Hewlett Packard Enterprise to deploy major AI supercomputer at University of Utah, share access statewide

Steve Heibine, public sector AI chief technologist for Hewlett Packard Enterprise, said the company will team with the University of Utah and the state to install a major AI-focused supercomputer intended for research and statewide access. "Hewlett Packard Enterprise is very excited to be teaming with University of Utah, state of, Utah for the ability to be able to deliver one of the largest AI supercomputers among all of the universities across the U.S.," Heibine said.

Heibine described HPE's institutional role in building large systems — noting the company built early exascale-class systems — and said the new deployment will arrive in phases. "The first equipment starts showing up probably towards the end of January, and we'll be building it across the first half of the year," he said. He added the resource would be available not only to the University of Utah but to other universities in the state.

University and state officials have pitched similar shared infrastructure as a way to attract students, faculty and research funding. Heibine said the cluster is intended to support those goals and to spur economic development across Utah by providing computing resources for research projects and industry collaborations.

The announcement did not specify exact technical specifications, program governance, cost sharing, or formal access rules. Heibine said the machines will be "resources that are not just going to be for the University of Utah, but for all the universities across the state," but staff-level agreements or a timeline for when external researchers can request compute time were not detailed in the panel discussion.

Next steps identified in the panel included equipment delivery and system buildout in the first half of the year. No formal vote or contractual details were presented during the session; panelists framed the project as a public–private collaboration in early stages that will follow with implementation agreements and operational planning.