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I think you are taking the question too literally.

Hardware engineers can design FPGA-based hardware optimized for ML.

A second set of engineers then uses these boards/FPGA's just as they would GPU's.

They write code in whatever language to use them as ML co-processors.

This second group doesn't have to be composed of hardware engineers.

Today someone using a GPU doesn't have to be a hardware engineer who knows how to design a GPU. Same thing.




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