You can now ask questions directly within our broadcasts using our new AskAI feature.

AI workloads are forcing a fundamental rethink of how data centers are designed. Power, cooling, and compute must now be planned as a single integrated system: from chip-level heat collection through to facility-wide heat rejection and reuse. This session examines the design principles, architectural decisions, and controls for building facilities that can scale with AI. We will discuss:

• Full thermal chain design from rack heat collection through to heat rejection and reuse, and why a gap anywhere in the chain creates risk
• Grid versus BYOP&C as a capacity unlock, not a grid workaround, and why controls determine whether it delivers value
• Digital twins as a core engineering methodology, from pre-build simulation through to closed-loop optimization in live operations