Pathways for Sustainable AI Servers in the USA
Scientific Reports
Grades11, 12, APEngineering
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Provided by Nature
What it is
- This report explains the impacts of AI data centers on water, energy use, and climate change, and makes suggestions for minimizing these impacts.
- Students will learn about data limitations due to unreliable reporting, the influence of renewable energy deployment, and how the location of a data center can have an impact on its environmental footprint.
Teaching tips
Positives
- This report considers many factors that influence the environmental impacts of AI data centers.
- The many graphs, maps, and data visualizations support students in understanding the written content.
Prerequisites
- This report is best suited for students who have some prior knowledge of data centers' energy and water usage, climate change and its impacts, and water scarcity concerns.
Differentiation & Implementation
- After reading the article, students can use the Greenhouse Gas Equivalencies Calculator to compare emissions from AI data centers to something familiar, like driving a car.
- Some students may benefit from having a note sheet on hand to keep track of unknown terms and unfamiliar initialisms (such as PUE and WUE) that are used throughout the report.
- After reading, students can discuss options for incentivizing AI companies to work with third-party and governmental groups to monitor their impacts and prioritize public well-being over private profits.
From the scientist review
This resource is a peer-reviewed article discussing the water and carbon footprint associated with AI servers across the US. The article also examines the efficacy of decarbonization and water-saving efforts. This is a topic that frequently comes up when discussing AI and the environment. The information presented is accurate, and this resource is recommended for teaching.
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