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This program addresses the sharpest structural inequality in American AI research: access to compute.
NSF proposes to establish as many as ten state or multistate regional AI Infrastructure Hubs that expand access to computing, data and other AI resources, strengthen regional partnerships among research institutions, industry, philanthropy and state and local government, and build the technical workforce needed to support AI-enabled research and education.
There is one design decision that applicants must understand before writing a word, because it inverts the natural assumption about an infrastructure program: NSF funds hub consortium coordination, workforce development and faculty training, but it does not fund the acquisition of computing infrastructure itself.
Consortia must separately secure the actual compute through partnerships with industry, philanthropy, and state and local government. A proposal that budgets for GPUs is misreading the solicitation; a proposal that arrives with signed commitments from a state government, a cloud or hardware partner, and regional philanthropy is reading it correctly.
The second decisive constraint is geographic exclusivity - only one award will be made per state or multi-state region. That converts what looks like an open competition into a series of intra-regional contests, and it means the practical first step for most institutions is not proposal writing but consortium assembly, since a fragmented region that submits three competing proposals is likely to lose to a unified neighbor.
Each PI or co-PI may participate in at most one proposal per deadline, which further pushes toward consolidation. Award sizes run from $4,000,000 to $12,000,000, presumably scaling with regional scope and consortium breadth.
Eligibility extends to two- and four-year institutions including community colleges as well as non-profit non-academic research organizations, and the emphasis on broadening participation suggests that consortia including under-resourced institutions will fare better than those built solely around flagship research universities.
The November 4, 2026 deadline repeats on November 3, 2027 and the first Wednesday in November annually thereafter.
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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-year and four-year colleges and community colleges, and by U.S.-based non-profit non-academic organizations such as museums, observatories, research laboratories and professional societies engaged in educational or research activities. Only one award will be made per state or multi-state region, so applicants should expect to consolidate regional consortia rather than compete against neighboring institutions. Each PI or co-PI may participate in at most one proposal per deadline. Critically, NSF funds only hub consortium coordination, AI infrastructure workforce development and faculty training - not the acquisition of computing infrastructure. Consortia must separately secure funding for computing resources through partnerships with industry, philanthropy and state and local government, and should document those commitments in the proposal. Awards range from $4,000,000 to $12,000,000. The full proposal deadline is November 4, 2026, followed by November 3, 2027 and the first Wednesday in November annually thereafter. 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 per hub. NSF anticipates making approximately 10 awards per competition cycle, with approximately $100,000,000 available for the program overall, subject to the availability of funds. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NSF 26-513 State and Regional Artificial Intelligence Infrastructure Hubs 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 26-513 State and Regional Artificial Intelligence Infrastructure Hubs for Expanding Access to Compute for Scientific Discovery is funded by U.S. National Science Foundation (NSF). 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 NSF Computer and Information Science and Engineering: Future Computing Research (Future CoRe) program (NSF 25-543) supports foundational computing research and education with a strong emphasis on AI and machine learning. The program funds research that advances the foundations of computing including AI/ML theory, algorithms, systems, and applications. Future CoRe supports small to medium-sized research projects that can have significant impact on computing foundations. The program has target dates of February 5, 2026 and September 10, 2026 for proposal submissions (note: these are target dates, not deadlines, meaning proposals may be submitted at any time but will be reviewed in batches around these dates). Investigators may not serve as PI, co-PI, or Senior/Key Personnel on more than two proposals submitted within any consecutive 12-month period across all Future CoRe programs. This is one of NSF's primary mechanisms for funding fundamental AI and machine learning research at U.S. academic institutions, covering areas such as machine learning theory, natural language processing, computer vision, robotics foundations, and human-AI interaction.
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.
DE-FOA-0003600 is the DOE Office of Science's FY 2026 open, rolling solicitation for financial assistance, providing roughly $500 million across seven program areas: Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, Nuclear Physics, and Isotope R&D and Production. AI and machine learning research is supported directly through Advanced Scientific Computing Research, while Biological and Environmental Research funds atmospheric process research, environmental systems process research, and earth-energy systems modeling — making this a major channel for AI-enhanced climate and earth system modeling work. DOE anticipates 200 to 350 new awards ranging from $5,000 to $5 million each, with project periods from six months to five years. The FOA opened September 30, 2025 and accepts applications on a rolling basis through the end of FY 2026.
TCUP lists eight funding tracks and roughly $10.3M a year, but the October 14, 2026 deadline applies to only three of them — CHAI, Pre-TI, and TCUP Partnerships — and each carries a restriction that disqualifies most applicants. Here is the track-by-track math.
Read articleNSF 26-513 makes roughly $100 million available for up to 10 State and Regional AI Infrastructure Hubs at $4M to $12M each over five years. One award per state or multi-state region. One proposal per organization. And NSF is not buying you GPUs — it funds the coordination, the workforce and the faculty training, while the compute has to come from partners you have to already have.
Read articleAs of September 12, NSF had obligated $6.3 billion across 6,200 grants versus $8.1 billion and 8,600 last year. AHRQ has made 61 awards. Judge Allison Burroughs ordered the government to report by September 28 on whether IES will obligate $180 million before it expires. Here is what actually happens to the money on October 1 — and what it means for your FY2027 application.
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