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> a dedicated Nvidia rig

I am honestly shocked Nvidia has been allowed to maintain their moat with cuda. It seems like AMD would have a ton to gain just spending a couple million a year to implement all the relevant ML libraries with a non-cuda back-end.

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AMD doesn’t really seem inclined toward building developer ecosystems in general.

Intel seems like they could have some interesting stuff in the annoyingly named “OneAPI” suite but I ran it on my iGPU so I have no idea if it is actually good. It was easy to use, though!

There are quite a few back and forth X/Twitter storms in teacups between George Hotz / tinygrad and the AMD management about opening up the firmware for custom ML integrations to replace CUDA but last I checked they were running into walls

I don't understand why you would need custom firmware. It seems like you could go a long way just implementing back-ends for popular ML libraries in openCL / compute shaders

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