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ACCESS is the most underused source of AI compute in the United States, largely because researchers assume national supercomputing requires the kind of proposal machinery that a federal research grant demands. It does not.
The entry tier, Explore, requires only a one-page abstract, is reviewed on a rolling basis and is typically approved within days - and it does not require PI status, which means graduate students, postdocs and teaching staff can hold allocations in their own right. Four tiers scale with need. Explore, up to 400,000 ACCESS Credits, is intended for resource evaluation, graduate student projects and small classes or training events.
Discover, up to 1,500,000 credits, fits research grants with modest resource needs and larger courses. Accelerate, up to 3,000,000 credits, targets experienced users with mid-scale needs and is explicitly framed as preparation for a Maximize request.
Maximize is the top tier for large-scale research activity, is awarded in resource units rather than credits, and unlike the lower tiers is competitive and cyclical - requests are accepted every six months, with the Maximize window in 2026 running from 15 June to 31 July. Explore, Discover and Accelerate accept requests at any time and permit multiple concurrent submissions.
The resource pool spans modeling and analysis systems, GPU-oriented systems, large-memory nodes and storage across NSF-funded sites, which makes it directly usable for model training, fine-tuning, inference at scale and large-scale data processing.
The practical strategy is laddered: take an Explore allocation to benchmark a workload, use the resulting evidence to justify Discover or Accelerate, and only then attempt Maximize with real scaling data in hand. For teams whose funding proposals need a credible compute plan, an existing ACCESS allocation is also strong supporting evidence.
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Or search similar grants →According to the current listing, eligibility includes: Open to researchers, educators and students based at United States academic institutions, non-profit research organisations and other eligible US-based organisations. Notably, PI status at a home institution is not required for the lower tiers, so graduate students, postdoctoral researchers and instructors can hold allocations in their own name. Explore, Discover and Accelerate requests are accepted at any time on a rolling basis and multiple requests are permitted; Explore requires only a one-page abstract and is generally approved within days. Maximize requests are accepted every six months, are limited to one per project with limited exceptions, and require a substantially fuller proposal including evidence of scaling and prior efficient use of smaller allocations - the 2026 Maximize window ran from 15 June to 31 July. Credit ceilings are 400,000 for Explore, 1,500,000 for Discover and 3,000,000 for Accelerate; Maximize is awarded directly in resource units. Allocations are exchanged for time on NSF-funded modeling and analysis systems, GPU-oriented systems, large-memory nodes and storage, and no cash is disbursed. Allocations are intended for open research and education; classified, export-controlled and commercial production workloads are generally out of scope. Applicants register and submit through the ACCESS allocations portal and should expect to report on usage and outcomes. Confirm the full requirements in the official notice before applying.
The current listing shows no cash is awarded. ACCESS grants in-kind allocations denominated in ACCESS Credits that are exchanged for time on NSF-funded systems: Explore up to 400,000 credits, Discover up to 1,500,000 credits, Accelerate up to 3,000,000 credits, and Maximize awarded directly in resource units with no credit ceiling. The commercial-cloud equivalent value of a large GPU allocation can run well into six figures, but the award itself is compute time, storage and expert support rather than money. Verify award ceilings, matching requirements, and allowable costs in the official notice.
NSF ACCESS Allocations Program for Free National Supercomputing and GPU Time for AI and Machine Learning Research is funded by U.S. National Science Foundation (NSF) via the ACCESS program - Advanced Cyberinfrastructure Coordination Ecosystem: Services and Support. 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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