I’ve been really wanting to swap to a Wayland WM but I tried several of them and had numerous flickering and black screen issues. You would think nvidia would be catering more to Linux audiences since that’s where a lot of ML dev and training will be done
Nobody trains on a GUI desktop though. Training is done on a cluster. And the kind of models that can be run on a consumer grade GPU… Nvidia doesn’t care about. They’re focused on selling 50k a pop cards to AI companies not fixing the Linux desktop for $600 card users.
It’s pretty clear that Linux users should buy AMD or Intel GPUs if you want to support even a semi open source world
I think no one super serious trains on a desktop but there are bunch of hobbyists that are going to start appearing as tools become more friendly and AI becomes more mainstream. It’s still a decent market and nVidia would do well to make their cards more friendly on Linux in general because it’s finally gaining some decent popularity.
I’ve been really wanting to swap to a Wayland WM but I tried several of them and had numerous flickering and black screen issues. You would think nvidia would be catering more to Linux audiences since that’s where a lot of ML dev and training will be done
Nobody trains on a GUI desktop though. Training is done on a cluster. And the kind of models that can be run on a consumer grade GPU… Nvidia doesn’t care about. They’re focused on selling 50k a pop cards to AI companies not fixing the Linux desktop for $600 card users.
It’s pretty clear that Linux users should buy AMD or Intel GPUs if you want to support even a semi open source world
I think no one super serious trains on a desktop but there are bunch of hobbyists that are going to start appearing as tools become more friendly and AI becomes more mainstream. It’s still a decent market and nVidia would do well to make their cards more friendly on Linux in general because it’s finally gaining some decent popularity.