There is surging demand among AI researchers for access to the high-performance computing (HPC) systems that are necessary to solve tough computational problems on everything from human genetics to the climate. Unfortunately, the supply of HPC resources has not kept up with this growing demand. For example, there is a significant amount of AI research being conducted in Alabama, Indiana, Utah, and Georgia, but all four of those states lack sufficient HPC resources. Even worse, the National Science Foundation (NSF) has reduced its investment in HPC systems considerably over the last decade. Whether policymakers act to address the growing gap between HPC supply and demand will determine how well-equipped AI researchers are to address important societal challenges and maintain U.S. competitiveness in AI.
ITIF's Center for Data Innovation hosted a discussion on a new report exploring what steps Congress, the NSF, and the U.S. Department of Energy (DOE) should take to increase access to HPC resources for AI researchers in the United States.
Watch on the Center for Data Innovation's website.