Page 4: 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.

Business

xAI sees key staff exits, Musk promises moon factories

Half of the original founding team at Elon Musk's artificial intelligence startup xAI has now departed after two co-founders resigned in rapid succession this week, raising fresh questions about talent retention ahead of ...

Business

Google turns to century-long debt to build AI

Google-parent Alphabet will issue bonds maturing in 100 years as it continues to invest massively in infrastructure for artificial intelligence, according to data published Tuesday by Bloomberg.

Energy & Green Tech

China ramps up energy boom flagged by Musk as key to AI race

New data on China's relentless energy installations underscore warnings from Elon Musk and Jensen Huang that the nation's world-beating power network will deliver a major advantage over the U.S. in the race to dominate artificial ...

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