Expanded host memory
- CPU core count increased from 144 to 176 cores
- Higher GPU memory capacity
- Increased compute performance
These upgrades are intended to support larger workloads while reducing dependence on data movement between storage and memory.
Key Features
High-density rack design
Dell says the PowerEdge XE8812 will be available in an ORv3-style rack configuration designed for high-density AI and HPC deployments. Key specifications include:
- Up to 144 GPUs per rack
- More than 300kW power capacity
- 100% direct liquid cooling for CPUs and GPUs
- ORv3-based rack architecture
The liquid-cooled design supports high compute density while improving cooling and power efficiency.
Expanded memory capacity
The platform delivers 50% more memory per socket and higher GPU memory capacity compared to the previous generation. This allows larger AI models and simulations to remain fully in memory, reducing the need for staging data from storage or host memory and minimizing swapping operations that can introduce latency and reduce available bandwidth.
Open architecture and system management
Built on the Open Rack Version 3 (ORv3) standard, the platform is designed to support modular deployment and operational efficiency.
Management tools include:
- Integrated Dell Remote Access Controller (iDRAC)
- Dell Integrated Rack Controller
- OpenManage Enterprise
These tools provide remote management, monitoring, telemetry, and automated leak detection.
Rack-scale deployment
Dell PowerRack provides factory-integrated and pre-validated rack-scale systems for organizations deploying large AI and HPC environments. Combined with Dell ProDeploy services, the solution is designed to reduce deployment complexity and shorten time to production.
The approach replaces much of the manual integration traditionally required for large-scale deployments. According to Dell, production-ready racks can be deployed and running workloads in just over six hours.
Dell AI Factory Deployments
Dell says more than 5,000 customers worldwide have deployed Dell AI Factory solutions across AI, engineering, sovereign AI, and scientific workloads.
United States
Dell, NVIDIA, and NERSC are building the Doudna supercomputer at Lawrence Berkeley National Laboratory.
The system will feature:
- Dell PowerEdge XE8812 servers
- NVIDIA Vera Rubin NVL4 architecture
- NVIDIA Quantum-X800 InfiniBand networking
It is designed to support AI training, inference, HPC simulations, and data-intensive scientific research spanning fields from molecular science to astronomy.
France
Dell and NVIDIA are supporting AI company InstaDeep as it expands its Kyber supercomputing cluster using Dell AI Factory infrastructure.
The cluster is expected to deliver approximately 0.5 exaFLOPs of FP16 performance and will be used for:
- Large-scale AI model training
- Industrial design workloads
- Automated printed circuit board design
United Kingdom
The Wellcome Sanger Institute is using Dell PowerEdge XE-Series servers with NVIDIA GPUs for large-scale genomic research.
The institute currently:
- Produces one fully assembled genome every seven hours
- Manages more than 100 petabytes of curated genetic data on-premises
- Has contributed over 70% of genomes to the Earth BioGenome Project
Australia
Monash University, in collaboration with Dell, NVIDIA, and CDC Data Centres, has deployed the MAVERIC supercomputer.
The system combines:
- Liquid-cooled Dell PowerRack infrastructure
- Dell PowerEdge XE9712 servers
- NVIDIA GB200 NVL72 architecture
The system will support AI and data-intensive research in cancer detection, climate action, and genomics.
Availability
Dell says the PowerEdge XE8812 will be available globally early next year.
Speaking on the announcement, Venkat Sitaram, Senior Director and Country Head, Infrastructure Solutions Group, Dell Technologies India, said:
As India advances its AI ambitions and organizations increasingly seek to leverage AI and high-performance computing to drive innovation, the need for scalable, energy-efficient and future-ready infrastructure has never been greater. With the Dell AI Factory with NVIDIA and the introduction of next-generation platforms such as the Dell PowerEdge XE8812, we are enabling enterprises, research institutions and emerging sovereign AI initiatives with the performance, density and open architecture required to address demanding AI and HPC workloads. Dell remains committed to helping customers in India translate AI ambition into real-world outcomes at scale.
Commenting on the announcement, Chris Marriott, Vice President, Enterprise Platforms, NVIDIA, said:
The convergence of AI and HPC is reshaping what organizations can expect from their infrastructure. Dell and NVIDIA are advancing that benchmark together, combining NVIDIA Vera Rubin NVL4 architecture and CUDA-X libraries with Dell’s engineering capabilities and large-scale deployment expertise to deliver the performance, efficiency and openness needed for some of the world’s most demanding AI and scientific computing workloads.