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ERCAP (Energy Research Computing Allocations Process) allocates compute time on NERSC's Perlmutter supercomputer at Lawrence Berkeley National Laboratory, one of the world's largest GPU-based systems with over 7,000 NVIDIA A100 GPUs alongside AMD EPYC CPUs.
ERCAP is the primary mechanism for the broader DOE Office of Science research community (and partner researchers) to access leadership-class GPU resources for AI/ML, foundation model training, scientific AI, climate AI, materials AI, and AI-coupled simulation. Annual allocation cycle: submissions typically open in August and close in early October, with allocations starting January 1 of the following year.
The 2026-cycle ERCAP call closed October 8, 2026 for 2027 allocations. NERSC supports both pre-trained foundation model fine-tuning and pre-training campaigns, with a growing AI/ML user community. Recipients receive both compute hours and consultation from NERSC's NESAP for AI program providing hands-on optimization, MLOps support, and access to advanced features (interactive nodes, Jupyter at scale, ML-optimized storage).
ERCAP complements DOE's INCITE (largest) and ALCC (mission-aligned) allocation pathways.
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Or search similar grants →According to the current listing, eligibility includes: Researchers at U.S. universities, national laboratories, and DOE-affiliated industry whose research is aligned with DOE Office of Science mission areas (energy, materials, biological/environmental, fusion, high-energy physics, nuclear physics, advanced scientific computing). Foreign collaborators eligible through U.S. PIs. Industry researchers eligible for non-proprietary research with broad scientific impact. PIs must have established track record in scientific computing or AI/ML applied to scientific problems. Confirm the full requirements in the official notice before applying.
The current listing shows annual ERCAP allocations on NERSC's Perlmutter supercomputer (7,000+ NVIDIA A100 GPUs + AMD CPUs). Typical AI/ML allocations range from 1,000 to 100,000 GPU node-hours, valued at $50,000 to $5 million USD in compute resources per allocation. Multi-million-hour allocations available for very large AI training campaigns. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NERSC ERCAP Energy Research Computing Allocations on Perlmutter for AI and ML are due October 8, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NERSC ERCAP Energy Research Computing Allocations on Perlmutter for AI and ML is funded by U.S. Department of Energy Office of Science (NERSC at Lawrence Berkeley National Laboratory). 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).
The NSF Convergence Accelerator is a grant from the National Science Foundation (NSF) that funds multidisciplinary teams working to solve national-scale societal challenges through convergence research and innovation. Launched in 2019 under NSF's Directorate for Technology, Innovation and Partnerships, the program operates in two phases: Phase 1 awards are up to $750,000, with successful teams advancing to larger Phase 2 awards. Eligible applicants include institutions of higher education and nonprofit or for-profit organizations. Track I and Track K focus on specific high-priority topics announced each funding cycle. The next deadline is June 15, 2026. Proposals must comply with updated NSF research security policies effective July 2025.
The AI3 Action Institute is a federal effort to build dedicated AI capacity within Native communities rather than fund a single applied AI project. The awardee establishes and operates an AI resource hub for Native communities, providing technology information, facilitating information sharing and technology deployment across tribal and Native-serving organizations, and conducting stakeholder engagement and coalition building across industry, government and academic sectors. Notably, allowable costs cover short-to-medium-term staff costs including the Institute's director as well as facility setup - a recognition that the binding constraint in this space is institutional infrastructure and staffing, not project ideas. The financial structure is the detail that most shapes strategy: with a $2,500,000 floor, a $3,500,000 ceiling and $3,500,000 in total expected program funding across a three-year period, this is effectively a single-award competition, so applicants should assume they are competing for the entire program rather than for a slot in a cohort. Eligibility is restricted to Native-serving entities - federally recognized Indian tribes, incorporated non-federally or state-recognized tribes, consortia of Indian tribes, Native community-based organizations, Urban Indian Organizations, Alaska Native villages and entities, Native Hawaiian serving agencies, Native Pacific Islander serving agencies, and tribal colleges and universities. That eligibility list is broader than many ACF opportunities, extending to Native Hawaiian and Pacific Islander serving agencies as well as tribal entities. Applicants should expect the strongest proposals to combine an existing convening role in Native technology or education with a realistic plan for standing up durable staff capacity within the grant period, since a hub that dissolves when funding ends would not serve the program's purpose. The deadline is August 27, 2026, and applications are submitted through Grants.gov under opportunity number 362270.
The Trump administration committed $5B and 278 projects across 15+ agencies to the Genesis Mission. Here's the structure — and how to position for the next wave.
Read articleOn July 22, 2026, the White House announced more than $5 billion in federal commitments for the Genesis Mission — the Department of Energy-led national initiative to fuse AI, exascale computing, and the 17 national labs into a single scientific platform. Nearly 300 projects across all 50 states were selected from a historic Request for Applications, and 15-plus agencies are now attaching funding to a set of National Science and Technology Challenges. Here is what the Genesis Mission is, how the money is structured, and the concrete on-ramps for researchers, universities, and small businesses who were not in the first cohort.
Read articleDOE's FY2026 Office of Science open-call solicitation (DE-FOA-0003600) makes roughly $500 million available across about 500 awards of $50,000 to $5 million — across computing, physics, chemistry, biology, fusion, and isotopes — with a rolling window that stays open through September 30, 2026. Unlike a targeted NOFO, it lets investigators propose almost anything within the agency's mission. Here is how the open call actually works, why it is chronically underused, and how to write into it.
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