If you’re someone who reallse uses CUDA and all their stuff and don’t care about Wayland. NVidia is the choice you have to make. Simple as that.
If you don’t care about those things or are willing to sacrifice time and tinker around with AMDs subpar alternatives, AMD is the way to go.
Because let’s face it. AMD didn’t care about machine learning stuff and they only now begin to dabble in it. They lost a huge amount of people who work with those things as their day job. They can’t tell their bosses and/or clients that they can’t work for a week or two until they figured out how to get this alternative running that is just starting to care about that field of work.
Luckily the only way I’m gonna use ML is on my workstation server, which will have it’s Quadro M2000 replaced/complemented by my GTX 1070 once I have an AMD GPU in my main PC, because on that I mainly care about running games in 4k, with high settings but without much Raytracing, on Wayland.
Even now, choosing between a free 4090 or a free 7900 XTX would be easy.
It totally depends on your usecase.
NVidia runs 100% rocksolid on X11.
If you’re someone who reallse uses CUDA and all their stuff and don’t care about Wayland. NVidia is the choice you have to make. Simple as that.
If you don’t care about those things or are willing to sacrifice time and tinker around with AMDs subpar alternatives, AMD is the way to go.
Because let’s face it. AMD didn’t care about machine learning stuff and they only now begin to dabble in it. They lost a huge amount of people who work with those things as their day job. They can’t tell their bosses and/or clients that they can’t work for a week or two until they figured out how to get this alternative running that is just starting to care about that field of work.
Luckily the only way I’m gonna use ML is on my workstation server, which will have it’s Quadro M2000 replaced/complemented by my GTX 1070 once I have an AMD GPU in my main PC, because on that I mainly care about running games in 4k, with high settings but without much Raytracing, on Wayland.
These hypothetical people should use Google Colab or similar services for ML/AI, since it’s far cheaper than owning a 4090 or an a100.
These absolutely not hypothetical people should absolutely NOT be using Google Colab.
Keep your data to yourself, don’t run shit in the cloud that can be run offline.
Exactly what data are you worried about giving to Colab?