Where Is The Compute?

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Compute actually used by each lab

Estimated AI compute used by frontier labs, end of 2025OpenAI: median 1.74M (1.25M–2.19M); Google DeepMind: median 1.58M (1.01M–2.55M); Anthropic: median 1.19M (842K–1.72M); Meta Superintelligence Labs: median 996K (606K–1.64M); SpaceXAI (xAI): median 615K (551K–700K)0600K1.2M1.8M2.4M3MH100-equivalents · USED by lab · bar = median · whiskers = 90% CIOpenAI1.74M (1.25M–2.19M)Google DeepMind1.58M (1.01M–2.55M)Anthropic1.19M (842K–1.72M)Meta Superintelligence Labs996K (606K–1.64M)SpaceXAI (xAI)615K (551K–700K)
End of 2025. Includes research, training and inference. Bars are Epoch AI medians; whiskers are 90% confidence intervals. OpenAI’s lead is inside the error bars: DeepMind could plausibly be anywhere from ~1.0M to ~2.5M H100e.
Show data table
Compute used by lab, Dec 2025 (H100e)
LabMedian90% CI low90% CI highAs ofSource
OpenAI1,743,0001,251,0002,185,0002025-12-31Epoch AI
Google DeepMind1,583,0001,008,0002,549,0002025-12-31Epoch AI
Anthropic1,190,000842,0001,717,0002025-12-31Epoch AI
Meta Superintelligence Labs996,000606,0001,638,0002025-12-31Epoch AI
SpaceXAI (xAI)615,000551,000700,0002025-12-31Epoch AI

Sources: Epoch AI, “Introducing the AI Chip Users Explorer” (2026-09-09); Epoch AI, “Data on AI chip users” (2026-09-09)

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