Private cloud grows up as enterprises push AI into production
Enterprise AI is reshaping the cloud-vs-on-prem equation. Private infrastructure is winning.
Why it matters
As agentic AI moves from pilot to production, enterprises are shifting inference workloads back on-premises for data sovereignty, cost control, and operational ownership — a fundamental shift in compute economics and architecture.
The key facts
10 to knowEnterprise infrastructure being rebuilt around agentic AI deployment
Inference workload scaling driving on-prem vs cloud trade-off decisions
Private cloud environments prioritized for data, cost, and control
Shift in IT team focus from model selection to infrastructure placement
VMware and enterprise infrastructure vendors repositioning around this trend
Enterprise infrastructure being rebuilt around agentic AI
Inference workload scaling driving shift toward private environments
Focus moving from model choice to deployment location (on-prem vs cloud)
Data, cost, and control as primary decision drivers
Private cloud growing as enterprises move to production deployments
Go to the source
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Publisher excerpt: Enterprise infrastructure is being rebuilt around agentic AI, and the center of gravity is shifting back toward private environments where data, cost and control sit under one roof. As inference workloads scale, the questions facing information technology teams are less about model choice and more…