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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 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 NIBIB Trailblazer Award is an enhanced R21 mechanism for New and Early Stage Investigators (NIs/ESIs) to pursue research at the interface of life sciences with engineering and physical sciences — explicitly including artificial intelligence, machine learning, and deep learning for medical imaging and biomedical data analysis. Trailblazer projects receive up to $400,000 in direct costs over three years, and NIBIB encourages applications in computational imaging, AI-driven diagnostic algorithms, deep learning for medical image segmentation and classification, machine learning approaches to biomedical signal processing, and AI for digital pathology, radiology, and wearable health sensors. Beginning FY2026, NIH funding opportunities are posted exclusively on Grants.gov rather than the NIH Guide. Trailblazer complements NIBIB's standard R21 (capped at $275,000 over two years) and R01 pathway for larger established research programs.
NSF'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.
Read articleThe Common Investment Initial Screening Application went live July 24, 2026, routing a single submission to 14 federal financing partners including DFC, ExIm, and the Office of Strategic Capital. Outside estimates put the accessible capacity above half a trillion dollars. It is also the most consequential unscored application in federal funding — no deadline, no review criteria, no commitment, and disclosure obligations most applicants will not read carefully. Here is how it actually works.
Read articleThe 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.
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