As artificial intelligence workloads continue to scale exponentially, the energy intensity of AI data centres has become a defining challenge for both operators and policymakers. The convergence of high-performance computing, advanced cooling technologies and sustainability targets presents an urgent opportunity – and responsibility – to reimagine AI infrastructure for a decarbonised future.

 

This panel will explore strategies to optimise AI data centres for heat reuse and carbon reduction, examining both technical and systemic solutions. Experts from industry, research and the energy sector will discuss how liquid cooling, thermal energy recovery and integration with greenhouses and district heating networks can transform waste heat into a valuable resource. The session will also address design considerations for high-density AI clusters, life-cycle carbon accounting and policy frameworks that incentivise low-carbon operations.

 

By connecting advances in cooling technology with circular energy systems, this discussion aims to chart a practical roadmap for sustainable AI growth – turning today’s data heat challenge into tomorrow’s energy opportunity.

 

In addition, David and Stefan, as former volunteer leaders of the EMEA OCP community and founders of the DDP Group (Data Centre Decarbonisation Project), together with fellow professionals from the data centre industry, will share insights into the latest innovations and technologies, offering their perspective on the near future of the industry.