And perhaps more basically, what for? How much machine learning is done on user machines, as opposed to renting some cloud time? What are they anticipating will be done?
I ask these questions in genuine curiousity, I assume I'm missing something but this just seems like a rather wild divergence from what (very little) I knew of the ML field.