The purchase is expected to triple the university's supercomputing capacity, Texas A&M said in a press release. It will put the Texas school on the map as the holder of one of the highest-operating AI supercomputers of any university in North America, according to the press release.
"This investment will triple our computing capacity, which will support the A& M System's growing research initiatives, particularly in areas such as machine learning, generative AI applications, graphics rendering and scientific simulations," the university's Chancellor John Sharp said.
Sharp said the university plans to use this supercomputer to contribute to Texas's economic growth and technological advancements.
The model is the NVIDIA DGX SuperPOD with DGX H200 systems. It is part of a $45 million agreement with World Wide Technologies Inc., a NVIDIA channel partner.
Other universities have made moves to acquire the world's top supercomputers with the evolution of AI, including the University of Florida, which spent $24 million on an advanced supercomputer. The University of Chicago also recently opened its exascale supercomputer to researchers.
With AI quickly deepening its hold on society, universities have been calculating how to stay ahead of the curve. Just last year, the University of Texas at San Antonio opened a new college for AI, data science and computing.
While AI could lead to slight decreases in the number of jobs in fields such as sales, there are expected to be increases in employment in software publishing, computing infrastructure providers and more over the next decade, according to the U.S. Bureau of Labor Statistics.
Software development is expected to be the 12th fastest growing individual overall in the next decade, the Bureau of Labor reported.
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