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You need to separate training and inference usage of GPUs for this analysis.
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"Inference consumes 60–90% of total AI lifecycle costs." So shovel is not the right analogy, more like GPU = coal burning engine. And yes, coal was a big railroad expense, more so than financing construction debt.



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