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.

Electronics & Semiconductors

Nvidia unveils AI infrastructure deals in South Korea

US chip titan Nvidia on Monday announced a large-scale data center construction project in South Korea with SK Telecom, among a raft of other business deals in the country.

Machine learning & AI

Musk defends AI ambitions as IPO reveals trouble

Elon Musk insists that his artificial intelligence venture xAI remains a serious competitor, pushing back against mounting doubts after revelations that the supercomputing facilities built to power his own AI models are being ...

Machine learning & AI

From graduation boos to voter unease: AI anxiety grows in the US

Speakers promoting AI are getting booed at universities, voters are rebelling against data centers, and even AI-friendly Trump administration officials are starting to retreat as an artificial intelligence backlash gathers ...

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