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AI infrastructure is scaling rapidly, pushing operators toward reference architectures that can accelerate deployment while maintaining the flexibility needed for site-specific requirements. Cooling is no longer being designed as a standalone facility layer, but as part of a broader system architecture spanning power, resilience, and long-term scalability. This session will explore how configurable AI factory designs are shaping the future of high-density cooling infrastructure, enabling faster deployment across global markets while adapting to regional conditions, operational priorities, and evolving workload demands. Join this session to uncover:

• What emerging AI factory reference architectures reveal about the future of scalable thermal infrastructure
• How operators can balance standardized deployment models with site-specific optimization
• The role of standardized thermal designs in improving installation quality, operational consistency, and long-term uptime across AI deployments
• How modular and repeatable cooling system designs can simplify operations and accelerate deployment across regions