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ARTICLE · 02 SEPTEMBER 2024

Innovations In AI Sustainability

Marks & Clerk
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Generative AI's rapid growth presents significant opportunities but raises concerns over its high energy consumption, potentially doubling data center power demand by 2030. Innovations in AI sustainability, like energy-efficient data centers and workload management, are essential to mitigating its environmental impact.

United KingdomTechnology
Tomas Karger
Tomas Karger
Franziska Luckert
Franziska Luckert
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Generative artificial intelligence (AI) has recently attracted a lot of attention. It is an artificial intelligence algorithm that is capable of generating different types of content, including text, images, videos or other data, for example in response to a user query. Examples of generative AI include Gemini, ChatGPT, AlphaCode, Midjourney and DALL-E. Generative AI is being used in a wide range of technologies, including software development, finance, healthcare, entertainment and many more. Its use is estimated to significantly increase in the coming years.

There are various concerns surrounding the use of generative AI, one of which relates to the energy usage of AI algorithms. According to Goldman Sachs, a ChatGPT query needs nearly 10 times as much electricity to process as a Google search. Analysts estimate that the power demand of data centres, which house the processing infrastructure used to run and train generative AI algorithms, will grow by 160% by 2030.

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