Scaling Liquid-Cooled AI Infrastructure: Water, Efficiency & Operational Resiliency

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Summary
As AI workloads push rack densities and power requirements to unprecedented levels, liquid cooling is rapidly moving from pilot deployments into mainstream data center infrastructure. But scaling these environments introduces new operational challenges around water management, cooling efficiency, resiliency, monitoring, and long-term facility sustainability. This webinar examines the infrastructure realities behind liquid-cooled AI deployments, exploring how operators are preparing facilities to support higher-density compute while balancing performance, efficiency, and operational risk. Attendees will gain insight into evolving strategies for cooling optimization, water usage, infrastructure planning, and operational visibility across both retrofit and greenfield environments.
Topics include:
- Water management and sustainability considerations
- Cooling infrastructure resiliency and operational readiness
- Monitoring and efficiency optimization strategies
- Preparing facilities for higher-density AI workloads
- Scaling liquid-cooled infrastructure for long-term growth

