The sovereign AI factory will enable the University of Utah to improve the understanding of cancer

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The sovereign AI factory will enable the University of Utah to improve the understanding of cancer, Alzheimer’s, mental health, and genetics by applying generative AI, agentic AI, and other AI technologies.

The deployment is part of a State of Utah initiative to boost economic development by expanding AI infrastructure capabilities to attract new businesses and workforce talent.

Built by HPE with an NVIDIA AI Computing by HPE solution, the University of Utah gains an integrated, full stack sovereign AI infrastructure, delivered via HPE GreenLake cloud and supported through HPE services, to handle public entity data processing within an environment built for data control, sovereignty, policy compliance, and security.

WASHINGTON, D.C. – October 28, 2025 –  NVIDIA GTC DC 2025 – HPE (NYSE: HPE) today announced an expanded NVIDIA AI Computing by HPE portfolio, designed to make AI easier to deploy and scale across governments, regulated industries, and enterprises. The expanded offering helps organizations build secure, private AI infrastructure faster and more efficiently through turnkey AI factory solutions, unified data strategies, and refreshed server platforms featuring the latest NVIDIA AI infrastructure and software.

AI adoption is surging across sectors, but nearly 60 percent of organizations have fragmented AI goals and strategies and just as many lack comprehensive data management for AI, according to the 2025 Architecting an AI Advantage report1. HPE and NVIDIA are working together to tackle these challenges with a comprehensive suite of HPE solutions for AI factories, spanning developers to sovereign AI cloud builders, enabling organizations to develop a holistic AI infrastructure strategy.

HPE and NVIDIA are working together to tackle these challenges with a comprehensive suite of HPE solutions for AI factories, spanning developers to sovereign AI cloud builders, enabling organizations to develop a holistic AI infrastructure strategy. Secure, Scalable AI Factories for Enterprise and Government; The second generation of HPE Private Cloud AI, co-developed with NVIDIA as part of the NVIDIA AI computing by HPE portfolio, is now available in a small form factor for accelerating AI time-to-value for every enterprise. New capabilities and offerings for the turnkey AI factory include: Industry-leading AI Performance: HPE Private Cloud AI now features the new ProLiant Compute DL380a Gen12 servers and NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, which deliver three times better price-to-performance for enterprise AI workloads2.

“Climate disasters are not a matter of if, but when, demanding a proactive, hands-on approach to help residents find shelter or evacuate. Weather is unpredictable, but we don’t have to be,” continued Forrest.

Further, as AI adoption accelerates and is projected to consume nearly half of all data center electricity by the end of 20252, the Town of Vail will run the AI platform on a sustainably operated data center. By using renewable infrastructure to support AI workloads, the town illustrates how municipalities can deploy AI responsibly without compromising climate goals.

Next-generation Private Cloud AI

The refreshed HPE Private Cloud AI incorporates NVIDIA Blackwell accelerated computing within the HPE ProLiant Compute Gen12 servers, which have demonstrated top performance in 23 AI benchmarking tests.

New features include secure enclaves, post-quantum cryptography, and a trusted supply chain. The system is designed to provide seamless scalability across GPU generations and supports varied workloads, including agentic and physical AI use cases.

The Private Cloud AI offering now features federated architecture, air-gapped management for organisations needing enhanced data privacy, multi-tenancy for team collaboration, and access to the latest NVIDIA AI Blueprints.

A "try and buy" programme allows potential customers to test the solution in Equinix's network of high-performance data centres prior to purchase.

 By - Aaradhay Sharma