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The DOE INCITE (Innovative and Novel Computational Impact on Theory and Experiment) program is the primary mechanism for distributing leadership-class compute time on the U.S. Department of Energy's exascale systems — Aurora at Argonne and Frontier at Oak Ridge — to support high-impact AI and computational science research.
INCITE specifically supports large-scale AI training including foundation models, multimodal architectures, scientific AI, and AI-driven scientific discovery. Individual awards range from 500,000 to 1,000,000 node-hours per project per year (equivalent to multi-million-dollar compute value), making INCITE one of the largest sources of leadership-class GPU/accelerator time globally.
The 2026 call emphasized AI for science, foundation models for scientific discovery, large-scale generative AI, and AI-coupled simulation. The proposal review process emphasizes computational readiness, scientific merit, and ability to use leadership-class resources effectively. Open to academic, industry, and government researchers worldwide regardless of source of project funding.
Annual call typically opens April-June with awards starting January of the following year. Companion programs include ALCC and ERCAP for additional compute allocations.
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Or search similar grants →According to the current listing, eligibility includes: Open to researchers from U.S. academic, government, and industry institutions; international applicants accepted. No requirement for prior DOE funding. PI must demonstrate computational readiness and ability to use leadership-class resources at scale. Successful proposals require evidence of code scalability, prior work at smaller scale, and clear scientific or AI research impact. Strong preference for projects requiring leadership-class systems (i.e., cannot be done on smaller systems). Confirm the full requirements in the official notice before applying.
The current listing shows individual INCITE awards typically range from 500,000 to 1,000,000 node-hours on Aurora (Argonne) or Frontier (Oak Ridge) exascale systems — equivalent to approximately $1 million to $15 million in compute value per award. INCITE reserves up to 60% of node-hours on DOE exascale systems for selected projects. Multi-year awards typical (1-3 years). Verify award ceilings, matching requirements, and allowable costs in the official notice.
DOE INCITE Program Leadership Computing Allocations for AI and Foundation Models is funded by U.S. Department of Energy Office of Science (Argonne and Oak Ridge Leadership Computing Facilities). 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 NSF Computer and Information Science and Engineering: Future Computing Research (Future CoRe) program (NSF 25-543) supports foundational computing research and education with a strong emphasis on AI and machine learning. The program funds research that advances the foundations of computing including AI/ML theory, algorithms, systems, and applications. Future CoRe supports small to medium-sized research projects that can have significant impact on computing foundations. The program has target dates of February 5, 2026 and September 10, 2026 for proposal submissions (note: these are target dates, not deadlines, meaning proposals may be submitted at any time but will be reviewed in batches around these dates). Investigators may not serve as PI, co-PI, or Senior/Key Personnel on more than two proposals submitted within any consecutive 12-month period across all Future CoRe programs. This is one of NSF's primary mechanisms for funding fundamental AI and machine learning research at U.S. academic institutions, covering areas such as machine learning theory, natural language processing, computer vision, robotics foundations, and human-AI interaction.
The ONR Long Range Broad Agency Announcement (N00014-25-S-B001) is the Office of Naval Research's primary mechanism for soliciting research proposals across all naval science and technology priority areas. The BAA accepts proposals on a rolling basis through September 30, 2026 and covers ONR's full spectrum of research interests with particular emphasis on AI-related topics including autonomous maritime systems, human-machine teaming, machine learning for sensor fusion, cooperative autonomous swarm technology, undersea autonomy, and AI-enabled decision superiority. Proposals can be funded through multiple mechanisms including individual investigator grants, the Young Investigator Program (~$510K over 3 years for early-career faculty), and Multidisciplinary University Research Initiative (MURI) awards ($1.5M/year for 3-5 years for research teams). ONR recommends contacting relevant program officers before submitting to discuss alignment with current research priorities. The BAA supports basic research (6.1), applied research (6.2), and advanced technology development (6.3) across the full range of naval-relevant science and engineering disciplines.
DE-FOA-0003600 is the DOE Office of Science's FY 2026 open, rolling solicitation for financial assistance, providing roughly $500 million across seven program areas: Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, Nuclear Physics, and Isotope R&D and Production. AI and machine learning research is supported directly through Advanced Scientific Computing Research, while Biological and Environmental Research funds atmospheric process research, environmental systems process research, and earth-energy systems modeling — making this a major channel for AI-enhanced climate and earth system modeling work. DOE anticipates 200 to 350 new awards ranging from $5,000 to $5 million each, with project periods from six months to five years. The FOA opened September 30, 2025 and accepts applications on a rolling basis through the end of FY 2026.
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