★
Menu
Home How It's Built Watchlist The Stack
Hardware ChipsCompare Chips Servers & SystemsNetworking MemoryFoundries & Packaging Cooling
Facilities Data CentersPower ProjectsCloud & GPU Compute
Intelligence AI ModelsSoftware AI ProductsBenchmarks Research PapersDatasets Concepts
Ecosystem CompaniesStocks PeopleTimeline TrendsFuture of AI
Learn News Ask the Data AI Agents
About About us Methodology Data & API Disclaimer
Options
DATA & API

Free read-only JSON access to the site's cached data.

Dark mode

Guided View
New to chips, data centers and model jargon? We explain key terms as you browse, in plain English. Same data, with the help built in.

Expert View
You already know the stack. Just the data: clean, fast and compact, with no extra explanations. This is the default view.

Interface language
‹ Back
Home › Concepts › FLOPS & Precision Formats

FLOPS & Precision Formats

Concept Hardware & Compute

How compute is counted — and why the same chip has five different numbers.

You're looking at a concept explainer: what this term means in plain English, and the records it ties together.

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.

How this connects to the rest of the stack

Related · 3 FLOPS & Precision Formats

This record's links at a glance — click a group to jump to it.

Sources

Epoch AI compute data ↗

Record reviewed as of 2026-01-15 — see Methodology.