Egress fees are the silent killer of AI infrastructure budgets. As AI teams scale their models, datasets, and compute needs, they often face a nasty surprise: astronomical charges just to move their own data between clouds or to alternative compute environments. These fees—common among hyperscaler platforms like AWS, Azure, and GCP—cripple innovation, restrict flexibility, and distort your infrastructure strategy.