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The rush to build AI infrastructure is creating a new problem: organizations are investing in capacity before they fully understand their future requirements. Before deploying AI workloads, operators need visibility into how their environments are connected and whether existing resources can support future demand. Operators who succeed in the AI race will be those with full oversight over their facility, with operational data and facility information that translates into actionable insight and long-term AI strategy. In particular we address:
- Where AI infrastructure fits within existing data center environments
- Creating repeatable processes for deploying and operating AI infrastructure
- Managing the operational impact of increasingly demanding workloads
- Preparing data center operations for continued AI-driven growth
