Official funding announcement — preliminary draft
Funder: U.S. National Science Foundation
Opportunity number: 26-513
Official listed status: posted
Closing information: 2026-11-04 (official deadline clock time and time zone must be checked in NOFO)
Award disclosure: Applicant-level ceiling not stated in the retrieved federal synopsis; verify in full NOFO.
Applicant categories in federal synopsis: Others (see text field entitled "Additional Information on Eligibility" for clarification)
Federal synopsis
The NSF State and Regional AI Infrastructure Hubs program aims to expand access to the compute required for AI-enabled scientific discovery and to transform the research, education, and training opportunities offered by institutions of higher education. AI Infrastructure Hubs will connect researchers to new compute infrastructure that leverages contributions from state governments, research institutions, industry, and philanthropy, accelerating AI-enabled discovery across science and engineering and developing a skilled technical workforce for AI use in the scientific enterprise. The program responds to a core tenet of Science: A New Golden Age to renew America’s research and development (R&D) for changes in today’s scientific enterprise, including the role of AI in laying the foundation for a new era of scientific discovery and the growing role of industry and philanthropy in funding R&D. In response, the Administration’s FY28 R&D Priorities Memorandum called for investing in AI for science as a national mission and expanding the scale of, and flexible access to, advanced compute and data infrastructure that researchers now require for frontier scientific discovery. Each AI Infrastructure Hub will be organized as a flexible state or regional consortium of state and local governments, research institutions, philanthropies, and the private sector. Consortia will be responsible for all funding for new or expanded computing, data, and AI resources, whether on-premises or cloud-based. NSF will fund each Hub’s consortium coordination, AI infrastructure workforce development, and faculty training and coursework development …
Draft intake record. Eligibility, program terms, current amendments and applicant ceiling must be independently verified before publishing.