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TRAINING COMPUTE

Peak training compute of the largest known AI model
SIGNAL ID · 03
LIVE
500.0
YFLOP 2× / 3.5mo
UPDATED
2026-05-26 18:02:53 UTC
UPDATE FREQUENCY
weekly
DATA POINTS
6
EVIDENCE PASSPORT
LAST FETCH
2026-05-26 18:02:53 UTC
AGE
13m ago
METHODOLOGY
v1.0
CONFIDENCE
MEDIUM
MEASUREMENT RISK
MEDIUM
EVIDENCE STRENGTH
●●○ MODERATE
COLLECTION
live_csv
SNAPSHOT
ce59d194
FLAGS
ESTIMATE
VIEW SOURCE → VIEW JSON DOWNLOAD JSON
WHY THIS SIGNAL MATTERS
Tracks peak known training compute (total FLOP) for the largest disclosed AI model. Values are publisher-reported or expert-estimated, exclude inference compute, and lag whenever labs withhold figures.
KNOWN LIMITATIONS
  • Many frontier labs do not disclose exact training compute
  • Values may be approximate estimates by Epoch AI researchers
  • Excludes inference compute and post-training fine-tuning
AI INSIGHT · POWERED BY DEEPSEEK GENERATING…
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AI LENSES EXPERIMENTAL

Experimental model-generated interpretation of this verified signal.

The value and Evidence Passport above are evidence-backed; AI lenses are interpretive and may be incomplete or wrong.

TREND · LAST 90 DAYS
METHODOLOGY
Highest known training compute (total FLOP, not FLOPS-per-second) for any AI model in Epoch AI's notable models database. Values are publisher-reported or expert-estimated. Doubling time computed via least-squares regression on log(compute) over the last 36 months.
SOURCE
Epoch AI Compute Database ↗
SIGNAL TYPE
FLOP (total)
RAW DATA · LAST 30 ENTRIES DOWNLOAD JSON ↗
DATE VALUE DELTA TIMESTAMP (UTC)
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OTHER SIGNALS
01 FRONTIER MODELS 02 RESEARCH VELOCITY 04 SAFETY INCIDENTS 05 HF UPLOADS 06 API COST FLOOR 07 AI STOCK INDEX 08 GPU H100 / HR 09 CODING FRONTIER
NOTE ON AI ANALYSIS

AI-assisted perspectives are generated through external frontier model APIs. Provider identities may rotate. mohamed.tech performs synthesis, caching, and presentation.