Folks are concerned that nvidia won't support these efforts if it gets models running on competing hardware. Two responses:

- The projects started without HF/nvidia involvement and were massively successful BECAUSE folks want to run models on their own devices.

- With highly capable agents, "hard to implement" should be less of a barrier. The inference market should in some sense become more efficient, as agents should make it easier to transition between software and hardware solutions. Sure there might be less training data for integration platforms, but if we've learned anything in the past few weeks, it's that agents can be remarkably persistent.