Page 11: Research news on AI data center infrastructure

AI data center infrastructure encompasses the physical facilities, power systems, and cooling architectures required to support large-scale artificial intelligence computation, along with their environmental and grid-level impacts. Work in this area quantifies electricity use, carbon and water footprints, and the rebound effects of efficiency gains, while examining constraints imposed by aging power grids and regulatory regimes. It also evaluates mitigation strategies such as improved energy efficiency, low-carbon construction, water transparency, and long-term procurement of nuclear and other low-carbon generation, including speculative orbital, solar-powered data centers.

Energy & Green Tech

AI has a hidden water cost—here's how to calculate yours

Artificial intelligence systems are thirsty, consuming as much as 500 milliliters of water—a single-serving water bottle—for each short conversation a user has with the GPT-3 version of OpenAI's ChatGPT system. They use roughly ...

Energy & Green Tech

AI boom leads to record costs on US grid and calls for new plants

Businesses and households served by the largest U.S. power grid will spend a record $16.1 billion to ensure electricity supplies—a result that prompted immediate calls from utilities and energy groups to build more generation ...

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