Power


From grid to chip: optimising power for AI data centres


Meeting the growing demand for AI data centre capacity means overcoming the complex challenges of scaling compute, power, and cooling. Mattias Jansson, senior VP of Embedded & Critical Power at Flex, explores the power architectures needed to stay ahead.


T


he rapid integration of technologies such as AI and machine learning into everyday life has been driven by dramatic advances in computing power,


enabled by the latest generation of semiconductors and modern data centre infrastructure. Yet, as the deployment of high-performance computing systems accelerates, it is placing unprecedented pressure on data centre energy


requirements. According to the International Energy Agency (1)


, power consumption


from data centres could exceed 1,000 terawatt-hours (TWh) by 2026, matching the combined total electricity use of Canada, Poland, and Argentina in 2023.


Addressing the constraints of power system architectures in data centres Data centre operators need access to more power sources and the ability to efficiently distribute this power from the grid, through the facility and rack, and ultimately to the


Photo by kittirat roekburi


chip. At the same time, there is mounting pressure to reduce the capital outlay for computing infrastructure, including power supplies, distribution systems, and cooling


Over 80 per cent of data centre operations are served by Flex power solutions, cooling products and data centre services


solutions. Cutting energy costs and reducing environmental impact are equally critical. As operators aim to boost return on investment and gain a competitive edge through


infrastructure optimisation, maximising power conversion and minimising operational costs become top priorities. However, power system architectures face


18 June 2025


Components in Electronics


www.cieonline.co.uk


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