Then it's unfortunate Apple decided to integrate AMD and Intel cards into MacBook Pro's instead of Nvidia. Many ML researchers probably use MBP's but can't leverage acceleration.
Eh, it's not really that consequential because anything big will need way more horsepower than you're gonna get on any mobile GPU to be able to done in a reasonable amount of time. We built a CLI tool for our stuff on AWS and our gaming/ML desktop at the office specifically because everyone is on laptops and training or evals are so slow.
It really is. I stopped playing around with CUDA precisely because Apple dropped Nvidia GPUs. Granted to anything serious you want something other than a laptop but it's still nice for quick prototyping (I'm referring to CUDA in general not just using it for ML).