Verified90% confidenceFactTime unknown
训练一次GPT-4级别的模型需要数万块A100/H100 GPU协同工作数月
10
Sources
90%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
Related Entities
Related Claims
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% similarUnverifiedTraining a model on the scale of GPT-4 requires hundreds of millions of dollars in investment, while the marginal cost of building applications by calling its API has dropped to extremely low levels.78% 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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