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Siemens, Reinhausen develop DC power solutions for AI data centers

Together, the companies are developing and will industrialize a solid-state transformer for up to 36kV grid voltage. The technology is being developed for deployment in AI data centers.

Siemens and Reinhausen (MR) are advancing the future of power solutions for the AI era through a strategic partnership. Together, the companies are developing and will industrialize a solid-state transformer for up to 36kV grid voltage. The technology is being developed for deployment in AI data centers, Siemens said in a press release.

MR is a leading manufacturer of voltage regulation technology for power transformers and has decades of experience in power quality and grid stability. The company has also developed extensive know-how in the field of medium voltage power electronics and related components. 

Siemens combines deep expertise in power electronics, electrical power solutions, grid protection and automation systems as well as digitalization. In the deployment of SSTs, Siemens applies its capabilities in grid integration, power conversion, protection and control to deliver the next-generation energy transmission systems for AI data centers, the company said. 

“Combining the technological strength of Siemens and MR will shape the future of power solutions for AI data centers. Solid-state transformers are critical for these large and power intensive structures,” said Stephan May, CEO of Electrification and Automation at Siemens. “They enable higher efficiency, direct grid-to-rack DC conversion, and a reduced footprint. By responding to load changes in milliseconds, they seamlessly handle the extreme power swings of AI training workloads and avoid downtime while cutting costs.”

“The AI era demands a new paradigm in power delivery. Together with Siemens, we are proud to actively shape this transformation,” said Wilfried Breuer, Managing Director and Spokesperson for the Executive Management of Reinhausen GmbH. “Our technology enables AI data centers to operate with the efficiency and reliability they require.”


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