연산 능력, 모델, 칩, 데이터센터, 벤치마크 — 인공지능의 전체 궤적을 수치로 담아 지속적으로 갱신합니다.
1950년부터 2026년까지 학습 연산량이 알려진 모든 추적 모델. 로그 눈금으로 25자릿수에 걸쳐 있습니다.
Almost nothing here is disclosed by the labs. Training compute is reconstructed from hardware counts and training time; data-center capacity is inferred from construction permits, satellite imagery and power contracts; chip supply is modelled from earnings and shipment data. So every estimate carries its uncertainty with it — a confidence tag on an attribution, a 5th-to-95th percentile band on a supply figure, a note on how a compute number was derived. Those qualifiers are kept on the page rather than rounded away.
The underlying research is Epoch AI's, published under a Creative Commons Attribution license. What is added here is structure: one durable URL per model, per data center, per cluster, per chip, per benchmark — server-rendered, cross-linked and citable, instead of locked inside an interactive explorer.