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NSF's ACCESS (Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support) program provides U.S. researchers, educators, and students with free allocations of high-performance and GPU computing time across a national network of supercomputing resources, in support of AI and machine learning research.
Allocations are tiered, with entry-level Explore allocations requiring only a one-page abstract and approved within days, scaling up to larger Discover, Accelerate, and Maximize tiers for compute-intensive AI workloads. ACCESS provides in-kind compute rather than direct cash funding.
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Or search similar grants →According to the current listing, eligibility includes: U.S.-based researchers, educators, graduate students, and postdocs at academic institutions, non-profits, and eligible organizations; open to a range of project scales. Confirm the full requirements in the official notice before applying.
NSF ACCESS Allocations for High-Performance and AI Computing Resources is funded by U.S. National Science Foundation (NSF) - Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS). 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 has moved to stand up the NAIRR Operations Center — a single award of up to $35 million over five years to run the National AI Research Resource. Backed by 14 federal agencies and 28 private partners, NAIRR has already connected 400+ research teams to compute and data most labs could never buy on their own. Here is what the transition from pilot to permanent program means, and how researchers actually get an allocation.
Read articleNSF 26-509 puts $60M behind national-scale data cyberinfrastructure for AI-driven science, with awards from $500K to $30M across three categories. The catch: an individual can be on only one proposal across Categories I and II per deadline. Here's how the category structure, the operations-not-research framing, and the July 28 date shape who wins.
Read articleNSF 26-508 (TechAccess: AI-Ready America) funds a single AI coordination hub per state at $1M/year for three years. Round 1 closes July 16, 2026, and only 10 of 56 hubs get decided first. Here's who can realistically win the backbone role and how to build a proposal that survives review.
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