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ACCESS is the most consistently underused compute resource available to U.S. AI researchers, and the reason is a misconception: teams assume they need an existing NSF award to qualify. They do not.
ACCESS states plainly that an allocation costs nothing and does not require an NSF grant, which makes it the natural first stop for a student, an unfunded early-career researcher, or a small team that needs GPU-hours to generate the preliminary results a real grant proposal will require. The programme runs four tiers with escalating credit ceilings and escalating review burden.
Explore caps at 400,000 credits and needs a one-page proposal reviewed only for eligibility and resource suitability; Discover caps at 1,500,000 credits on a three-page proposal with the same light-touch review; Accelerate caps at 3,000,000 credits and requires a ten-page proposal and formal panel merit review; Maximize is awarded directly in resource units, requires the most rigorous review, and opens only every six months with normally one request permitted.
Explore, Discover and Accelerate accept multiple requests and run for the duration of a supporting grant or twelve months, whichever is longer. Credits are exchanged for time on a heterogeneous pool that includes GPU-oriented systems, large-memory nodes, modelling and analysis systems and storage - which matters because a training run and an inference-heavy evaluation campaign should be costed against different resources.
The practical strategy for most AI teams is to start at Explore, use it to establish feasibility and a resource-utilisation track record, then step up to Discover or Accelerate with evidence rather than argument.
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Or search similar grants →According to the current listing, eligibility includes: Open to U.S.-based researchers, educators and students at U.S. institutions; an existing NSF award is explicitly not required and the allocation carries no cost to the recipient. Graduate students generally need faculty support. Four tiers are available: Explore (400,000 credit limit, 1-page proposal, eligibility-and-suitability review, multiple requests allowed), Discover (1,500,000 credit limit, 3-page maximum, same simplified review, multiple requests allowed), Accelerate (3,000,000 credit limit, 10-page maximum, formal panel merit review, multiple requests allowed) and Maximize (awarded in resource units rather than credits, most rigorous review, 12-month duration, submission windows every 6 months, normally one request allowed with some exceptions). Explore, Discover and Accelerate run for the supporting grant duration or 12 months, whichever is greater, and are accepted on a continuous rolling basis rather than against a fixed deadline. Credits are redeemable across a heterogeneous resource pool including GPU-oriented systems, large-memory nodes, modelling and analysis systems and storage; exchange rates vary by resource and are published in the ACCESS Credit Exchange and Calculator. Applicants must confirm current tier limits, resource availability, exchange rates and any Maximize submission window dates on the ACCESS allocations site before applying. Confirm the full requirements in the official notice before applying.
The current listing shows ACCESS awards ACCESS Credits redeemable for compute time rather than cash. Published tier ceilings are 400,000 credits (Explore), 1,500,000 credits (Discover) and 3,000,000 credits (Accelerate); Maximize allocations are awarded directly in resource units with no published credit cap. amount_min of 5,000 and amount_max of 150,000 are ESTIMATES of the approximate commercial-cloud-equivalent USD value of an Explore-tier and an Accelerate-tier allocation respectively. NSF does not publish a dollar valuation for ACCESS Credits, and the realised value depends entirely on which resource the credits are exchanged for - GPU-hours convert at a very different rate from CPU-hours. Treat these figures as an order-of-magnitude guide, not a published award amount. Verify award ceilings, matching requirements, and allowable costs in the official notice.
NSF ACCESS Allocations Program for No-Cost GPU and HPC Compute Credits Supporting AI and Machine Learning Research is funded by U.S. National Science Foundation (NSF), Advanced Cyberinfrastructure Coordination Ecosystem: Services and Support (ACCESS). 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.
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