Posted opportunity — confirm at source
U.S. National Science Foundation State and Regional Artificial Intelligence Infrastructure Hubs:
U.S. National Science Foundation · 26-513
See source for award amount
2026-11-04-00-00-00
Confirm exact timezone in the announcement.Others (see text field entitled "Additional Information on Eligibility" for clarification)
Geographic eligibility and all attachment-specific conditions require review of the original announcement.
Eligibility details
*Who May Submit Proposals: Proposals may only be submitted by the following: -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. -Institutions of Higher Education (IHEs): Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members. Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of sub-awards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus.
Matching funds & resources
Source matching-funds field: Not Required.
Matching funds and leveraged resources are different requirements. Read the description and reviewed rules below before determining resource commitments.
About this opportunity
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 in leveraging AI for science.
Funding geography: Not specified — review source. A funder’s address does not establish eligibility.
Review original source ↗Funding instrument: Cooperative Agreement. Issuing jurisdiction: Federal. This is not a geographic eligibility determination.
Source fields and evidence
id: 363481
Source ↗ · id
opportunityNumber: 26-513
Source ↗ · opportunityNumber
opportunityTitle: U.S. National Science Foundation State and Regional Artificial Intelligence Infrastructure Hubs:
Source ↗ · opportunityTitle
revision: 3
Source ↗ · revision
agencyDetails: {"code":"NSF","seed":"NSF","agencyName":"U.S. National Science Foundation","agencyCode":"NSF","topAgencyCode":"NSF"}
Source ↗ · agencyDetails
owningAgencyCode: NSF
Source ↗ · owningAgencyCode
cfdas: [{"id":434915,"opportunityId":363481,"cfdaNumber":"47.076","programTitle":"STEM Education (formerly Education and Human Resources)"},{"id":434916,"opportunityId":363481,"cfdaNumber":"47.084","programTitle":"NSF Technology, Innovation, and Partnerships"},{"id":434917,"opportunityId":363481}]
Source ↗ · cfdas
applicantTypes: [{"id":"25","description":"Others (see text field entitled \"Additional Information on Eligibility\" for clarification)"}]
Source ↗ · applicantTypes
applicantEligibilityDesc: *Who May Submit Proposals: Proposals may only be submitted by the following:
-Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities.
-Institutions of Higher Education (IHEs): Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members. Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of sub-awards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus.
Source ↗ · applicantEligibilityDesc
fundingInstruments: [{"id":"CA","description":"Cooperative Agreement"}]
Source ↗ · fundingInstruments
fundingActivityCategories: [{"id":"ST","description":"Science and Technology and other Research and Development"}]
Source ↗ · fundingActivityCategories
awardFloor: none
Source ↗ · awardFloor
awardCeiling: none
Source ↗ · awardCeiling
responseDate: Nov 04, 2026 12:00:00 AM EST
Source ↗ · responseDate
responseDateStr: 2026-11-04-00-00-00
Source ↗ · responseDateStr
costSharing: false
Source ↗ · costSharing
lastUpdatedDate: Oct 05, 2026 12:31:32 PM EDT
Source ↗ · lastUpdatedDate
status: posted
Source ↗ · oppHits[id=363481].oppStatus
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