Cloud Without Borders: When AI Finally Learns to Share
Cloud sharing sounds easy until the people sharing it are not one company, not one data center, not one legal jurisdiction, and not even one scientific discipline. Inside a single enterprise, “AI platform” usually means a controlled environment: one cloud vendor, one identity system, one billing model, one preferred deployment stack, and one procurement department quietly pretending this is all strategic. In scientific research, the picture is messier. A climate group may have data in one national infrastructure, compute in another, collaborators across several countries, and privacy restrictions that prevent raw data from moving at all. A bioimaging team may want to publish a model, let others inspect its lineage, deploy it on external infrastructure, and still retain enough metadata for the next researcher to reproduce the result rather than merely admire the abstract. ...