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The NSF ACCESS (Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support) program allocates compute time on NSF-funded high-performance computing systems including GPUs at TACC (Stampede3), PSC (Bridges-2 and Neocortex AI), SDSC (Expanse), NCSA (Delta), and other partner facilities for AI and ML research, training, and education.
Four allocation tiers: Explore (one-page abstract, approved within days, ideal for course projects or initial AI exploration); Discover (small research projects); Accelerate (substantial AI/ML campaigns); Maximize (largest tier, semi-annual review with submissions June 15-July 31, 2026 for awards starting October 1, 2026). No PI status required — postdocs, graduate students, and faculty can apply independently.
Particular emphasis on broadening participation: students at minority-serving institutions, primarily undergraduate institutions, and community colleges have streamlined paths. The Neocortex Cerebras CS-2 system at PSC offers specialized AI accelerator access for large-model training.
ACCESS serves as the default entry point for U.S. academic researchers seeking GPU/TPU/accelerator access for AI projects without dedicated cluster access.
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Or search similar grants →According to the current listing, eligibility includes: Open to U.S.-based researchers, postdocs, graduate students, and educators at universities, colleges, nonprofits, and federal agencies. No PI status required for Explore and Discover tiers. Foreign collaborators eligible as co-PIs but lead must be U.S.-affiliated. International researchers can collaborate through U.S. partners. Educators teaching AI/ML courses receive dedicated educational allocations. Broader Impacts statement required for larger tiers. Confirm the full requirements in the official notice before applying.
The current listing shows tiered allocations: Explore (small, $1K-$10K compute value, approved within days); Discover (mid-tier, $10K-$50K); Accelerate (larger, $50K-$200K); Maximize (semi-annual review, $200K-$1M+ compute value). Total compute value across all tiers exceeds $50 million annually. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NSF ACCESS Allocations Program for AI and ML Compute Resources are due July 31, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NSF ACCESS Allocations Program for AI and ML Compute Resources is funded by National Science Foundation (NSF). 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 FY2026 Department of Defense Multidisciplinary University Research Initiative (MURI) program supports basic research in science and engineering at U.S. institutions of higher education, with emphasis on multidisciplinary research where more than one traditional discipline interacts. The Army, Navy, and Air Force basic research offices are seeking applications across 22 topic areas including artificial intelligence and autonomy, information sensing and processing, and systems manipulation. MURI grants typically provide $1.25 million to $1.5 million per year for three years with option to extend two additional years. Approximately $170 million in total funding is available annually across all topics. The program is administered through the Office of Naval Research (ONR), Army Research Office (ARO), and Air Force Office of Scientific Research (AFOSR).
TechAccess: AI-Ready America (NSF 26-508) is a landmark national-scale initiative to accelerate AI readiness and adoption across the United States by establishing State/Territory Coordination Hubs. Each hub receives up to $1 million annually for three years (with a possible one-year extension) to serve as a central resource for AI education, workforce development, and technology deployment within their state or territory. Hubs are responsible for maintaining an AI Learning and Resource Navigator, strategic planning and evaluation for AI readiness, hands-on AI deployment support for businesses and government, training coordination across K-16 and workforce systems, and priority sector coordination in energy, agriculture, healthcare, and manufacturing. The program operates in three rounds: Round 1 selects 10 hubs (July 2026), Round 2 selects 20 hubs (January 2027), and Round 3 fills remaining slots (July 2027). This represents one of the largest federal investments in AI workforce readiness, aiming to ensure every state has coordinated AI adoption infrastructure.
The NSF CyberAICorps Scholarship for Service (CyberAI SFS) program is a new solicitation (NSF 26-503) that combines AI and cybersecurity education and workforce development into a unified program. It replaces the prior CyberCorps SFS program with expanded AI focus, reflecting the critical intersection of artificial intelligence and cybersecurity. The program has two tracks: the Scholarship Track supports institutions in providing scholarships to students pursuing AI and cybersecurity careers in government service, with student stipends of $27,000/year (undergraduate) or $37,000/year (graduate), plus tuition and professional development allowances. Recipients commit to government service equal to the length of their scholarship. The Innovation Track funds transformative educational projects developing new curricula, instructional materials, professional development programs, experiential learning, and communities of practice in AI and cybersecurity. The program reflects the growing national need for professionals who understand both AI systems and cybersecurity, including using AI for cybersecurity defense and securing AI systems themselves. Two scholarship track competitions run in 2026: FY2026 (April 3 target) and FY2027 (July 21 hard deadline).
NSF's TechAccess: AI-Ready America commits up to $224 million to build one AI-readiness coordination hub in every state, DC, and U.S. territory. Round 1 closed July 16, 2026 — but Rounds 2 and 3 are still open, and most states are still up for grabs. Here is how the hub structure works, who is eligible, why cost sharing is banned, and how to position an institution to own its state's hub.
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