The University of Florida needed to close an AI skills and research-capacity gap across its colleges, but limited access to AI hardware, software, and AI-trained faculty made it difficult to give every discipline meaningful exposure to modern AI methods.
Reported impact
UF installed the largest AI supercomputer at a university in 90 days, trained a 3.9B-parameter clinical model that cut misclassification by 24 percent, expanded AI coursework across every undergraduate major, and secured funding to hire 100 AI-focused faculty so research and workforce development can scale together.
UF took a whole-university approach to AI by pairing curriculum reform with a shared NVIDIA supercomputing platform. The school created a cross-college steering committee, secured state and donor funding, and then installed HiPerGator AI as an NVIDIA DGX SuperPOD made up of 140 DGX A100 systems plus 17,920 CPUs. That shared compute foundation now supports frontier research such as GatorTron, a 3.9B-parameter clinical language model trained on 82 billion words and electronic health record data, and SynGator, a synthetic clinical data generator. Around the platform, UF launched an AI Research Catalyst Fund, elective AI courses in every undergraduate major, a universitywide AI certificate, a professional microcredential, and large-scale faculty upskilling through NVIDIA’s Deep Learning Institute. The result is an AI education and research operating model that combines centralized compute, new faculty capacity, and curriculum integration instead of isolating AI inside computer science alone.
University datasets and research projects run on HiPerGator AI, DGX A100 systems train models such as GatorTron and SynGator, and the resulting infrastructure and expertise feed back into AI courses, certificates, faculty programs, and interdisciplinary research across UF’s colleges.
Completed in 90 days, the installation became the largest AI supercomputer installed at a university.
More than 10X larger than the second-largest clinical model, it reduced misclassification by 24 percent from BERT-large in the i2b2-2010 named-entity recognition benchmark.
The state of Florida provided $100 million in funding for UF to build a new data center and $15 million per year to hire 100 new AI faculty.
UF was the first university in the country to introduce AI curricula across disciplines, offering elective AI courses in every undergraduate major.
Using their DGX SuperPOD, UF developed the largest clinical language model to date, GatorTron, with 3.9 billion parameters.
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