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Center for Generative AI
World-Class AI Research Center
with a Texas-Sized GPU Cluster
Call for Proposals for Vista GPU Resources

Powering the Future of Generative AI

With a core focus on biosciences, health care, computer vision and Natural Language Processing (NLP), the new center is housed within UT’s interdisciplinary Machine Learning Laboratory (MLL) and co-led by faculty from the Cockrell School of Engineering and the College of Natural Sciences. In recognition of AI’s growth across industries, it also includes faculty members and support from Dell Medical School, as well as researchers from the School of Information and McCombs School of Business.

“UT has established a tremendous foundation in AI,” says MLL Director Adam Klivans. “The Center for GenAI will help us accelerate the process of scientific discovery and find new solutions to major engineering challenges that would otherwise take years of experimental work.”

The growth of ChatGPT and similar generative AI technologies has put pressure on many industry groups, healthcare organizations and public agencies to work with academic institutions to harness AI for innovation. The Texas Center for Generative AI will be powered by a new GPU cluster, called VISTA, among the largest of its kind in academia.

The cluster will comprise 600 NVIDIA H100s GPUs – short for graphics processing units, specialized devices to enable rapid mathematical computations, making them ideal for training AI models. TACC, the Texas Advanced Computing Center, will host and support the cluster.

Listen to short podcast with IFML leaders Adam Klivans, Alex Dimakis and Sanjay Shakkottai. The team discusses IFML's successes over its first 5 years and how the renewed investment from NSF will support the development of generative AI that is open-sourced, enabling broader adoption and innovation across a wide range of fields.

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