Hugging Face 共享训练算力从 4000 万增至约 10 亿美元

有趣又疯狂的餐巾纸数学：Meta、NVIDIA、阿里巴巴、DeepSeek、Moonshot、Mistral 以及约 30 家其他实验室已在 Hugging Face Hub 上共享了价值接近 10 亿美元的训练算力 免费下载 2023 年底时还不到 4000 万美元 维基百科是用志愿者的时间写成的。这个 AI 时代的公共资源是用 GPU 小时和数据写成的 （顺便说一句，这是下限：约一半来自官方算力数字，其余是合理推测，而且仍未计入约 90 万个社区微调） 可探索数据的 Space：https://t.co/hy28to6BiR

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Fun and crazy napkin math: Meta, NVIDIA, Alibaba, DeepSeek, Moonshot, Mistral and ~30 other labs have shared close to $1B worth of training compute on the Hugging Face Hub Free to download End of 2023 it was under $40M Wikipedia was written in volunteer hours. This AI age commons is written in GPU-hours and data (it's a floor btw: about half comes from official compute numbers rest is educated guess and it still miss the ~900k community fine-tunes) Space with data to explore: https://t.co/hy28to6BiR