The Center for Data Innovation (CDI), a non-profit think tank that studies the intersection of data, technology and public policy, has gone to bat for increased federal funding for ‘center class’ and mid-range HPC systems, contending that “a decade of funding cuts at the National Science Foundation (NSF) has left the United States with an imbalanced portfolio of HPC resources that is failing to meet growing demand among AI researchers who need large amounts of computing power to solve data intensive problems in such fields as engineering, biology, and computer science.”
