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AMD Quietly Funded A Drop-In CUDA Implementation Built On ROCm: It's Now Open-Source (www.phoronix.com)

submitted 7 months ago by [email protected] to c/[email protected]

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[–] [email protected] 12 points 7 months ago* (last edited 7 months ago) (3 children)

Can someone please explain like I’m five what the meaning and impact of this will be? Past posts and comments don’t seem to be very clear. As someone who uses both Linux and macOS professionally for design, this could be a massive game changer for me.

[–] [email protected] 22 points 7 months ago (3 children)

If you already have a cuda workflow and want to use an AMD card, you can do that with this library.

[–] [email protected] 10 points 7 months ago

That includes stuff like Stable Diffusion that recommended nvidia cards because it uses CUDA to accelerate image generation?

[–] [email protected] 2 points 7 months ago (1 children)

So does it work with off the shelf software or is it something the developer has the patch in?

[–] [email protected] 2 points 7 months ago

So does it work with off the shelf software or is it something the developer has the patch in?

The point of a drop-in replacement is that no patching is required but in reality the software was released in incomplete form.

[–] [email protected] -2 points 7 months ago* (last edited 7 months ago) (1 children)

ok, I get that much. what I’d like to know, if you’re willing to explain: what’s it going to be like deploying that on, say, a Mac workstation? a pop_os workstation? (edit: such as: how, can I on macOS, will I work with after effects, etc.)

thanks for your time

[–] [email protected] 2 points 7 months ago

Your question is legitimate, but chances are that you will need to find the answers yourself by reading the docs.

[–] [email protected] 11 points 7 months ago (1 children)

CUDA is when a program can use the NVIDIA GPU in addition to the CPU for some complicated calculations. AMD now made it possible to use their cards for it too.

[–] [email protected] 3 points 7 months ago* (last edited 7 months ago) (1 children)

I know what CUDA does (as someone who likes rendering stuff, but with AMD cards, I’ve missed it). I’m trying to figure out, realistically, how I can easily deploy and make use of it on my linux and Mac workstations.

the details o’ve come across lately have been a bit… vague.

edit: back when I was in design school, I heard, “when Adobe loves a video card very much, it will hardware accelerate. We call this ‘CUDA’."

[–] [email protected] 1 points 7 months ago

You can't use it with programs that aren't specifically coded to use it. Outside of hash cracking, AI training and crypto mining, few programs are.

If you mean from a developer perspective, you need to download the CUDA libraries and read through the documentation.