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The NAIRR Pilot Start-Up Project Request is the entry-level track of the National AI Research Resource, giving researchers new to NAIRR quick access to GPU and AI computing resources for proof-of-concept work and scaling studies before submitting a full Research request.
Projects receive a three-month allocation of a single resource, with review decisions returned within 2-3 weeks and projects required to begin within two weeks of award notification. Resources include up to 2,000 GPU-hours across systems such as PSC Bridges-2, Purdue Anvil AI, SDSC Expanse AI, and TACC Vista.
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Or search similar grants →According to the current listing, eligibility includes: Researchers from U.S.-based institutions including academic institutions (graduate students with support letters), non-profits, federal agencies, federally funded R&D centers, state/local/tribal agencies, and startups and small businesses with federal grants. Institutional email required. Confirm the full requirements in the official notice before applying.
The current listing shows three-month allocations of one resource: up to 2,000 GPU-hours (PSC Bridges-2, Purdue Anvil AI, SDSC Expanse AI, or TACC Vista), up to 128,000 SUs on IU Jetstream-2, up to 480,000 SUs on TAMU ACES, up to 500 node-hours on DOE ANL AI Testbed, or up to 50 CS-2 hours on PSC Neocortex. Verify award ceilings, matching requirements, and allowable costs in the official notice.
NAIRR Pilot Start-Up Project Request for Entry-Level AI Compute Access is funded by U.S. National Science Foundation (NSF) in collaboration with U.S. federal agencies and industry 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.
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.
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