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The NSF State and Regional Artificial Intelligence Infrastructure Hubs program (NSF 26-513) funds state or multi-state regional consortia that combine university, industry, philanthropic, and government partners to widen access to AI computing infrastructure for scientific research.
The program's central premise is that the bottleneck in AI-enabled science is no longer algorithms but access - many institutions, particularly community colleges, primarily undergraduate institutions, and smaller universities, cannot reach the compute, data, and expertise that frontier AI research requires.
The distinguishing and easily missed feature of this solicitation is what NSF will and will not pay for: NSF funds the coordination layer - consortium governance, workforce development for AI infrastructure professionals such as research software engineers and system administrators, and faculty training - but it does not fund the purchase of computing hardware, data resources, or software licenses.
Consortia must demonstrate that they have independently secured those resources from state governments, industry partners, or philanthropy. This makes the program a poor fit for a single institution seeking a GPU cluster and a strong fit for a coalition that already has infrastructure commitments and needs the connective tissue to make them usable across institution types.
Awards run $4,000,000 to $12,000,000 over five years, with roughly 10 awards per cycle. Deadlines are 4 November 2026 and 3 November 2027, recurring on the first Wednesday in November annually.
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Or search similar grants →According to the current listing, eligibility includes: Proposals may be submitted by accredited U.S. institutions of higher education, including two- and four-year colleges and community colleges, and by U.S.-based nonprofit non-academic organizations such as museums, observatories, research laboratories, and professional societies. There is a limit of one proposal per organization, and an individual may serve as PI or co-PI on only one proposal per deadline. Proposals must demonstrate a state or multi-state regional consortium structure with committed partners, and must show that computing, data, and software resources have been secured from sources other than this NSF award. Deadlines are 4 November 2026 and 3 November 2027. Confirm the full requirements in the official notice before applying.
The current listing shows awards range from a minimum of $4,000,000 to a maximum of $12,000,000 over a five-year project period. NSF expects to make approximately 10 awards per competition cycle. Note that NSF funds consortium coordination, workforce development, and faculty training - it does not fund the acquisition of computing hardware, data, or software, which consortia must secure independently from state, industry, or philanthropic partners. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NSF State and Regional Artificial Intelligence Infrastructure Hubs NSF 26-513 for Expanding Access to Compute for Scientific Discovery are due November 4, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NSF State and Regional Artificial Intelligence Infrastructure Hubs NSF 26-513 for Expanding Access to Compute for Scientific Discovery is funded by U.S. National Science Foundation (NSF), Directorate for Computer and Information Science and Engineering with the Directorate for STEM Education and the Directorate for Technology, Innovation and Partnerships. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
The ONR Long Range Broad Agency Announcement (N00014-25-S-B001) is the Office of Naval Research's primary mechanism for soliciting research proposals across all naval science and technology priority areas. The BAA accepts proposals on a rolling basis through September 30, 2026 and covers ONR's full spectrum of research interests with particular emphasis on AI-related topics including autonomous maritime systems, human-machine teaming, machine learning for sensor fusion, cooperative autonomous swarm technology, undersea autonomy, and AI-enabled decision superiority. Proposals can be funded through multiple mechanisms including individual investigator grants, the Young Investigator Program (~$510K over 3 years for early-career faculty), and Multidisciplinary University Research Initiative (MURI) awards ($1.5M/year for 3-5 years for research teams). ONR recommends contacting relevant program officers before submitting to discuss alignment with current research priorities. The BAA supports basic research (6.1), applied research (6.2), and advanced technology development (6.3) across the full range of naval-relevant science and engineering disciplines.
PRIMED-AI is a new NIH Common Fund programme, Precision Medicine with AI: Integrating Imaging with Multimodal Data, which combines medical imaging with other health data to build AI-powered clinical decision support tools for personalised medicine. This opportunity, RFA-RM-27-014, funds the programme's Validation Center: a dedicated hub that independently evaluates and characterises the AI-enabled, image-based multimodal clinical decision support tools developed elsewhere in the consortium. The structural logic matters for applicants. NIH has separated tool-building from tool-validation and is paying separately for the second, which signals institutional recognition that self-reported performance claims from developing teams are not sufficient evidence for clinical AI. The Center's remit covers verification, validation, interoperability and uncertainty quantification, so the deliverable is a reproducible evaluation capability rather than a set of papers. It operates as a U54 cooperative agreement, meaning NIH staff are substantively involved and the Center must work in concert with the PRIMED-AI Logistics Center and the Data-to-Model and Model-to-Clinic award recipients. The RFA was released on 30 June 2026 with applications due 2 October 2026. For academic groups that have built credible AI evaluation methodology, particularly in radiology, imaging informatics or biostatistics, this is an unusually direct route to becoming the reference evaluator for a major federal AI health programme, and the position carries influence over how clinical AI performance gets measured well beyond the life of the award.
RFA-RM-27-015 funds a single Logistics Center as the coordinating hub of the NIH Common Fund's PRIMED-AI program, Precision Medicine with AI: Integrating Imaging with Multimodal Data. The award is a cooperative agreement, meaning substantial NIH scientific and programmatic involvement is built in rather than incidental, and it is administered by NIBIB on behalf of the Common Fund. The Center operates through three integrated cores: Administration, which runs the steering committees and develops consortium policies; Evaluation, which assesses progress across the funded portfolio; and Outreach, which maintains a web portal for sharing AI-based clinical decision support tools and facilitates engagement between researchers, clinicians and patient communities. The strategic point for applicants is that this is the only coordinating award in a multi-award program whose other components, the Data-to-Model Academic-Industrial Partnerships, Model-to-Clinic and Multi-use Frameworks Playbook RFAs, are separately competed and separately funded. The Logistics Center therefore does not generate its own AI models; it is scored on its capacity to run a consortium, set data and tool-sharing policy, and build infrastructure that makes other teams' clinical decision support tools discoverable and reusable. Applications are due by 5:00 PM local time of the applicant organization on the date specified for the relevant review cycle, with an earliest project start date of 2 October 2026 and a maximum project period of five years.
RET Sites close October 14, 2026 — about nine awards from $5.8 million, capped at $600,000 over three years, with a PI eligibility rule that disqualifies most of the people who write outreach proposals. RET Supplements reach the same money for $15,000 a teacher and are not a competition.
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