{"data":{"slug":"flops","etype":"concept","name":"FLOPS & Precision Formats","cat":"Hardware & Compute","subtitle":"How compute is counted — and why the same chip has five different numbers.","summary":"FLOPS count floating-point operations per second; AI hardware quotes them per precision (FP64 → FP4), roughly doubling each halving of bits, and vendors often quote sparsity-doubled figures — always check the footnote (records here label dense vs sparse). Training compute totals (10²⁵–10²⁶ FLOP for frontier runs) anchor scaling laws and even export regulation thresholds.","attrs":null,"kf":null,"aliases":["FLOP","petaflops","exaflops","precision"],"ticker":null,"exchange":null,"hq":null,"founded":null,"website":null,"status":null,"region":null,"asof":"2026-01-15","sources":[{"url":"https://epoch.ai/data","label":"Epoch AI compute data"}]},"meta":{"found":true,"count":1,"served_from":"site cache (no live upstream calls)","as_of":"2026-10-14T06:33:47+00:00","disclaimer":"Research and information only — not investment advice. Structured records carry basis labels (vendor spec / reported / estimate); market quotes are delayed/indicative.","attribution":"Records compiled from vendor documentation, official filings and reputable public reporting; market quotes via financial data providers. See /data-sources."}}