University of Utah and the State of Utah to accelerate medical research and expand regional economic development with HPE AI Factory sovereign co-engineered with NVIDIA
This week's focus comes to life in HPE's story about the University of Utah and the State of Utah. By deploying an HPE AI Factory sovereign environment co-engineered with NVIDIA, the university will more than triple its computing capacity to advance research in cancer, Alzheimer's, mental health, and genetics. You see how a full-stack HPE solution--HPE Cray XD670 servers, NVIDIA Hopper GPUs, storage, networking, cooling, HPE OpsRamp, and HPE Morpheus--creates an integrated platform for moving AI from experiments to production.
By reading this, you learn how to reimagine your own AI strategy with scalable, compliant infrastructure and how a reseller like us can guide design, deployment, and optimization of an HPE AI Factory tailored to your organization. Contact us to get started today!
What is the University of Utah’s sovereign AI factory and why does it matter?
The University of Utah is deploying a **sovereign AI factory** built by HPE and powered by **NVIDIA AI Computing by HPE**. In practical terms, this is a **full-stack AI infrastructure**—servers, GPUs, storage, networking, advanced cooling, software, and services—delivered and managed through **HPE GreenLake**.
This deployment will **more than triple the university’s computing capacity**, which is a major step up for:
- Medical research: Applying generative and agentic AI to better understand cancer, Alzheimer’s, mental health, and genetics.
- Scientific discovery across disciplines: Supporting large language models (LLMs), NLP, multimodal AI, and other emerging workloads.
- Regional economic development: Serving as a core part of the State of Utah’s initiative to expand AI infrastructure, attract new businesses, and draw in workforce talent.
Because it is a **sovereign** AI factory, it is specifically designed for a public sector environment with:
- Complete data control and sovereignty
- Policy and regulatory compliance
- Security for sensitive public and research data
The result is an AI platform that helps the university reimagine how it conducts research, collaborates with industry, and contributes to Utah’s broader innovation ecosystem—while keeping data governance at the center.
How does this AI infrastructure support compliance, security, and cost control?
The University of Utah’s AI factory is designed from the ground up to balance **performance, governance, and cost-efficiency**.
Data governance and security
- Built as a sovereign AI solution for a public entity, with data control, sovereignty, and policy compliance as core design principles.
- Delivered and managed through HPE GreenLake, providing a controlled environment for sensitive public and research data.
- Supported by HPE Services for data center build-out, sovereign AI at scale, and cloud integration, helping ensure secure, compliant operations.
Operational efficiency and cost management
- Uses HPE Cray XD670 servers and NVIDIA Hopper GPUs to handle heavily parallel workloads and large volumes of structured and unstructured data efficiently.
- Incorporates HPE OpsRamp Software and HPE Morpheus Enterprise Software to streamline IT operations and manage multicloud resources on a shared, multitenant research platform.
- Enables the university to bring existing workloads back from the public cloud, with HPE analysis indicating potential cost reductions of up to two-thirds compared to running those workloads in public cloud environments.
- Runs in a DataBank colocation facility selected for its ability to support high-density, energy-efficient workloads close to campus.
Together, these elements give the university a scalable AI environment that is easier to manage, more predictable in cost, and aligned with strict requirements for data protection and compliance.
How will this initiative impact Utah’s economy and innovation ecosystem?
The AI factory at the University of Utah is a key part of a broader **State of Utah initiative** to expand AI infrastructure and stimulate economic growth.
Economic development and talent attraction
- The state aims to make Utah “awash in computing power” by building a robust, scalable AI ecosystem.
- Expanded AI capacity is intended to attract new businesses that rely on advanced computing and AI capabilities.
- The infrastructure helps draw and retain workforce talent in AI, data science, engineering, and healthcare.
Support for research and entrepreneurship
- Provides a shared, multitenant AI platform for the entire higher education system in Utah, not just a single department or lab.
- Enables research that can lead to new healthcare treatments and technologies, particularly in cancer, Alzheimer’s, mental health, and genetics.
- Creates an innovation showcase at the DataBank colocation data center for both the university and the broader community.
Philanthropic and institutional backing
- A lead philanthropic gift from Brynn and Peter Huntsman and the Huntsman Family Foundation is helping jump-start the initiative and encouraging additional support.
- The project builds on the University of Utah’s legacy in graphics, computing, and interdisciplinary strength in medicine, engineering, and data science.
Overall, the initiative is designed to help Utah rethink how AI infrastructure underpins research, education, and entrepreneurship—creating a foundation for long-term regional economic development.
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