As AI workloads scale rapidly, the energy intensity of AI data centres is becoming a critical challenge for operators and policymakers alike. Balancing high-performance computing demands with sustainability targets requires a fundamental rethink of how AI infrastructure is designed, cooled, and powered.

 

This panel explores how heat reuse and carbon-reduction strategies can transform AI data centres into more sustainable assets. Industry and research experts will discuss liquid cooling, thermal energy recovery, and integration with district heating and other local energy systems, alongside design, lifecycle carbon, and policy considerations shaping the future of low-carbon AI infrastructure.