Page 14: 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

Soaring demand for AI chips fuels power usage: Report

Growing demand for the semiconductor chips that power artificial intelligence is driving soaring electricity use, particularly in countries that rely on fossil fuels for power, environmental group Greenpeace warned Thursday.

Energy & Green Tech

AI surge to double data center electricity demand by 2030: IEA

Electricity consumption by data centers will more than double by 2030, driven by artificial intelligence applications that will create new challenges for energy security and CO2 emission goals, the IEA said Thursday.

Energy & Green Tech

Can energy-hungry AI help cut our energy use?

It takes 10 times more electricity for ChatGPT to respond to a prompt than for Google to carry out a standard search. Still, researchers are struggling to get a grasp on the energy implications of generative artificial intelligence ...

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