Imagine training your AI model on a highway where every mile adds a new… | Casey Crowell

Imagine training your AI model on a highway where every mile adds a new toll—each experiment quietly inflating your bill. What if every terabyte generated came with a surprise surcharge, like parking meters tacking on hidden fees after you’ve already parked? Petabyte-size AI workflows force legacy storage into a silent profit siphon—draining budgets. (think egress fees, throttled performance, opaque pricing) Imagine an S3-compatible object storage platform that delivers enterprise-grade security and scalability at a 1/5th of the cost. For these solutions to thrive in data-heavy use cases, rapid access and individualized permissions are non-negotiable. By eliminating cost surprises, they convert storage savings into faster model iteration, bolder experiments, and unconstrained growth. The lesson? In the AI race, your storage infrastructure isn’t just a warehouse—it’s the foundation of your velocity. (Interested in how teams are cutting storage costs by 80% without sacrificing performance? Let’s discuss.)