Nvidia went through a lot of effort to make CUDA operational on their entire lineup, and they did it before deep learning even took off.

You do this thing not because you expect consumers with 5 year old hardware to provide meaningful utilization but as a demo ("let me grab my old gaming machine and do some supercomputing real quick") and a signal that you intend to stay the course. AMD management hasn't realized this even after various Nvidia people said that this was exactly why they did it, at some point the absence of that signal is a signal that the AMD compute ecosystem is an unreliable investment, no?

I wanted to believe but anyone who has spent any time trying to run models locally knows this is not going to be solved by two lines of python running on rocm as the example shows.

ROCm is finally getting better due to a few well meaning engineers.

But let’s be honest, AMD has been an extremely bad citizen to non-corporate users.

For my iGPU I have to fake GFX900 and build things from source or staging packages to get that working. Support for GFX90c is finally in the pipeline…

The improvements feel like a bodyguard finally letting you through the door just because NVIDIA is eating their lunch and they don’t want their club to be empty.

They strongarm their customers to using “Enterprise” GPUs to be able to play with ROCm, and are only broadening their offerings for market share purposes.

Really shouldn’t reward this behavior.

Not so clear from their page but from

https://www.tipranks.com/news/amd-stock-slips-despite-a-majo...

I read:

" In addition to that, the update allows these agents to be turned into desktop apps for multiple operating systems. "

This seems like a new way to create app: Create an (AI) app that creates apps.

In case you are interested:

Requirement Minimum

Processor AMD Ryzen AI 300-series

ROCm has improved but the reality is you're still fighting the driver stack more than the models. If you're actually doing local inference on AMD you're spending your time on CUDA compatibility layers, not the AI part. Two lines of python is marketing, the gap between demo and working AMD setup is still real.

I would love to use your tool locally, AMD, if you'd support the AMD graphics card you sold me.

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