Dedicated AI infrastructure helps ensure data is controlled, compliant and secure, while models remain accurate and differentiated. But is it cost effective?

Enterprises have various options on how and where to deploy their AI training and inference workloads

Is it economic for large companies to use public cloud? Or does private cloud hold the answers?