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
AI为何难以取代硬件工程师？深度解析硬件工程的不可替代性
bilibili讲嵌入式的小美老师
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于2022年8月训练完成，参数量不到2万亿；当前GPT-5.6约4万亿参数，Fable约10万亿参数，仅为GPT-4的5到6倍79% similarUnverified训练一个GPT-4量级的模型需要数亿美元投入，而调用其API构建应用的边际成本已降至极低78% similarVerifiedGPT-4级别模型训练所需算力相比GPT-3提升了约100倍78% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/10315API
curl https://kongchang.com/api/v1/knowledge/claims/10315MCP
get_claim(id=10315)