Aurora AI Storage provides managed and monitored file, block, and object storage for AI workloads. Its single namespace automatically places data on appropriate media and applies lifecycle policies to move cold data to denser storage. It supports AI data lakes, checkpoints, inference memory and state, backup, and archival use cases.