NERSC is inviting proposals for projects that will leverage NERSC’s Perlmutter supercomputer to push the state of the art in Generative AI (GenAI) and deep learning for science and produce novel science outcomes. We are specifically seeking teams with expertise using deep learning for science, a deep understanding of the scientific domain, and demonstrated proofs-of-concept. NERSC staff effort will be available for consulting on running effectively at NERSC, but not generally for model development.
Initially, O(10,000) Perlmutter GPU node hours will be available for each project (each Perlmutter GPU node contains four A100 GPUs) with associated storage quotas on NERSC’s file systems. Additional resources may be available for projects that can demonstrate their ability to effectively utilize them.
This application includes three sections that ask for the following information:
- Project details that includes relevant scientific background, objectives, methodology and impact to the scientific community
- Computational resource requirements and utilization plan
- Team expertise, experience as well as clear and specific deliverables along with an expected timeline
