AUSTIN, Texas – The University of Texas at Austin is building one of the intellectual world’s most potent centers for artificial intelligence to lead research and provide a variety of partners with top-notch AI infrastructure.
The Center for Generative AI, one of the biggest in universities, will be introduced by UT. It will use a brand-new GPU technology cluster. The cluster will include 600 NVIDIA H100s GPUs, which are tailor-made for graphics processing models and are specialized tools for rapid mathematical computations. As a result, they are perfect for training AI models. The Vista cluster will be hosted and supported by the Texas Advanced Computing Center (TACC).
According to President Jay Hartzell, “Artificial intelligence is necessarily altering our world, and this investment comes at the right time to enable UT to shape the future through our teaching and research.” “UT will be uniquely positioned to accelerate advancements in health care, drug development, supplies, and other industries that could have a profound impact on people and the world thanks to our world-class processing power and scope of AI study experience.” The combination of societal trends and opportunities, our brilliant faculty and strengths as a school, and then our substantial investment in the Center for Generative AI are all major factors in why we have designated 2024 as the Year of AI at UT.
Some business groups, healthcare organizations, and public agencies are under pressure to collaborate with educational institutions to harness AI for innovation as a result of the growth of ChatGPT and similar conceptual artificial technologies. To develop and deploy conceptual AI solutions to complex issues across industries, experts from the center will work with outside partners.
The new center, which will be housed within UT’s interdisciplinary Machine Learning Laboratory and co-led by the Cockrell School of Engineering and the College of Natural Sciences, will have a primary focus on sciences, healthcare, computer vision, and natural language processing (NLP). It even includes faculty members and funding from Dell Medical School, as well as experts from the School of Information and McCombs School of Business, in acknowledgment of AI’s spread across sectors.
According to Alex Dimakis, director of the center and a teacher in the Chandra Family Department of Electrical and Computer Engineering at the Cockrell School, “we believe universities may continue to play a major role in developing AI.” The safest way to fuel the future AI revolution is to use open-source models, available datasets, and multidisciplinary peer-reviewed study. We are excited to be on the cutting edge of relational AI here in Austin because colleges are distinctly suited to form this habitat.
The AI Institute for Foundations of Machine Learning (IFML), which is supported by the National Science Foundation, and TACC’s Frontera, the most potent supercomputer at a U.S. college, are currently located at the university. Leaders of the Center for Generative AI perceive using basic analytic resources to address complex applied problems, bridging academic and commercial objectives for artificial knowledge.
Adam Klivans, a professor in the Department of Computer Science at the College of Natural Sciences and the head of the Machine Learning Laboratory, stated that “UT has built incredibly strong foundations in AI.” “With this expenditure, we can speed up medical breakthroughs and develop fresh answers to significant engineering problems that would otherwise require years of experimental work.”
The facility provides a foundation for developing AI technologies while continuing the momentum created in recent years.
- A new online master’s degree program in AI was unveiled by UT a year ago. It was the first of its kind and the only one offered by an elite institution, and it cost close to $10,000.
- Sanjay Chandra, a student, and his family’s management investment in 2022 opened up new research avenues for AI in the electrical and computer engineering departments of the family. A new partnership in computational oncology and machine learning was also established with a $10 million gift from Dheeraj and Swapna Pandey.
- The National Science Foundation chose UT to guide IFML in 2020. It is housed in the Machine Learning Laboratory, which Amir and Zaib Husain, two alumni, donated $5 million to establish that same year.
- A cross-campus great obstacle initiative called Good Systems, which aims to create moral AI technologies that advance society, was also launched by the university in 2019.
