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Balancing speed to scale with flexibility, sustainability, and community impact
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
Speakers
Mihir Nandkeolyar
Datacenter Global Business Development Manager Johnson Controls
Mihir Nandkeolyar has been in the HVAC industry and closely supporting the data center thermal management vertical for 12 years. In prior roles, Mihir managed Applications Engineering teams in Pune and York Pennsylvania, and also held a regional sales manager role in northern USA and Canada.
Mihir currently is the manager of technology strategy and business development for the Global Data Center Solutions business unit at Johnson Controls. Mihir holds a bachelor’s degree in electrical engineering from Ohio State University, and studied Energy Policy and Climate from Johns Hopkins University in Washington DC.