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AI has high data center energy costs — but there are solutions | MIT Sloan

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AI workloads have sent data center emissions skyrocketing. An MIT expert details ways to reduce energy use and promote sustainable AI. by Surging demand for artificial intelligence has had a significant environmental impact, especially when it comes to data center use. The International Energy Agency has estimated that global electricity demand from data centers could double between 2022 and 2026, fueled in part by AI adoption. “As we move from text to video to image, these AI models are growing larger and larger, and so is their energy impact,” said Vijay Gadepally, a senior scientist and principal investigator at MIT Lincoln Laboratory, where he leads the Supercomputing Center’s research initiatives. “This is going to grow into a pretty sizable amount of energy use and a growing contributor to emissions across the world.” What’s needed are strategies that boost data center sustainability. Organizations can counter rising energy demands and costs with several foundational practices, G

Surging demand for artificial intelligence has had a significant environmental impact, especially when it comes to data center use. The International Energy Agency has estimated that global electricity demand from data centers could double between 2022 and 2026, fueled in part by AI adoption. AI at Work Research and insights powering the intersection of AI and business, delivered monthly. Yes, I’d also like to subscribe to the Thinking Forward newsletter Email Leave this field blank “As we move from text to video to image, these AI models are growing larger and larger, and so is their energy i

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