Camper Was Really About Training Capable Foundational

Camper was really about training capable foundational models. Blackwell was about introducing new inference at scale. And now Ruben's going to unlock the agentic era. These agentic systems are living systems. So what we want to do is take live results from inference and build it into the model back again. And that's what we really call the AI loop that makes sure that the system continues to learn. think that things like storage and obviously compute networking and software will ultimately have to be rewritten to take advantage of accelerated computing. It's a massive ai infrastructure build up, but it's really difficult.