Data centres by their nature consume high amounts of energy, which will continue to rise with the introduction of AI. Having to store and analyse data to be able to train machine learning (ML) and utilising large language models (LLMs) are constantly increasing the energy usage. When you look at GPT-3 alone, producing it requires 1,287 megawatts hours of electricity and results in 552 tons of CO2 emissions. That is equivalent to the emissions produced by 123 gasoline-powered passenger vehicles driven for a year. On top of that, data centres have adopted high-density racks, which allows them to house more services in smaller areas, which leads to an increased energy demand.
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