{"attachments":[{"id":"54f858ac-0150-4083-a19f-0625e636b376","project_id":"5e8e191a-1639-49bb-bb47-2b28702e2b39","url":"https://www.nersc.gov/assets/Documents/2024-2034-NERSC-10-yr-Strategic-Plan-v2.pdf","filename":"Strategic Plan","mime":"","bytes":0,"key_points":"","extract_status":"pending","downloaded_at":null,"created_at":"2026-10-12T04:38:52.464966+02:00"}],"project":{"id":"5e8e191a-1639-49bb-bb47-2b28702e2b39","title":"NERSC 2026 Call for AI for Science Proposals","title_normalized":"nersc2026callforaiforscienceproposals","sponsor":"U.S. Department of Energy Office of Science","agency":"National Energy Research Scientific Computing Center (NERSC), Lawrence Berkeley National Laboratory","kind":"grant","taxonomy":["資通訊與AI","生醫健康","淨零與能源"],"region":"美國","deadline":"2026-04-30T00:00:00Z","starts_at":"2026-03-18T00:00:00Z","announced_at":null,"budget":"Up to 10,000 Perlmutter GPU node hours (4 A100 GPUs per node) + associated storage; up to 20,000 CPU node hours for AI-ready dataset generation; additional resources possible based on demonstrated need and availability","eligibility":"1. Teams with expertise in deep learning for science\n2. Deep understanding of the scientific domain\n3. Demonstrated proof-of-concept results\n4. Open call — not necessary to be a current NERSC user","summary":"NERSC 發布 2026 年 AI for Science 計劃徵求，邀請研究團隊利用 Perlmutter 超級電腦推進科學 AI 邊界。提供 GPU/CPU 節點時數與儲存配額，面向所有研究者開放申請，評審重視科學創新性、與 DOE 任務相關性、技術可行性、大規模運算就緒度及團隊執行力。","url":"https://www.nersc.gov/news-and-events/news/2026-ai-for-science-cfp","url_status":"ok","url_checked_at":"2026-11-05T06:10:54.668248+01:00","source_id":null,"snapshot_id":"46601edf-16e6-437c-892b-2fc61347fd20","spec_id":null,"lifecycle":"open","first_seen_at":"2026-10-12T04:38:52.429605+02:00","last_verified_at":"2026-10-12T04:38:52.445674+02:00","created_at":"2026-10-12T04:38:52.430347+02:00","updated_at":"2026-11-05T06:10:54.67933+01:00"}}