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#nvidia#local#huggingface#models#should#agents#why#folks#won#hardware

Discussion (9 Comments)Read Original on HackerNews
- 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.
This is like a company buying your local public pool, and you trying to convince everyone that things won't slowly turn to crap.
X threw a fit.
Can we take this as an official statement that Nvidia supports local models?
Why would Nvidia increase GPU efficiency for local models? Surely they'll operate like athletes and only establish a new record from time to time when necessary.
The first reply on the X thread is by Gerardo Delgado, who is "Sr. Director of Product - Local AI, Creators, Developers @NVIDIA" according to his profile. In his post, he says "My team's goal at NVIDIA is to grow Local AI."