Page 8: 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 adoption in US adds ~900,000 tons of CO₂ annually, study finds

A new study published in Environmental Research Letters finds that continued growth in artificial intelligence (AI) use across the United States could add approximately 900,000 tons of CO₂ annually. This is not a small amount ...

Energy & Green Tech

The AI revolution has a power problem

In the race for AI dominance, American tech giants have the money and the chips, but their ambitions have hit a new obstacle: electric power.

Machine learning & AI

OpenAI boss calls on governments to build AI infrastructure

OpenAI CEO Sam Altman called on world governments Thursday to invest in AI infrastructure, as questions grow about whether the ChatGPT-maker, the world's most valuable private company, can absorb artificial intelligence's ...

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