Unverified50% confidenceFactExact time
GPT-4的参数量据估计超过1万亿，训练过程涉及的浮点运算次数达到10²⁴数量级
1
Sources
50%
Confidence
Long-term
Relevance
7/13/2026
First Seen
Sources
AI Data Centers Flood Into Rural America: A Complete Analysis of Compute Expansion and Community Battles
hackernewshackernews7/9/2026
Related Claims
VerifiedThe parameter count of GPT-4 is estimated to exceed 1 trillion83% 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-4.82% similarUnverifiedGPT-4采用混合专家（MoE）架构，估计总参数量达1.8万亿，每次推理实际激活参数约为总量的1/878% 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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