Personally, I'm taking _both_ sides of that bet.

I think Apple is going to make rapid and substantial advancements in on-device AI-specific hardware. I also think nVIDIA is going to continue to dominate the cloud infrastructure space for training foundational models for the foreseeable future, and serving user-facing LLM workloads for a long time as well.

edge inference? sure - but nvidia is not even a major player in that space now so i wouldn't really count that as 'taking on nvidia'.

Nvidia obviously has an enormous, enormous moat but I do think this is one of the areas in which Apple may actually GAF. The rollout of Apple Intelligence is going to make them the biggest provider of "edge" inference on day one. They're not going to be able to ride on optimism in services growth forever.

Apple simply does not have the talent pool to take on either nvidia or the big LLM providers anywhere on the stack except for edge inference.

If you're saying Apple is going to 'take on nvidia' in edge inference, then I don't disagree but I would hardly even count that as taking on nvidia.

I can't really dispute any of that.

It took almost a decade but the PA Semi acquisition showed that Apple was able to get out of the shadow of its PowerPC era.

Nvidia will remain a leader in this space for a long time. But things are going to play out wonky and Apple, when determined, are actually pretty good at executing on longer-term roadmaps.