NVIDIA once again dominated a near-empty field of AI competitors in MLPerf Inference V2.0. Let’s explore why other chip companies don’t want to play.
I’ve spoken to a few customers about their experience running inference on these novel platforms, and in general the results are promising. So why not publish and provide a public tabulation of which chips are good at which problems? There are several reasons: Performing those optimizations will produce a better product, but publishing the results can risky. You don’t want to be slower than NVIDIA. Frankly we suspect everyoneslower than NVIDIA on a chip-to-chip basis. So one would have to find a different way to interpret the results, as Qualcomm has done by touting energy efficiency. But,...
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