

I’m confused — GPUs main function is to be able to do lot’s of calculations in parallel, vs a CPU which does one thing at a time (simplistically).
GPUs aren’t only used solely for video, it’s just that graphics are an excellent use case for this type of processing.
So I don’t think AI companies are buying GPUs for video output and more because they can process lots of training calculations in parallel. Like how bitcoin miners use GPUs even though there’s no video involved in that






I suspect it’s not a lack of playtesters that’s the problem, but harsh deadlines and crunch. That type of environment leads to tech debt to get things working fast, which leads to hard-to-manage code, which leads to bugs…