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.

Texas at heart of Amazon's AI push in United States

Tech titan Amazon is working to step out of Nvidia's shadow with custom "Trainium" chips designed specially for machine learning as billions of dollars are poured into artificial intelligence (AI).

Machine learning & AI

Where are Southeast Asia's data centers?

New data centers are springing up worldwide as demand soars for artificial intelligence and cloud computing, with Asia one of the sector's fastest growing regions.

Business

Understanding the data center building boom

As artificial intelligence (AI) drives explosive growth in data centers, communities across the U.S. are facing rising electricity costs, new industrial development, and mounting strain on an aging power grid.

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