As robots move from demos to fleets, they need a memory architecture that spans the robot, the edge, and the cloud, built on DataSpace and SyncEngine as a distributed operating system for physical AI. Using a marquee physical-AI deployment as the example, this session shows how a unified namespace lets robots learn from shared experience while data flows across every tier.