Data Gravity Is Draining Your AI Budget: The Hidden Cost of Training in Asia and Inferring in America
When training data lives in Asian data centers but inference workloads run stateside, the resulting network overhead quietly compounds into one of the most expensive inefficiencies in modern AI infrastructure. This analysis breaks down the true cost of misaligned data gravity, exposes redundant transfer patterns most engineering teams never audit, and outlines the architectural remedies that leading enterprises are deploying to reclaim 40% or more of their AI infrastructure spend.