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The National Artificial Intelligence Research Resource Pilot, led by NSF with DOE and 13 federal agencies alongside 28 industry and non-profit partners, allocates compute, datasets, pre-trained models and platforms to US researchers and educators who would otherwise be priced out of frontier-scale AI work.
What distinguishes NAIRR from a straight GPU credit programme is breadth: the allocation can combine HPC time on DOE national laboratory systems, commercial cloud credits, curated AI-ready datasets and access to pre-trained models, matched to the project by resource matching committees after peer review. The call has no fixed closing date.
It has been open since 6 May 2024 and runs until the end of the pilot or until all resources have been committed, operating on monthly review cycles in which proposals submitted by the 15th of a month are typically decided by the end of that month. Awards are for twelve months.
Applications require a submission form plus a three-page PDF proposal, and a lighter Start-Up track with an approximately two-week turnaround exists for teams that need modest resources quickly or want to establish feasibility before requesting a larger allocation.
Graduate students may apply with a support letter from a faculty advisor, which is unusual among federal compute programmes and makes NAIRR one of the few realistic routes to significant compute for a doctoral project.
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Or search similar grants →According to the current listing, eligibility includes: Eligible applicants are US-based researchers and educators at US-based institutions, including academic institutions, non-profits, federal agencies and federally funded research and development centers, state, local and tribal agencies, and startups and small businesses holding federal grants. Graduate students are explicitly eligible provided they submit a support letter from a faculty advisor. An institutional email address is required at submission, so personal accounts will not pass the initial check. Submission is electronic through the NAIRR Pilot submission site and consists of a form plus a three-page PDF proposal; proposals undergo independent peer review followed by resource matching committees that pair the approved project with specific compute, dataset or model resources, meaning a strong proposal may still be matched to different resources than requested. Awards are for a twelve-month duration. There is no single deadline: the call has been open since 6 May 2024 and continues until the pilot ends or resources are exhausted, with monthly cycles in which submissions received by the 15th are typically decided by month end. A Start-Up track with roughly two-week turnaround suits teams needing small allocations or wanting to de-risk a larger request. No cash is awarded, so personnel and other direct costs must be funded separately. Confirm the full requirements in the official notice before applying.
The current listing shows NAIRR allocations are in-kind resources rather than cash, and the programme publishes no dollar value per award, so amount_min and amount_max are both recorded as 0 rather than fabricating a figure. What is allocated is computing capacity including NVIDIA H100 and A100 GPU clusters and cloud environments, plus pre-trained models, AI-ready datasets, platforms and educational resources drawn from the NAIRR Pilot Resource Catalog. Awards run for twelve months. The scale of the pool is publicly described as roughly 3.77 exaFLOPS of federal compute capacity alongside approximately 100 million US dollars in private-sector in-kind contributions from partners including NVIDIA and Microsoft, and the programme has supported more than 600 research and education projects and 6,000 students across all 50 states. Because no salary support is attached, NAIRR functions as a compute layer on top of separately funded work rather than as a research grant. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NAIRR Pilot Resource Requests to Advance AI Research and Education with Federal GPU Compute, Datasets, Models and Cloud Credits are due December 15, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NAIRR Pilot Resource Requests to Advance AI Research and Education with Federal GPU Compute, Datasets, Models and Cloud Credits is funded by U.S. National Science Foundation (NSF) and U.S. Department of Energy (DOE), with 13 federal agencies and 28 industry 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 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.
The Hydrocarbons and Geothermal Energy Office's University Training and Research program funds coal, oil and gas, and geothermal R&D at U.S. colleges and universities — but every proposal must include a non-academic partner and must build training modules that outlive the award. The LOI deadline is October 1, 2026, with full applications 15 days later. Here is what that compressed window means and why the workforce framing changes what a competitive proposal looks like.
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Read articleNSF's Industry-Integrated PhD Scholars Program commits $47 million over five years through the nonprofit UIDP to place more than 250 doctoral students in year-long industry research placements. Universities fund year one, NSF funds years two through four, and each company puts in at least $100,000 per student. Here is what the funding structure actually selects for, the four-year timeline problem, and what universities, companies, and students should do.
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