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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).

Distributions include the Linux kernel and supporting system software and libraries, many of which are provided by the GNU Project. Many Linux distributions use the word "Linux" in their name, but the Free Software Foundation uses the name GNU/Linux to emphasize the importance of GNU software, causing some controversy.

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Using an AMD GPU for NN training/inference? (lemmy.world)

submitted 1 year ago* (last edited 1 year ago) by leakybits@lemmy.world to c/linux@lemmy.ml

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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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[–] meteokr@community.adiquaints.moe 2 points 1 year ago

Yeah GPUs never got standardized like x86 did from the old IBM machine days. GPUs are still operating on the mindset of "specific hardware" rather than something generic. If GPUs could be programmed on as easily as CPUs we could target something like vulkan for ML.

Even ARM faces similar, but different problems of the lack of standard boot methods.