Page 5: 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

The data center surge has a hidden source of carbon emissions

Data centers siphon huge amounts of energy to power artificial intelligence. But their environmental footprint starts to balloon even before the first server switches on due to the immense amount of carbon-intensive concrete ...

Energy & Green Tech

Powering AI from space, at scale, with a passive tether design

Penn Engineers have developed a novel design for solar-powered data centers that will orbit Earth and could realistically scale to meet the growing demand for AI computing while reducing the environmental impact of data centers.

Electronics & Semiconductors

Nvidia CEO says AI will create jobs for electricians and plumbers

As artificial intelligence threatens to upend job markets in countries around the world, Nvidia Corp. Chief Executive Officer Jensen Huang brushed off longer term concerns and made the case that skilled vocational workers ...

Energy & Green Tech

Microsoft says will foot AI's massive power bill

Microsoft said Tuesday it will shoulder the full electricity costs of its US data centers to prevent American households from facing higher power bills driven by surging AI energy demand.

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