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Mitsubishi Heavy Industries Targets North American AI Data Centers with New Cooling Solution – Japan Industry News

Mitsubishi Heavy Industries, Ltd. (MHI) has introduced plans to introduce a 10-megawatt class centrifugal chiller for next-generation AI knowledge facilities in North America. This transfer targets the burgeoning demand for industrial-grade AI computing infrastructure and goals to safe U.S. security and regulatory certifications, together with UL, probably by 2026.

As the worldwide demand for large-scale AI computing continues to rise, knowledge middle operators are more and more targeted on reliability, vitality effectivity, and water sustainability. MHI is leveraging its intensive industrial expertise to place its centrifugal chiller as a standardized cooling platform for gigawatt-class AI knowledge facilities, the place confirmed operational monitor data are essential.

MHI’s centrifugal chillers boast a big market share in Japan, supported by a robust efficiency historical past in industrial and mission-critical purposes. Key options of the brand new answer embrace a high-efficiency chiller design with an in-house developed compressor, built-in plant-level management programs, and low-water-consumption cooling configurations utilizing dry coolers.

The chiller is designed to align with rising reference architectures for large-scale AI computing services, addressing the necessity for increased cooling capability, elevated redundancy, and standardized deployment fashions. This initiative helps the transformation of information facilities from conventional IT services to totally built-in AI facilities, the place cooling infrastructure is integral to computing efficiency and price optimization.

MHI is dedicated to delivering sustainable and dependable options by combining decarbonized energy era, environment friendly energy distribution, high-efficiency cooling programs, and built-in digital options. This effort is a part of MHI’s broader technique to develop its knowledge middle cooling portfolio with a concentrate on high-density AI workloads and industrial-grade reliability.

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