I had a laptop with NVIDIA GPU that crashed Xorg and had to be rebooted whenever Firefox opened WebGL. Just to complement the positive sibling comments :-)
Linus might know his way around UNIX clones and SCM systems, however he doesn't do graphics.
NVidia tooling is the best among all GPU vendors.
CUDA has been polyglot since version 3.0, you get proper IDE and GPGPU debugging tools, and a plethora of libraries for most uses cases one could think of using a GPGPU for.
OpenCL did not fail only because of NVidia not caring, Intel and AMD have hardly done anything with it that could compete on the same tooling level.
I like CUDA, that stuff works and is rewarding to use. The only problem is the tons and tons of hoops one must jump to use it in servers. Because a server with a GPU is so expensive, you can't just rent one and have it running 24x7 if you don't have work for it to do, so you need a serverless or auto-scaling deployment. That increases your development workload. Then there is the matter of renting a server with GPU; that's still a bit of a specialty offering. Until the other day, even major cloud providers (i.e. AWS and Google) offered GPUs only in certain datacenters.
I had an Ubuntu 18.04 install that "randomly" started dying (freezing) with my GTX1080 at some point. Pinpointed it to the combination of that GPU + Linux. I didn't want to bother with reconfiguring my WC loop / buying an expensive GPU, so I just gave up and switched to a perfectly stable Windows + WSL.
over the past two decades that I've used nvidia products for opengl and other related things, my experince has been largely positive although I find installing both the dev packages and the runtimes I need to be cumbersome.