able to provide these despite neither buying nor generating renewable energy – a type of ‘ greenwashing ’. But there are other ways of physically reducing the amount of energy used .
In fact , cooling is responsible for 39 % of the total electricity cost of most data centres . This means it is equally important that organisations consider the physical environment of where their data centre sites are located . Using data centres in countries that have a cool and more consistent climate will ensure temperature and humidity levels within the data centre are maintained more efficiently , while also reducing energy outputs and pollution , and ultimately decreasing the overall carbon footprint and cost to the business . Sweden , for example , benefits from a circular economy whereby any excess energy like the heat generated in data centre facilities can be repurposed via heat recovery systems to heat homes in local communities . This significantly increases energy efficiency and lowers costs for clients .
It seems the future of AI capability is exciting , forward-thinking and revolutionary . And yet , as energy costs continue to increase , the financial and environmental impact of these technological advancements are set to skyrocket . To go some way to reduce this impact , businesses must look towards migrating their IT workloads to purposebuilt data centre sites , especially where the processing of large amounts of compute over high-density workloads is needed . Utilising sites that are located in cooler climates and use green and renewable energy will also go a long way to mitigate the ecological impact involved in AI and HPC . �