AI HAS A STORAGE PROBLEM

Compute creates intelligence. Data creates infrastructure demand. As AI scales, the systems that win won't be defined by how fast they process data, but by how efficiently they store, retain, and reuse it.

In this session, we explore why AI economics and efficiency change at scale and why architectures optimized for performance alone can’t handle the nature of AI at scale. The AI industry spends billions solving compute; now the new challenge is to keep, maintain, and reuse the data that AI creates.