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Taking Advantage of Neural Networks on Devices
The biggest pain points are when we think about network optimality. There's a lot of dimensions to it, there's the size of the network. And so this bridge, if you will, from ML ops, like what happens if you will in the cloud in the laboratory and a data scientist invents a new network architecture or they say, Hey, now deploy it. The deployment part turns out to be really pretty hard. That's really, I would say one of the key pain points right now with our software offering that we're developing.