USING AI INSIDE DATA CENTRES
“ In terms of site selection and infrastructure design, leveraging naturally cooled environments can make a substantial difference too,” he explains.“ Through our collaboration with Daimler, we supported the organisation to move its high-performance computing( HPC) cluster to the Lefdal Mine Datacenter in Norway. Located in a former mineral mine and powered entirely by renewable hydroelectric and wind energy, this facility benefits from natural cooling and stable underground temperatures, which substantially lowers the energy footprint of the data centre.
AI is playing a growing role in making data centres more intelligent and adaptive, which could help them to become more sustainable. For example, AI-driven predictive analytics can forecast data load trends and help optimise the allocation of resources, which reduces both overprovisioning and unnecessary energy use. Joseph explains:“ Through dynamic cooling control, AI systems can monitor processor loads and adjust cooling mechanisms in real time, making operations more energy efficient. AI can also aid in infrastructure planning by helping organisations assess when and how to scale their data infrastructure. For example, in a healthcare setting, AI might project increased data from IoT-enabled devices and recommend capacity expansions accordingly.”
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