The main issue it's CUDA. Most ML developers use it, or use libraries that depends on CUDA as an envoirments.
There are brand agnostic alternatives, but they are less popular and usually slower.
There are brand agnostic alternatives, but they are less popular and usually slower.
I'm curiously watching Intel and their OneAPI platform; but it just feels like they're starting from so far behind. And Intel hasn't exactly had a stellar few years on top of that.
The issue is that the Radeon platform isn’t well developed, and AMD is charging as much as they can get for their cards just like Nvidia. if they had working competitive compute they’d also charge as much as Nvidia, and make more money on fewer cards sold.
I think there’s just something with card architecture that makes it not as good as Nvidia for this purpose. Just like mining bitcoins or VR, sometimes card architecture makes a difference.
Another thing that could happen with so much money in the AI hype train right now, I wonder if we will see something similar to bitcoin, with special ASIC chips optimized for specific models like ChatGPT, CLIP or Stable Diffusion, or some shift to FPGAs.