AI infrastructure is rapidly pushing beyond the limits of traditional air-cooled data center design. With rack densities now approaching 1 MW, liquid cooling is no longer experimental: it is becoming a core requirement for deploying next-generation AI clusters at scale.

Yet many operators, developers, and enterprise buyers still face practical questions: What designs actually deploy? What scales reliably? And what can be supported and serviced over time?

This Data Center Frontier webinar moves beyond theory to focus on real-world liquid cooling strategies now entering production environments. Industry experts will discuss cooling architectures, operational tradeoffs, supply chain readiness, and service models that enable high-density AI deployments to move from pilot projects into repeatable infrastructure.