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The NAIRR Pilot is the single most important entry point for US researchers who need serious AI compute and cannot buy it, and its defining characteristic is that you apply for resources, not funding. Led by NSF with 13 federal agencies and 28 industry and non-profit partners, it was created to democratise access to the compute, data and models that otherwise concentrate frontier AI research inside a handful of well-capitalised labs.
The resource catalogue spans GPU clusters (NVIDIA H100 and A100), commercial cloud environments, AI-ready datasets and pre-trained models, drawing on roughly 3. 77 exaFLOPS of federal capacity including DOE national laboratory systems.
A practical detail worth knowing before writing anything: parts of the catalogue - certain pre-trained models, datasets and platforms - are accessible without a formal proposal at all, so the first step should be checking whether what you need already sits behind an open door.
For everything else, the application is deliberately light by federal standards: an electronic form plus a three-page PDF, reviewed by peers against alignment with focus areas, project readiness, technical feasibility, necessity of the requested resources, team expertise and resource justification.
The cycle is monthly and continuous - submissions in by the 15th are typically decided by the end of that month - and the call stays open until the pilot programme ends or all resources are committed, whichever comes first. That last clause is the real deadline.
The pilot has already supported more than 600 research and education projects reaching 6,000 students across all 50 states, and is transitioning toward a permanent operations centre under NSF solicitation 25-546. One administrative trap catches applicants repeatedly: submissions must come from an institutional email address, and personal accounts such as Gmail are rejected outright.
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Or search similar grants →According to the current listing, eligibility includes: Open to US-based researchers and educators at US-based institutions. Eligible institution types are academic institutions, non-profit organisations, federal agencies, federally funded research and development centers (FFRDCs), state, local and tribal agencies, and startups and small businesses that hold federal grants. Graduate students may apply with a support letter from a faculty advisor. Applicants must submit using an institutional email address - applications from personal accounts such as Gmail are rejected. The application consists of an electronic form plus a three-page PDF submitted through the NAIRR Pilot submission portal, and is peer reviewed against alignment with the pilot's focus areas, project readiness, technical feasibility, necessity of the requested resources, team expertise and resource justification. Projects are supported for a standard twelve-month duration. Awards are in-kind allocations of compute, model, platform and educational resources only; no cash is provided and allocation size is determined from the project's demonstrated need rather than from published tiers. Note that some catalogue resources including pre-trained models, datasets and platforms may be usable without submitting a proposal at all, so check the NAIRR Pilot Resource Catalog first. The call operates on an ongoing monthly cycle, with proposals received by the 15th typically decided by the end of the month, and remains open until the end of the NAIRR Pilot programme or until all resources have been committed. The pilot is transitioning to a permanent operations center under NSF solicitation 25-546, so confirm current allocation availability, resource catalogue contents and submission requirements at nairrpilot.org before applying. Confirm the full requirements in the official notice before applying.
The current listing shows the NAIRR Pilot awards no cash whatsoever. amount_min and amount_max are both set to 0 because what is allocated is in-kind access to computing, model, platform and educational resources rather than money that can be spent on salaries, equipment or indirect costs. Allocation sizes are not published as tiers; the amount of compute a project receives is determined case by case from the project's justified needs and current resource availability, for a standard project period of twelve months. The underlying resource pool is substantial - roughly 3.77 exaFLOPS of aggregate capacity across federal partners including DOE national laboratories, alongside NVIDIA H100 and A100 GPU clusters, commercial cloud environments, AI-ready datasets and pre-trained models, backed by around 100,000,000 US dollars in private-sector in-kind contributions. Those are programme-level figures describing the resource pool, not award sizes, and no dollar valuation is placed on an individual allocation. Verify award ceilings, matching requirements, and allowable costs in the official notice.
National Artificial Intelligence Research Resource (NAIRR) Pilot Resource Allocations for Compute, Models, Platforms and Educational Resources is funded by U.S. National Science Foundation (NSF) leading the NAIRR Pilot with 13 federal agencies including the Department of Energy and 28 private sector and non-profit partners. 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.
The Milestone-Based Fusion Development Program, FIRE Collaboratives, and INFUSE are building a public-private fusion pipeline modeled after NASA COTS.
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