What it means to be an AI university

University of Florida Provost Joe Glover recently sat down with NVIDIA’s AI Podcast host Noah Kravitz to discuss the university’s efforts to build the first AI university in the country. Central to that effort is UF’s push to apply AI teaching across the full breadth of curriculum at UF.

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Building an AI university

Transforming the Future Workforce

Artificial intelligence is the centerpiece of a major, long-term initiative at the University of Florida that is combining world-class research infrastructure, cutting-edge research, and a transformational approach to curriculum. Its depth is making the university a leader in AI research and development; its breadth will make sure every UF student develops a basic competency in AI - no matter the major.

UF is preparing the workforce to use technology to solve pressing challenges across every industry. Over the next 20 years, AI has the potential to transform every industry field of study, and profession. The University of Florida is providing the state with world-class talent equipped to leverage advanced AI technology to advance knowledge, skills, and experiences across every industry.


The University of Florida’s AI initiative will make UF a national leader in AI and have far-reaching impacts for the university and its students and faculty. Equally important, it will play a crucial role in the transformation of Florida’s economy into a diversified, technology-driven, high-wage economy.


Building future economic growth


Emerging as a national leader in AI development and application


Creating Opportunities for our Students


The centerpiece of this initiative is the most powerful university-owned supercomputer in the U.S. which is made possible by the generosity of NVIDIA and NVIDIA co-founder and UF alumnus Chris Malachowsky. 

NVIDIA is the world leader in the development of processors that were originally designed for displaying realistic graphics. These processors are called GPU for graphics processor units. It was then found that these GPUs are also great for advanced scientific simulation and more recently that they are even better at performing the computing for AI tools and algorithms. 

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