Artificial intelligence may feel like a digital technology, but the systems behind it depend on enormous amounts of physical infrastructure. Data centers filled with powerful computing equipment require electricity, cooling systems, water, land, backup power, and an expanding network of supporting infrastructure.
The Environmental Impact of AI Data Centers provides an accessible and balanced introduction to the environmental footprint behind the rapid growth of artificial intelligence.
This book explores how AI data centers consume electricity, why some facilities require significant amounts of water for cooling, and how their operations can contribute to carbon emissions and local air pollution. Readers will also learn how the environmental effects of a data center can extend beyond the facility itself through power generation, construction, semiconductor manufacturing, transmission infrastructure, and the production and disposal of computing equipment.
The environmental impact of AI is not the same everywhere. Location, climate, cooling technology, electricity sources, facility design, and local regulations can dramatically change the footprint of individual data centers. This guide examines these differences while avoiding the assumption that every AI facility has the same environmental consequences.
The book also explores efforts to make data centers more sustainable, including renewable and lower-carbon electricity, more efficient computing hardware, improved cooling systems, water conservation, heat reuse, cleaner backup power, and better data center design.
Whether you are interested in artificial intelligence, technology, sustainability, energy, environmental issues, or the infrastructure being constructed to support the AI economy, this book provides a straightforward introduction to one of the most important environmental conversations surrounding modern technology.
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