Agentic AI infrastructure shifts enterprise focus from model choice to platform control
Enterprises are moving past 'which model?' to 'who controls the infrastructure?' — and reconsidering the cloud.

Why it matters
As agentic AI moves from pilot to production, the control surface shifts from model selection to platform strategy, cost governance, and data residency — forcing a reckoning with public cloud AI services.
The key facts
4 to knowFocus moving from model choice to platform control in agentic deployments
Cost, data exposure, and infrastructure emerging as primary enterprise concerns
Organizations questioning reliance on public cloud AI services alone
Agentic AI infrastructure transitioning from experimentation to production phase
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Publisher excerpt: As agentic AI infrastructure moves from experimentation into production, enterprises are confronting a more complex question than which model to use: how to control the cost, data exposure and infrastructure supporting production AI applications. That shift is pushing organizations to rethink how…