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Cooling is becoming a defining factor in the design and operation of gigawatt-scale AI factories, shaping everything from performance and energy efficiency to long-term resilience. Traditional approaches centered on removing heat from the data hall are giving way to integrated strategies that connect cooling with power infrastructure, thermal energy management and sustainability objectives. More demanding AI workloads, increasing power constraints and greater pressure to improve efficiency are driving a fundamental rethink of how cooling can support the next generation of digital infrastructure. Join this discussion to explore:

• The shift from data hall cooling to integrated thermal management
• Why cooling and power need to be designed together at gigawatt scale
• How waste heat can become a valuable resource rather than a by-product
• What it takes to manage competing priorities whilst scaling AI infrastructure