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

On-demand pricing lets cloud customers consume what they need, but costs can spiral out of control

Organizations can cut cloud carbon emissions and costs by migrating workloads to different regions, if users can tolerate extra latency

Cloud prices are generally trending downwards. But the inherent flexibility of cloud means providers can easily increase prices too