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The National Artificial Intelligence Research Resource (NAIRR) Pilot, led by NSF with 13 federal agencies and 28 industry partners, provides U.S. researchers and educators with no-cost access to advanced AI computing resources rather than direct cash awards. Resources include GPU clusters (NVIDIA H100 and A100), cloud environments, AI-ready datasets, and pre-trained models totaling roughly 3.
77 exaFLOPS of compute capacity, backed by in-kind contributions such as Microsoft's $20 million in Azure credits. Projects receive 12-month resource allocations on a rolling basis until resources are committed.
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Or search similar grants →According to the current listing, eligibility includes: U.S.-based researchers and educators at academic institutions (including graduate students with a faculty support letter), non-profits, federal agencies or FFRDCs, state/local/tribal agencies, and startups or small businesses holding federal grants. Confirm the full requirements in the official notice before applying.
The current listing shows in-kind, no-cost 12-month allocations of GPU compute, cloud credits, AI-ready datasets, and pre-trained models (no direct cash award). Verify award ceilings, matching requirements, and allowable costs in the official notice.
NAIRR Pilot Resource Allocations for AI Research and Education (National AI Research Resource) is funded by U.S. National Science Foundation (NSF) leading a multi-agency partnership with 13 federal agencies and 28 private-sector 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 NEH Humanities Research Centers on Artificial Intelligence program funds the creation of university-based humanities research centers focused on the ethical, legal, and societal implications of artificial intelligence. Funded centers undertake interdisciplinary humanities-led research that brings ethics, law, history, philosophy, anthropology, religious studies, literature, linguistics, and cultural studies to bear on questions raised by AI systems. Topics include responsible AI governance frameworks, AI and civil rights, AI and labor, cultural impact of generative AI, AI and creative authorship, philosophical foundations of machine reasoning, history of AI thought, and humanistic evaluation of AI safety and alignment. Centers are expected to convene researchers, train new humanities scholars in AI, host public-facing programming, and produce publications and translational tools that inform policy and public understanding. Strong fit for universities seeking to launch sustained interdisciplinary AI humanities research programs in partnership with computer science and other STEM departments.
SaTC 2.0 is NSF's flagship cybersecurity, privacy, and trust research program reorganized to address emerging threats including generative AI security, open-source software security, quantum computing security, and supply chain security. Funded scope covers the bidirectional role of AI as both a cybersecurity threat (adversarial attacks on AI systems, AI-enabled cyberattacks, data poisoning) and a defensive tool (AI for intrusion detection, automated vulnerability discovery, secure-by-design AI). The program supports interdisciplinary collaboration across computer science, mathematics, social and behavioral sciences, and STEM education to build trust in global cyber ecosystems.
NSF SaTC 2.0 (Security Privacy and Trust in Cyberspace) is the largest open solicitation for university-led cybersecurity research in the federal portfolio now expanded with AI security as an explicit priority area. The 2.0 reboot added generative AI security open-source software security quantum computing security and supply chain security as topics of interest addressing the bidirectional role of AI as both a cybersecurity threat and a defensive tool. Research awards support adversarial machine learning and attacks on AI systems AI weaponization against people information and systems privacy-preserving machine learning and responsible AI use for detecting and responding to cyber threats. The program funds three award types: Research awards up to $1.2M for four years Education awards up to $500K for three years and Seedling awards up to $300K for two years through Dear Colleague Letters. Proposals are accepted on a recurring annual basis with two windows per year. This is distinct from NSF CyberAICorps which focuses on scholarship and workforce development and from NSF AIMing which focuses on AI formal methods and mathematical reasoning.
NSF 26-501 (CAMEL) commits $9 million to build AI-ready K-12 mathematics datasets across 6–7 awards of up to $1.5 million each. The money is co-supported by the Walton Family Foundation — and the solicitation bars WFF staff and partners from participating in any capacity, prohibits voluntary cost sharing, and requires reports be shared with the foundation after NSF review. Here's how the public-private structure works, and what Phase II means for teams already in.
Read articleSchmidt Sciences opened a 'Scaling AI Safety for a Multi-Agent World' program with awards up to $1 million and an August 8, 2026 deadline. Against a backdrop of federal research slowdowns, here is why private science philanthropy matters more than ever, how these funders differ from federal agencies, and how researchers should approach them.
Read articleThe Workforce Opportunity for Rural Communities Initiative returns for a seventh round with $49.2M for the Appalachian, Delta, and Northern Border regions — awards of $2M to $8M, an estimated 6 to 24 grants, and a July 23, 2026 deadline. Here is how the three-commission structure works, who is eligible, why WORC 7's shift toward large-scale regional sector partnerships changes who should apply, and how to build a proposal that survives the competition.
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