New case study examines how a supercomputer became a university-wide AI strategy

A new University of Florida case study examines how a major investment in artificial intelligence infrastructure grew into a university-wide initiative spanning teaching, research, workforce development and statewide access to advanced computing.

The case study, Building an AI University: From Infrastructure Gift to Systemic Transformation, by UF marketing professor Michael Carrillo, is scheduled for publication May 27 as the inaugural title in the new Warrington Case Series, published by Warrington Press, an imprint of University of Florida Press. The case is intended as a teaching tool for business, higher education and public-sector leaders studying how large institutions move from technology adoption to organizational change.

At the center of the case is HiPerGator AI, UF’s AI supercomputer, which was completed in 2021. At launch, HiPerGator AI was the most powerful AI supercomputer in higher education and the 22nd most powerful system worldwide. The machine became the foundation for broader investments in AI education, research and workforce training.

The study traces UF’s AI initiative to an $85 million investment that combined a $25 million gift from NVIDIA co-founder and UF alumnus Chris Malachowsky; a $25 million NVIDIA contribution; $15 million from the University of Florida; and $20 million in recurring support from the State of Florida for faculty hiring. The investment supported not only AI infrastructure but also data center expansion, faculty hiring and technical support for researchers using the systems.

By 2025, the study reports that UF had grown to more than 230 AI-designated courses across all 16 colleges, with more than 300 participating faculty and 14,000 annual student enrollments. The university has also implemented a 9-credit university-wide AI certificate open to undergraduates, AI Scholars research pathways and an AI Medallion for graduating seniors who complete coursework, research and experiential learning.

“What was exciting about writing this case was learning how far the influence of an AI supercomputer extends beyond the machine itself," Carrillo said. "The HiPerGator gift was the catalyst, but the transformation depended on precursors that don't come in a crate: executive alignment, resources to help researchers and faculty actually use the system, broad faculty engagement and infrastructure for student learning.

“What ties them together is that every one of those investments was made in service of education,” he said.

The case examines UF’s AI Across the Curriculum model, which aims to integrate AI instruction into every discipline on campus. The framework organizes courses into different levels of AI instruction, from introductory exposure to advanced coursework focused on AI mastery and ethics.

Faculty hiring is another core element of UF’s approach. From 2020 to 2022, UF hired 106 AI-focused faculty across all 16 colleges. The distribution reflects one of the case’s central arguments: UF approached AI as a university-wide capability rather than a narrow computer science initiative.

The case also explores whether UF’s approach could serve as a model for other institutions. A related white paper by Malachowsky, “New Frontier: The 50-State AI Computing Initiative,” proposes partnerships among states, universities, philanthropy, industry and the federal government to expand AI computing infrastructure and education nationwide.

The case is the first publication in the new Warrington Case Series. The publication is expected to be followed by four related micro cases examining the leadership structure behind UF’s AI initiative.