D A T A C E N T R E P R E D I C T I O N S
AI acceleration using 3D optics is a pioneering new approach to maximising the energy efficiency and performance of data centres , creating cost-efficient processing that can reduce power consumption while meeting AI performance .
Here are three reasons why TCO is rising and how 3D optics can help tackle them .
1 . AI is rapidly increasing data centre capacity demand
McKinsey recently released an eyeopening new study on the global demand for new data centre capacity , predicting that the overall demand for data centre capacity “ could rise at an annual rate of between 19 and 22 per cent from 2023 to 2030 ”. The report highlights that AI is the driving force behind this , with AI-ready data centre capacity demand at 33 % and GenAI at 39 %.
To create this capacity , not only are the major cloud service providers building their new data centres but also partnering with colocation providers to use their facilities . But while McKinsey notes the prices charged by colocation providers “ fell steadily from 2014 to 2020 in most primary markets ”, they “ then rose by an average of 35 per cent between 2020 and 2023 ”, clearly reflecting the demand .
While this demand cannot be met solely by reusing or upgrading current infrastructure , it should be part of the overall mix both to reduce the need to build new infrastructure and to improve sustainability . To achieve this , the industry needs to adopt new ways of performing AI computation and reduce the power needed for AI processing , so that the processing can be done within the power limits of these data centres .
This will take vision and leadership but given the power capacity constraints
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