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What does an ML-on-the-edge system chip do differently from other chips? Does it have a gpu or other accelerator on it?



Domain specific fixed function hardware could consume 10-100x less power than a gpu for the same workload. Think video decode or ‘YouTube battery life’ benchmarks but for speech recognition.


Some labs are developing analogue chips instead of digital




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