The University of Alabama is a founding partner in the Southeast Region Super-Intelligence Computing Consortium, a group of 15 universities across 10 states that plan to share advanced computing resources for artificial intelligence research.
The consortium was announced Oct. 8 at the White House’s “Science: A New Golden Age Summit” in Washington, D.C., by Michael Kratsios, director of the White House Office of Science and Technology Policy.
“In the age of super intelligence for science, you can’t do frontier science without access to frontier computers,” Kratsios said. “That’s a scarce resource in even shorter supply in an academic or public laboratory, limiting researchers’ ambitions.”
It will operate through a public-private partnership and aims to expand access to industry-scale computing systems that individual universities struggle to build on their own.
The group’s longer-term goal is to develop and operate one or more leadership-class AI computing systems in the Southeast, and also to use the partnership to seek federal, state, philanthropic and industry funding. The 15 universities bring a collective $1 billion in investment for computing infrastructure and research.
Along with the University, founding partners include Auburn University, the University of Mississippi, Mississippi State University, Louisiana State University, the University of Tennessee, Vanderbilt University, the University of Texas at Austin and Texas A&M University. Other members are the universities of Arkansas, Kentucky, Missouri, Oklahoma and South Carolina, along with Oklahoma State University.
The University said it will work with the partners on research, regional innovation and efforts to strengthen the Southeast’s role in science and technology. It has described itself as Alabama’s “future-ready flagship” in the partnership.
The announcement comes as the University is set to open the High Performance Computing and Data Center, a $96 million, 40,000-square-foot facility that is set to open in early 2027. The center is planned to support leadership-class machines and AI research.
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