Unverified70% confidenceFactExact time
Training GPT-3 consumed approximately 3.14×10²³ FLOPs.
2
Sources
70%
Confidence
Long-term
Relevance
8/27/2026
First Seen
Sources
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Related Claims
VerifiedThe FLOPs required to train a GPT-4-scale model reach the order of 10²⁴ to 10²⁵.79% similarVerifiedThe computing power required to train a GPT-4-level model is approximately 100 times greater than that required for GPT-3.75% similarVerifiedResearch shows that a single training run of GPT-3 consumes approximately 700,000 liters of fresh water, though this figure is subject to considerable controversy due to varying system boundary definitions.71% similar
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