Daniel Thorpe, Head of EMEA Data Centre Research at JLL, discusses the scale of demand for UK data centre real estate driven by AI, alongside the challenges and opportunities around power availability.
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DCA Data Centre Transformation Conference 2025
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Keith Sullivan, Director of Strategic Innovation at AFL, explains what meshing means in the context of data centres and why it is particularly important when it comes to GPU-intensive, AI compute workloads. Keith also outlines the common strategies used to implement meshing in a data centre and shares his thoughts as to how meshing will evolve over the next few years, with silicon photonics and co-packaged optics on the horizon.
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David Hurtado, Managing Director of Quetta Data Centers, discusses the impact of AI on the data centre market, explaining that today’s focus on LLMs and training will soon be joined by AI inferencing, where low latency at the edge will be crucial in delivering an optimised application experience. David also discusses the need for liquid cooling in high density data centre environments and outlines how Quetta is developing an AI data centre portfolio for the Iberian peninsula.
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Noam Brousard, Vice President, Solutions Engineering, proteanTecs, explains how semiconductors are straining under GenAI workloads such as model training, inference, and high-performance AI applications, and are quietly bleeding energy across data centres. proteanTecs has invented ML-driven deep data health & performance monitoring, which enables AI chipmakers to reclaim 8 - 14% in power savings without sacrificing performance, by eliminating the energy waste baked into traditional design. This also decreases the amount of water needed to cool down servers. For a data centre like Meta’s Hyperion, that would mean savings of up to 700 megawatts or enough power for more than 200,000 homes.
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