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The National Artificial Intelligence Research Resource (NAIRR) Pilot, led by NSF in partnership with DOE, 13 federal agencies, and 28 industry and nonprofit partners, democratizes access to the resources needed for AI research. Rather than cash, awardees receive an integrated ecosystem of compute (HPC allocations and cloud GPU credits), curated datasets, pretrained models, and software platforms.
Proposals are reviewed on a rolling monthly basis (submissions by the 15th are typically reviewed by month-end), and projects run for 12 months. A lighter Start-Up track offers a roughly two-week turnaround. All results must be open and publishable.
The pilot has supported more than 600 projects and 6,000 students across all 50 states.
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Or search similar grants →According to the current listing, eligibility includes: U.S.-based researchers and educators from U.S.-based institutions, including academic institutions (graduate students eligible with a faculty advisor support letter), non-profits, federal agencies or FFRDCs, state/local/tribal agencies, and startups and small businesses holding federal grants. Institutional email required. Confirm the full requirements in the official notice before applying.
The current listing shows in-kind award of compute, model, platform and educational resources rather than cash. Allocations include HPC and cloud GPU time, dataset access, and pretrained models contributed by federal agencies and industry partners; the value of a single allocation is commonly equivalent to roughly $10,000 to $150,000 in compute and services. Verify award ceilings, matching requirements, and allowable costs in the official notice.
NAIRR Pilot Resource Requests for AI Compute Datasets and Pretrained Models is funded by U.S. National Science Foundation (NSF) and Department of Energy (DOE) with industry and nonprofit 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 Air Force Research Laboratory Information Directorate's Geospatial Intelligence Processing and Exploitation (GeoPEX) Broad Agency Announcement (FA8750-21-S-7006) is an open, two-step BAA funding research, development, integration, testing, and evaluation of technologies that enhance geospatial intelligence (GEOINT) capabilities for national security missions. Core technical areas emphasize artificial intelligence and machine learning techniques for full-spectrum GEOINT, automated multi-source data production, cloud-based high-performance computing, photogrammetry, and rapid exploitation of imagery and sensor data. The BAA carries an estimated total ceiling of approximately $99.9 million, with individual awards from roughly $250,000 to $10 million over performance periods up to 36 months. White papers are accepted on a rolling basis and the announcement remains open and effective through September 30, 2026.
The Department of Energy's Advanced Materials and Manufacturing Technologies Office (AMMTO) Smart Manufacturing Funding Opportunity Announcement (DE-FOA-0003329) provides up to $33 million to fund high-impact applied research, development, and demonstration projects that use digitization, artificial intelligence, machine learning, and physics-informed models to improve the technical performance, efficiency, productivity, and competitiveness of U.S. manufacturing. Areas of interest include AI- and ML-driven automation integrating hardware and software systems into manufacturing tooling and equipment, manufacturing asset management for system performance optimization (cost, quality, throughput), intelligent materials identification and sorting for circular economy outcomes, and digital twin platforms supporting clean energy manufacturing. The FOA aligns with the DOE Industrial Decarbonization Roadmap and supports the broader Manufacturing USA Smart Manufacturing strategy.
The DOE Genesis Mission is a $320+ million Department of Energy initiative that leverages artificial intelligence to advance U.S. energy dominance, strengthen national security, and accelerate scientific discovery. The funding portfolio supports four pillars: the American Science Cloud, which hosts and distributes AI models and AI-ready scientific data sets; the Transformational AI Models Consortium, which develops self-improving foundation AI models for scientific discovery; 14 projects in robotics, automated laboratories, and autonomous control of large-scale experiments that aim to transform laboratory environments using embodied AI, advanced automation, and robotics; and 37 foundational AI projects focused on organizing scientific data and developing rigorously tested AI models. The Mission is led by Under Secretary for Science and Innovation Dario Gil and runs across DOE's national laboratory complex.
The Alternative Fuels and Feedstocks Office issued a Notice of Intent on July 14 for ASPECT — up to $58 million in cooperative agreements for producing chemicals from alternative and waste feedstocks, with the full NOFO expected August 24, 2026. Two topic areas, four sub-topics, 2-to-5-year performance periods, a required concept paper, and one requirement most applicants will miss: every project needs a for-profit industry partner, and universities cannot lead Topic Area 2. Here is how to use the pre-NOFO window.
Read articleIn January 2026, DOE Policy Flash PF-2026-30 wiped out every 15% and 10% indirect cost cap the administration had imposed in 2025 — because H.R. 6938 ordered it to. The same law froze indirect policy at NSF, Commerce and NASA. But OMB's sweeping new grants rule quietly reopens the fight through the back door. Here is what changed, what money recipients can claw back, and how to protect your indirect recovery going forward.
Read articleThe FY2026 spending package preserves NIH, NSF, and DOE funding while blocking the 15% indirect cost cap. A detailed breakdown of what passed, what is next in the Senate, and how researchers should position themselves.
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