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NERSC ERCAP Energy Research Computing Allocations on Perlmutter for AI and ML is sponsored by U.S. Department of Energy Office of Science (NERSC at Lawrence Berkeley National Laboratory). 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.
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June 15 - 16, 2026 9 a. m. - 12 p.
m. PDT ##### New User Training June 2026 #### What’s Happening at NERSC?
##### Berkeley Lab Takes Major Step Toward Doudna with Delivery of Early Access System, Cech #### Empowering and accelerating science through high performance computing * Artificial Intelligence * Integrated Research Infrastructure * Student and Faculty Programs * Early Career Achievement Awards * NERSC Science Acceleration Program * Artificial Intelligence * Integrated Research Infrastructure * Student and Faculty Programs * Early Career Achievement Awards * NERSC Science Acceleration Program ##### Major Power Upgrade to Disrupt Services July 22 - August 3 #### News, Training, Essential Links * System Status Definitions * Technical Documentation * NERSC User Group (NUG) page") * Get your first allocation * System Status Definitions * Technical Documentation * NERSC User Group (NUG) page") * Get your first allocation Sorry, we can’t find that page.
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According to the current listing, eligibility includes: Researchers at U. S. 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.
The published deadline was October 8, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
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.
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