Converging File and Object Storage for AI-Scale Data Architectures
The same dataset should not need to exist twice just to be useful. Yet in most environments, it does. One version lives in a file system, shaped for enterprise users and applications that expect paths, directories, and mutable state. Another version is exported into object storage so distributed engines and AI pipelines can process it…