For AI teams, data infrastructure is mission-critical—but often fragile. Many AI tools, scripts, and workflows are tightly coupled with Amazon S3 APIs, making storage a sensitive and high-risk part of your tech stack. As a result, when the costs of S3 storage and egress fees pile up, switching storage providers feels too risky, too complex, or too time-consuming.
But what if you didn’t have to re-architect anything to switch? What if you could slash your cloud storage costs by 70–80%, avoid egress penalties, and maintain your existing data workflows?

That’s where S3-compatible object storage comes in.
In this guide, we’ll show you how to break free from S3 pricing without sacrificing compatibility—so your AI workflows stay intact, your engineers remain focused, and your budget breathes again.