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Greener Algorithms: Reducing the Environmental Impact of Generative AI

By Josh Miller|Source: Deutsche Welle|Read Time: 1 mins|Share

Greener Algorithms: Reducing the Environmental Impact of Generative AI

Greener algorithms for reducing the environmental impact of generative AI
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Greener Algorithms: Reducing the Environmental Impact of Generative AI

As artificial intelligence continues to evolve, so does its footprint on our planet. With major investments from companies like Stargate and technological breakthroughs from China's DeepSeek, the demand for AI is surging, but so is its environmental toll.

Training AI models requires vast amounts of energy and water, contributing to climate change and straining resources. However, innovative strategies and technologies are emerging to mitigate these impacts. By adopting renewable energy, improving chip efficiency, and optimizing data center operations, the tech industry can pave the way for a more sustainable future.

Discover how the next generation of AI can be both intelligent and eco-friendly.


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