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Annual cycle — 2026-2027 closed Jan 26, 2026. Next cycle (2027-2028) expected fall 2026.
The DOE ASCR Leadership Computing Challenge (ALCC) provides allocations of computing time on the nation's most powerful supercomputers for high-risk, high-payoff scientific campaigns aligned with DOE priorities. For the 2026-2027 cycle, available resources include 20 million node-hours on Frontier (exascale, Oak Ridge), 16 million node-hours on Aurora (exascale, Argonne), 1 million node-hours on Polaris (Argonne), and 3.
5 million combined CPU and GPU node-hours on Perlmutter (NERSC, with 7,000+ NVIDIA A100 GPUs). ALCC projects span modeling, simulation, artificial intelligence, and data analysis. New for 2026-2027: multi-year proposals of up to three years are accepted, and the process has been simplified to a single proposal without a pre-proposal stage.
The estimated commercial value of allocations ranges from $500,000 to $10 million or more per project depending on scale. The 2026-2027 application deadline was January 26, 2026; the program cycles annually with the next call expected November 2026.
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Search similar grants →Based on current listing details, eligibility includes: Open to researchers at U.S. academic institutions, national laboratories, industry, and other research organizations. International collaborators may participate. Projects must address DOE mission areas or national emergencies, or expand access to leadership computing for a broader research community. AI and machine learning projects are explicitly within scope. No pre-proposal required. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Funding amounts vary based on project scope and sponsor guidance. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is January 26, 2026. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
The Department of Defense FY2026 Defense University Research Instrumentation Program (DURIP) provides funding for U.S. universities to acquire research equipment and instrumentation in areas important to national defense, including AI and machine learning hardware. The program is administered jointly by the Army Research Office (ARO), Office of Naval Research (ONR), and Air Force Office of Scientific Research (AFOSR), with approximately $34 million available and 95 awards anticipated. DURIP funds the acquisition of specialized computing hardware for AI/ML research (GPU clusters, TPUs, neuromorphic processors), robotics and autonomous systems testbeds, sensor arrays and data collection systems for machine learning training, high-performance computing infrastructure for defense-relevant AI research, and laboratory equipment for human-AI interaction studies. The program specifically supports equipment that enhances research-related education in DoD-priority disciplines. While general-purpose computing is not eligible, computing equipment directly supporting DoD-relevant AI research programs qualifies. No cost sharing is required.
Innovate UK's Sovereign AI Proof of Concept programme funds proof of concept demonstrators of AI technologies with state-of-the-art performance across five strategic themes: fundamental AI research, materials discovery, biosciences and health, defense and national security, and AI-aided chip/hardware design. Individual project grants range from £50,000 to £120,000 (approximately USD $63,500-$152,400) from a total allocation of at least £1.6 million. Projects must be 1-3 months in duration, starting by January 2026 and completing by March 2026. The programme supports feasibility studies and industrial research, with funding covering up to 70% of costs for micro/small businesses, 60% for medium, and 50% for large organizations. Literature review studies and projects unable to scale are excluded.