Verified90% confidenceFactTime unknown
Training a model at the level of GPT-4 requires tens of thousands of A100/H100 GPUs working in concert for several months.
23
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90%
Confidence
Long-term
Relevance
5/31/2026
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UnverifiedIndustry estimates suggest GPT-4's training used approximately 25,000 NVIDIA A100 GPUs over several months, with compute costs alone exceeding $100 million85% similarUnverifiedGPT-4 completed training in August 2022 with fewer than 2 trillion parameters; the current GPT-5.6 has approximately 4 trillion parameters and Fable approximately 10 trillion parameters, only 5 to 6 times that of GPT-4.79% similarVerifiedThe computing power required to train a GPT-4-level model is approximately 100 times greater than that required for GPT-3.78% similar
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