NSF’s State and Regional Artificial Intelligence Infrastructure Hubs fund consortia to build advanced AI research infrastructure and workforce training across states and territories.
Funder: U.S. National Science Foundation
Due Dates: November 4, 2026 (Full proposal) | November 3, 2027 (Full proposal)
Funding Amounts: Typically $4 million–$12 million over five years per Hub; approximately $100 million total program funding
Summary: Supports state and regional consortia expanding access to AI infrastructure for scientific discovery, workforce development, and faculty training.
Key Information: Consortia must separately fund AI infrastructure; NSF supports coordination, partnerships, workforce development, and instructional activities.
The NSF State and Regional AI Infrastructure Hubs program expands access to computing, data, and software for AI-enabled scientific discovery across science and engineering. Led by NSF’s Directorate for Computer and Information Science and Engineering, with the STEM Education and Technology, Innovation and Partnerships directorates, it supports state or multi-state consortia of higher education institutions working with industry, philanthropy, and government partners.
Hubs will connect researchers, educators, and students with infrastructure supported by consortium resources. NSF funding supports consortium coordination, regional partnerships, AI infrastructure professionals, faculty training, and instructional material development. The program seeks to broaden access across institution types and sizes, including smaller institutions and community and technical colleges, while building a workforce equipped to use AI for science. Hubs are expected to engage with the National Artificial Intelligence Research Resource (NAIRR) to share resources, experiences, and lessons learned.