And soon, it won't just be the people who are "playing around" with AI models on their home machine. It will be games and commercial products using ML at the cl

And soon, it won't just be the people who are "playing around" with AI models on their home machine. It will be games and commercial products using ML at the client level that will have system requirements around GPUs with a lot of memory for the better results. A lot of this can be done at the cloud level, but if you're clocking heavy hours on cloud GPU, that subscription model is going to be very expensive and will introduce latency if a lot of data needs to be exchanged. Since you can't (by the license agreement on NVidia's drivers) just throw a bunch of consumer-grade hardware in a datacenter to do ML loads like you can for mining, the price shoots up if you want to do the heavy lifting on a central server.