How much useful work can an AI factory get out of the power it has?
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How much useful work can an AI factory get out of the power it has? I sat down with @nvidia 's Shruti Koparkar to talk about the economics and software behind AI infrastructure. We discuss why she would test performance per watt first, what CUDA and CUDA-X actually do, and how Pinterest has used the same GPU fleet for recommendation systems, language models and vision-language models. We also get into what happens when a new AI model launches, and when it makes sense to keep, repurpose or replace older GPUs. YouTube down below:
Posted by Chubby♨️ (156.1k followers) 1 h ago · 53 likes · 7.6k views · view the original post on X. Kept by the Dev Radar as Hosting & infra.
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