Page 12: 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

Trump unveils investments to power AI boom

US President Donald Trump went to Pennsylvania on Tuesday to announce $92 billion in energy and infrastructure deals intended to meet big tech's soaring demand for electricity to fuel the AI boom.

Energy & Green Tech

Tech giants scramble to meet AI's looming energy crisis

The artificial intelligence industry is scrambling to reduce its massive energy consumption through better cooling systems, more efficient computer chips, and smarter programming—all while AI usage explodes worldwide.

Energy & Green Tech

Practical changes could reduce AI energy demand by up to 90%

Artificial intelligence (AI) can be made more sustainable by making practical changes, such as reducing the number of decimal places used in AI models, shortening responses, and using smaller AI models, according to research ...

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