After two years of development and some deliberation, AMD decided that there is no business case for running CUDA applications on AMD GPUs. One of the terms of my contract with AMD was that if AMD did not find it fit for further development, I could release it. Which brings us to today.
I’m really curious who at AMD thought it to be a great idea to develop a CUDA compatibility layer but not to release it. As stated, the release was only made because AMD ended financial support.
Probably a way to save face and not have AMD directly do it.
Another common AMD W. So glad I got away from Nvidia. This will help my local work with LLMs nicely.
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.
If you already have a cuda workflow and want to use an AMD card, you can do that with this library.
So does it work with off the shelf software or is it something the developer has the patch in?
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.
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
Your question is legitimate, but chances are that you will need to find the answers yourself by reading the docs.
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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’."
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