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I can't imagine that the overlap between those using Scikit-Learn and those willing to buy and integrate ML-specialized hardware is that high. I think a lot of real-world usage of simpler ML libraries like Scikit-Learn is deploying small models onto an already existing x86 or ARM system which had cycles to spare for some basic classification or regression.


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