U.S. National Science Foundation State and Regional Artificial Intelligence Infrastructure Hubs:
U.S. National Science Foundation
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- Posted
- Aug 7, 2026
- Amount
- Typical 5-year request: $4 million to $12 million; program range: $40 million to $100 million
- Full proposal deadline
- Nov 4, 2026 (in 42 days)
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Classification and identifiers
- Solicitation number
- 26-513
- Assistance listing (CFDA)
- 47.076
FundingLandscape analysis
NSF State and Regional Artificial Intelligence Infrastructure Hubs
Treat November 4, 2026 at 5:00 p.m. in the submitting organization's local time as the current full-proposal deadline. Confirm the lead organization, one-proposal institutional limit, consortium commitments, infrastructure availability, regional partner, five-year access plan, required sections, budget, and supplements against NSF 26-513. Reopen the official solicitation before submission because an amendment controls this analysis.
Primary sources verified 2026-08-22.
Why it matters
NSF anticipates $40 million to $100 million for approximately 10 cooperative agreements. That range is the expected program funding, not a guaranteed $100 million pot and not one award. NSF says a typical five-year proposal should request $4 million to $12 million.
This program is not an equipment-acquisition grant. NSF states that its award funds cannot purchase or acquire computing, data, software, networking, storage, cloud, or other artificial-intelligence systems or services. The consortium must provide those infrastructure resources from commitments already in hand or being acquired through other means.
The funded job is to organize broad regional access to AI infrastructure, partnerships, workforce development, and faculty preparation. A proposal needs an operational model for researchers, educators, students, and workforce participants at institutions that might otherwise lack access. Hardware alone does not satisfy that job.
The lead-applicant route is narrower than the partner network. Accredited U.S. two-year and four-year institutions, including community colleges, and U.S. nonprofit nonacademic research or education organizations can lead. State and local governments, industry, and philanthropy can be important partners, but the solicitation does not list them as independent lead applicants.
The one-award-per-state-or-multistate-region design makes consortium boundaries material. NSF expects a state or coherent multistate region, a governance structure, at least one regional industry or nonprofit partner, and access extending beyond the best-resourced institutions. A collection of letters without an operating region and resource-access model is not the same proposal.
The page is also a monitoring asset. The solicitation lists the 2026 deadline, a November 3, 2027 deadline, and annual first-Wednesday-in-November deadlines thereafter. A consortium that cannot document current infrastructure commitments may consider a separate planning proposal under the current PAPPG, then monitor the full-hub cycle rather than forcing an unready 2026 submission.
Program pool versus individual award
- Anticipated program funding range
- $40 million to $100 million, subject to available funds
- Approximate funds described by NSF
- Approximately $100 million available for this program
- Anticipated number of awards
- Approximately 10 cooperative agreements
- Typical five-year request
- $4 million to $12 million
- Expected award duration
- Up to five years
- Awards by geography
- No more than one award per state or multistate region
- Required cost sharing
- Not required; voluntary committed cost sharing is permitted
- Current full-proposal deadline
- November 4, 2026 at 5:00 p.m. in the submitting organization's local time
Who can actually apply
- Accredited U.S. two-year and four-year institutions of higher education, including community colleges, may submit as the lead organization.
- U.S. nonprofit, nonacademic organizations with research or education activities may submit as the lead organization.
- The solicitation does not list state or local governments, for-profit companies, philanthropic organizations, foreign organizations, or individuals as independent lead applicants. Those entities may participate where the proposal and NSF rules allow them as partners, subawardees, vendors, or other collaborators.
- Each proposing institution may submit only one proposal as the lead. An individual may participate in no more than one proposal as PI, co-PI, or other senior/key personnel. Internal selection and personnel conflict checks should happen before proposal development is distributed across the consortium.
- The proposal must represent one state or a coherent multistate region. NSF expects to make no more than one award per state or multistate region, so applicants should define the region and explain why the participating institutions, infrastructure, industry, workforce, and governance form one operating system.
- At least one regional industry or nonprofit partner is required. The solicitation encourages letters documenting roles and commitments. A partner name without a defined contribution, access role, workforce connection, or resource commitment does not establish readiness.
- The consortium must make substantial AI infrastructure available for the proposed five-year period. On-premises and cloud-based resources may be part of the model, but the proposal must document the resources, access, capacity, and commitments rather than budget NSF funds to acquire them.
- Separate collaborative proposals are not permitted. The application uses one lead organization, with other organizations represented through the permitted subaward and partnership structure.
- A planning proposal is a different route governed by the current NSF Proposal and Award Policies and Procedures Guide. It can support consortium formation or planning, but it is not a full Hub award and should not be presented as an automatic preliminary stage.
Deadline, forms, and submission sequence
- Confirm solicitation NSF 26-513 on the NSF program page and Grants.gov opportunity 363481. Record the solicitation version and any amendment date before the team relies on this analysis.
- Choose the legal lead from the listed eligible organizations. Complete an internal one-proposal check for the institution and a one-proposal participation check for every PI, co-PI, and other senior/key person.
- Define one state or coherent multistate region. Map the participating two-year and four-year institutions, nonprofit research or education organizations, AI-intensive universities, minority-serving institutions where relevant, employers, workforce intermediaries, and community partners the operating model will serve.
- Inventory the AI infrastructure the consortium can make available for five years. For each on-premises or cloud resource, record owner, location, capability, capacity, access unit, security or data constraints, availability date, eligible users, support model, planned allocation, and evidence of commitment.
- Remove acquisition costs that NSF explicitly excludes. Do not budget NSF funds for buying compute, data, software, networking, storage, cloud, or other AI systems or services. Reconcile every infrastructure reference with a non-NSF commitment, an existing resource, or another documented acquisition path.
- Design governance and access together. Identify the lead, decision rights, allocation process, user intake, technical support, security and responsible-use controls, dispute path, advisory roles, performance monitoring, and how institutions with fewer resources receive usable access rather than nominal membership.
- Secure at least one regional industry or nonprofit partner and define every partner contribution. Use letters, vendor quotes, or other documentation encouraged by the solicitation to support infrastructure, workforce, curriculum, faculty development, access, and sustainability commitments.
- Build the workforce-development plan around regional demand and practical use of the infrastructure. Identify participants, employers or workforce partners, competencies, learning formats, access support, outputs, and measures. Distinguish workforce training from the faculty-development requirement.
- Plan faculty training and curriculum. NSF expects development or adaptation of five to ten new or enhanced courses, workshops, or other activities over the award period. Record the institutions, faculty audience, delivery method, infrastructure used, adoption support, reusable materials, and timeline for each planned activity.
- Organize the project description around the five required elements: governance, vision, and deliverables; AI infrastructure; partnerships; workforce development; and faculty training plus educational materials. Cross-reference each claim to a named owner, resource, milestone, budget line, and supporting document.
- Prepare the required supplementary table describing roles and responsibilities by organization and the list of participating institutions. Check every name and role against the budget, subawards, facilities, letters, and project description.
- Build the budget for coordination, access enablement, personnel, education, workforce, evaluation, travel, and other allowed project work. Include the required travel connected to the National AI Research Resource activity described by NSF. Keep voluntary contributions distinct from required cost sharing, because NSF does not require cost share.
- Complete all current Research.gov or Grants.gov forms, senior-personnel documents, data-management and mentoring materials when applicable, facilities information, collaborators and affiliations, budget justification, and solicitation-specific supplements under the current PAPPG.
- Submit by November 4, 2026 at 5:00 p.m. in the submitting organization's local time. Preserve the validated receipt, exact submitted files, letters, infrastructure commitments, and source versions, then monitor NSF for amendments and panel communications.
What NSF asks reviewers to evaluate
- NSF applies its standard intellectual merit and broader impacts criteria in addition to the solicitation-specific review elements. The proposal should show both a credible regional operating model and benefits that reach institutions and people who currently lack comparable infrastructure access.
- Reviewers examine governance, roles, deliverables, and the ability to coordinate the Hub across participating organizations. Decision rights, access allocation, technical support, accountability, and a five-year operating plan should agree across the narrative, tables, budget, and letters.
- The infrastructure review centers on adequacy and availability. The proposal must identify resources that can support the proposed users and work, document that they are available or being acquired outside the NSF request, and explain how access will be provided throughout the project.
- The partnership review examines regional commitment, including the required industry or nonprofit participation. Letters and other evidence should support specific resource, workforce, curriculum, access, or sustainability roles rather than repeat a general endorsement.
- The workforce-development review considers whether activities respond to regional needs and use the infrastructure meaningfully. Participant pathway, partner role, training design, access support, outputs, and measures should form one testable plan.
- The faculty-training and educational-materials review considers how the consortium will help faculty use AI infrastructure and integrate it into new or enhanced courses, workshops, or other activities. The expected five to ten activities need owners, audiences, delivery plans, infrastructure access, and adoption support.
- Broader institutional reach is material. Explain how community colleges, minority-serving institutions, and other less-resourced organizations in the region will gain practical access, support, curriculum, and workforce value, without implying that a named institution is eligible for any benefit the proposal has not actually committed to provide.
Readiness checklist
- Verify NSF 26-513 and Grants.gov opportunity 363481.
- Confirm an eligible U.S. lead organization.
- Complete the one-proposal institutional and personnel checks.
- Define one state or coherent multistate region.
- Identify every participating institution and its role.
- Document substantial AI infrastructure for five years.
- Remove prohibited AI-system and service acquisition costs.
- Secure at least one regional industry or nonprofit partner.
- Document infrastructure and partner commitments.
- Design governance, access allocation, support, and accountability.
- Build a regional workforce-development plan.
- Plan five to ten new or enhanced faculty courses, workshops, or other activities.
- Complete the roles-and-responsibilities table.
- Complete the participating-institutions list.
- Reconcile the project description, budget, subawards, and letters.
- Include required National AI Research Resource travel.
- Submit by 5:00 p.m. in the lead organization's local time.
Primary sources
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Analysis change log
- 2026-08-22: Verified NSF 26-513, separated the $40 million to $100 million program range from the typical $4 million to $12 million five-year request, and documented eligibility, infrastructure exclusions, application sections, review factors, and the November 4 deadline.
Amount
Typical 5-year request: $4 million to $12 million; program range: $40 million to $100 million
Who can apply
Lead applicants are accredited U.S. two-year or four-year institutions of higher education, including community colleges, and U.S. nonprofit nonacademic research or education organizations. Government, industry, and philanthropic entities may participate as partners but are not listed as independent lead applicants.
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 f...