[kouteiheika]

> Why haven't they just upstreamed them to PyTorch for better adoption?

They don't seem to care, or don't understand how to get broader adoption.

For some reason AMD's management is dead set on targeting only the high end part of the market. Like, for example, look at this blog post. Which model they're testing? DeepSeek R1, the 671B behemoth that no normal person can run. Or look at any of their tutorials/docs and see which GPUs they support - it's always only either the unobtanium-grade enterprise GPUs, or high end workstation cards that no one buys. And if your strategy is to target only the super rich entities then a little jank in the software isn't really all that punishing - if you can afford to drop a few million on GPUs then you can also afford to hire someone to spend a few weeks getting AMD's software to work/get it tuned by tweaking two dozen environment variables they do seem to like so much/etc.

[saagarjha]

> For some reason AMD's management is dead set on targeting only the high end part of the market.

Because those people are dropping $100 billion on GPU clusters and individuals are not

[impossiblefork]

Yes, but researchers use Pytorch and those researchers end up being the end users of the GPU clusters.

NVIDIA GPUs sell so well because they work with what researchers actually use.

[saagarjha]

Oh I definitely think they should upstream to PyTorch, I'm just saying doing the usual "why doesn't AMD think of the gamers^W^W^W^W^W local model users" is not going to sway their policies.