Dell PowerEdge XE8812 Server Packs 144 GPUs Per Rack

Dell Technologies is responding to rapidly expanding demand for artificial intelligence infrastructure with the new PowerEdge XE8812 server, capable of housing 144 GPUs per rack. Designed for high-performance computing and AI workloads, the XE8812 features NVIDIA Vera Rubin NVL4 architecture and aims to address the growing scale of complex simulations and data processing. This announcement arrives as AI investment is projected to grow 44 percent year-over-year in 2026, with 87 percent of organizations identifying innovation and AI as key to their business strategy. Arun Narayanan, senior vice president, Compute and Networking, Dell Technologies, stated this reflects the company’s focus on supporting advanced scientific endeavors.

Dell PowerEdge XE8812 Server with NVIDIA Vera Rubin NVL4 Architecture

A single Dell PowerEdge XE8812 server can now house 144 GPUs, a density previously unattainable and signaling a substantial leap forward for high-performance computing and artificial intelligence applications. Dell Technologies unveiled the new server at the ISC conference, positioning it as a core component of the Dell AI Factory with NVIDIA, designed to address the escalating demands of complex workloads. This is not merely an incremental upgrade; the XE8812 leverages NVIDIA Vera Rubin NVL4 architecture, delivering expanded host memory, increasing core counts from 144 to 176, and significantly more GPU memory compared to previous generations. This shift to the new architecture allows organizations to run their largest models and simulations entirely in-memory, unlocking increased processing power. Dell is responding to this need by providing infrastructure capable of translating ambitious AI and simulation goals into tangible results at scale. The fanless, direct liquid cooling system incorporated into the XE8812 is specifically engineered for institutions tackling demanding tasks, such as molecular and multi-physics simulations.

Paired with NVIDIA CUDA-X libraries, the platform offers a generational leap in compute density and memory capacity, crucial for handling increasingly complex datasets. Momentum around the Dell AI Factory is already evident, with over 5,000 customers currently deploying the system globally for diverse applications ranging from sovereign AI infrastructure to AI-driven engineering and genomic science. Chris Marriott, vice president, Enterprise Platforms, NVIDIA, explained that the Dell PowerEdge XE8812 reflects Dell’s commitment to pushing the boundaries of what’s possible, giving organizations the density, memory, and open architecture they need to tackle workloads that once seemed impossible. Marriott added that the convergence of AI and HPC is redefining expectations for infrastructure, and that Dell and NVIDIA are raising that bar together, combining NVIDIA Vera Rubin NVL4 architecture and CUDA-X libraries with Dell’s engineering and at-scale deployment expertise to provide the performance, efficiency, and openness required for the world’s most demanding AI and scientific computing workloads.

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.

Arun Narayanan, senior vice president, Compute and Networking, Dell Technologies
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Ivy Delaney

We've seen the rise of AI over the last few short years with the rise of the LLM and companies such as Open AI with its ChatGPT service. Ivy has been working with Neural Networks, Machine Learning and AI since the mid nineties and talk about the latest exciting developments in the field.

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