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Dominion Energy will pilot LōD’s grid-responsive AI inference technology in Ashland, Virginia, under its Accelerate program. The trial aims to test AI-driven load management and grid interaction in a real-world distribution setting, per Data Center Dynamics.
Emma Strutton interviews Jerry Toth on how liquid cooling is being used to enable higher rack densities and improve efficiency in modern data centers. They discuss implications for sustainable AI growth and infrastructure planning.
Data Center Dynamics argues data center cooling strategies should be selected based on chip junction temperatures, local climate, and long-term efficiency goals. Matching heat-rejection methods to those factors can guide more sustainable and cost-effective infrastructure choices.
Infineon and South Korea’s LS Electric signed a non-binding memorandum of understanding to jointly develop next-generation DC power infrastructure for AI data centres. The collaboration aims to advance high-efficiency power systems, according to the companies’ announcement reported by Data Center Dynamics.
A university plans to capture waste heat from racks at its supercomputing data center to feed into Wrocław’s district heating network. Both parties say the recovered thermal energy should improve the city’s heating efficiency.
Data Center Dynamics discusses how two-phase liquid cooling can support next-generation AI infrastructure by efficiently removing high-density heat loads. The piece outlines potential system designs and industry interest in adopting this method for future AI deployments.