Strategies to decarbonise AI
7 Articles
7 Articles
Strategies to decarbonise AI
The accelerating adoption of artificial intelligence (AI) is driving up energy consumption and greenhouse gas (GHG) emissions across the AI value chain, raising urgent concerns about its long-term sustainability and the environmental impact on tech giants. In response, new research outlines key strategies to decarbonise AI, focusing on improvements in energy sourcing, data centre infrastructure, and technology innovation, reveals GlobalData. The…
Research quantifies environmental impact of liquid cooling in data centers
Large data centers are necessary for driving next-gen technologies including large language models (LLMs) and generative and agentic AI. However, their environmental challenges are increasingly concerning. “Strong action is necessary,” Microsoft researchers wrote in a new paper published in Nature. “However, without understanding the overall environmental implications of new technologies, organizations find it difficult to chart a path to their …
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