How to Optimize GPUs and GPUs for Machine Learning

So we're getting in a lot of videos and video is very much unlike, let's say, training on images or text. Video is quite literally a dimension more complicated. And so that's why we needed to go end to end from the storage layer down to de-accelerate and optimize every single piece of that. Because we train on the photon count videos that come directly from our fleet, we train on those directly. We do not post process those at all. The way it's just done is we seek exactly to the frames we select for our batch. This is all in a very nice byte torch extension. So on more than 30% training speed increase for the occupancy networks