Earlier quoted context omitted.
Why so?
Because training usually requires bigger batches, doing a backward pass instead of just the forward pass, storing optimizer states in memory etc. This means it takes a lot more RAM than inference, so much more that you can't run it on a single GPU. If you're training on more than one GPU, the speed at which you can exchange data between them suddenly becomes your bottleneck. To alleviate that problem, you need extrem…
Those are real questions and not argumentative questions.