Given the enormous computational power that will go into AI, optimizing hardware with machine learning is an important idea. The hardware design is a set of features. The modeling process is about discovering a set of feasible hardware parameters for a set of workloads, such that the desired objective function (e.g., the weighted average of runtime) is minimized. I’m sure people at NVidia and other manufacturers are paying close attention.
https://ai.googleblog.com/2021/02/machine-learning-for-computer.html
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