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Linux is a family of open source Unix-like operating systems based on the Linux kernel, an operating system kernel first released on September 17, 1991 by Linus Torvalds. Linux is typically packaged in a Linux distribution (or distro for short).

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Using an AMD GPU for NN training/inference? (self.linux)

submitted 1 year ago* (last edited 1 year ago) by leakybits to c/[email protected]

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I'm looking to buy a new GPU. My main use case will be training and running neural nets (tensorflow+pytorch); gaming isn't really a priority.

Thing is, I use wayland (via sway), and so I'd really prefer to get an AMD GPU. Nvidia doesn't seem very linux friendly at the moment, especially when it comes to wayland unfortunately.

On the other hand, Nvidia seems to be the clear frontrunner right now when it comes to NN acceleration. I'm worried that if I got an AMD GPU to accelerate my NN work, I'd just be wasting my money.

What do you all think?

Edit: I've used GPUs to accelerate NN models in the past, but they weren't my own, they were provided by my uni's research infra and/or google collab. So this would be the first time I'd be using my own GPU hardware for this purpose.

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[–] mrufrufin 1 points 1 year ago

A note about this, it looks like Hugging Face is partnering with AMD to improve this situation but it looks like they're starting with enterprise first: https://huggingface.co/blog/huggingface-and-amd . No specific platforms listed on that page but https://huggingface.co/amd mentions Linux. But yeah, looks like the situation as of right now is mostly about NVIDIA and I've heard about CUDA going through classes at school.