· 7 min read
Why Air-Gapped Changes Every Assumption in Your ML Pipeline
An air gap is usually treated as a deployment constraint, something to solve at the end with a USB drive and a procedure. It is not. It invalidates assumptions at every stage of the pipeline: how you get data, how you version artifacts, how you know what is running, how you evaluate, and how you find out anything went wrong.