[mkaic]

> I know those cards are second class citizens in the world of deep learning,

It's worse than that. AMD cards aren't second class citizens, they're not even on the same playing field. ROCm can't compete with CUDA and its ecosystem at all, the most popular deep learning frameworks are only experimentally supported, and Nvidia ships more dedicated tensor processing cores for AI acceleration on their cards. Nvidia has a near monopoly in AI not because they're particularly amazing, but because it seems like AMD is just uninterested in competing.

[arvinsim]

I don't think that AMD is uninterested in competing.

It is just that the mindshare is swallowed up by Nvidia that it is really difficult to use something else even if you want to.

[kouteiheika]

> I don't think that AMD is uninterested in competing.

I also think they're not interested. Either that or just simply incompetent.

For example, just look at this issue and see the huge mess:

https://github.com/RadeonOpenCompute/ROCm/issues/1714

With NVidia I can just buy any random GPU and expect it to work for everything I throw at it (at long as it has enough VRAM). With AMD it's a roulette, and only a handful of very expensive server/workstation GPUs (8 in total if I'm counting it right) are actually officially supported. It's a joke.

They need to better support their own products, and they need to officially support all of their consumer GPUs to expand their mindshare. They're not doing that. From what I can see they only seem to be interested in the traditional HPC space.