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molly taft ICYMI: "The public health burden is expected to be double that of the U.S. steel-making industry by 2030, when it could rival that of all the cars, buses and trucks in California, the study projects"--Shaolei Ren would probably have lots more to say... caltech.edu/about/news/air…

Unlocking global AI potential with next-generation subsea infrastructure engineering.fb.com/2025/02/14/con…

Thirsty for power and water, AI-crunching data centers sprout across the West The rapid proliferation of data centers in the western United States, particularly in areas like Silicon Valley and Phoenix, is reshaping local economies and communities, driven by the growing demands

Grateful for the opportunity to attend the expert meeting and support this evidence-based GAO report!

In 2023, one tech company directly "consumed" 24x water in its data centers as in its office buildings. For another, the ratio was 21x. Couldn't find data for others. Water consumption is a technical term defined as "water withdrawal minus water discharge".

Among other things, water is used to cool the data centers that run AI models and the power plants that provide energy to those computing facilities. sfexaminer.com/news/technolog…

Data centers are responsible for harmful air pollutants that contribute to asthma, heart attacks, and cognitive decline. Researchers Shaolei Ren of UC Riverside and Adam Wierman of Caltech argue that it's time for health-informed AI solutions. spectrum.ieee.org/data-centers-p…

A new study shows that advanced cooling tech can cut emissions by 15% and water consumption by 50%. Learn more about how we’re rethinking datacenter cooling. msft.it/6002SrJIu

A Bloomberg News analysis finds that roughly two thirds of new data centers built or in development in the US since 2022 are in places with high levels of water stress. bloomberg.com/graphics/2025-…

For years, data centers have strained local water supplies. The AI boom has made this issue much worse. 🔗: bloomberg.com/graphics/2025-…

As AI drives explosive data center growth, concerns about water use are rising — but transparency remains limited. Uptime’s latest survey reveals only 43% of operators track water consumption, and few disclose it clearly. Read more in CBA National: okt.to/in7bZh

EU is introducing water usage caps for data centers. 10 years ago, we published a paper in IEEE Transactions on Cloud Computing on how to operate data centers efficiently under water usage caps: ieeexplore.ieee.org/document/71528… bloomberg.com/news/articles/…

A Berkeley paper: "The widespread deployment of CCS to meet the 1.5d climate target would almost double anthropogenic water footprint. Consequently, this would likely exacerbate and create green and blue water scarcity conditions in many regions worldwide" sciencedirect.com/science/articl…

Artificial intelligence threatens to raid the water reserves of Europe’s driest regions ow.ly/VMKW106afRq

"Making AI Less ‘Thirsty’" by Pengfei Li (UC Riverside), Jianyi Yang (University of Houston), Mohammad Atiqul Islam (The University of Texas at Arlington), @RenShaolei (#UCRiverside), says it’s critical to address AI’s water footprint to ensure that it does not worsen global water stresses. bit.ly/43LnlN4

"Toward Environmentally Equitable AI," by @MHajiesmaili (@ManningCICS), @RenShaolei (UC Riverside), Ramesh Sitaraman (UMass Amherst), and Adam Wierman (Caltech), proposes #environmental #equity to mitigate AI’s uneven #environmental costs to regions. bit.ly/3FVkrfJ

Andrew A. Chien (The University of Chicago) and Hartmut Schmeck describe the ten articles in the Special Section on Sustainability and Computing, which calls for #InnovativeThinking, radical ideas, and reinvention to address the #environmental impact of computing and #AI, bit.ly/3TgsvdX

New EPA 50-Hour Rule: What It Means for AI Data Centers, Demand Response, and Public Health. It means we need more health-informed approaches to advancing AI while protecting public health: linkedin.com/posts/shaolei-…