Energy Supply Siemens and Reinhausen Develop Energy Solutions for AI Data Centers

Source: Siemens | Translated by AI 1 min Reading Time

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Siemens and Reinhausen are jointly developing a solid-state transformer for grid voltages of up to 36 kV. The technology is intended for use in AI data centers.

As part of a strategic partnership, Siemens and Reinhausen are advancing the future of energy supply solutions for AI data centers. (Symbol image)(Source:   / CC0)
As part of a strategic partnership, Siemens and Reinhausen are advancing the future of energy supply solutions for AI data centers. (Symbol image)
(Source: / CC0)

Artificial intelligence is driving a fundamental shift in data center infrastructure. The industry is moving away from traditional power supply architectures toward more efficient and scalable solutions that can support the next generation of AI applications.

Solid-State Transformers as a Central Component

Solid-state transformers (SST) are a central component of this transformation. They enable higher efficiency and the direct conversion of alternating current into direct current—from the medium-voltage grid to the server rack. Additionally, they require less space and incur lower costs. With their ability to react to load changes within milliseconds, they can seamlessly balance the extreme power fluctuations of AI training applications, thereby avoiding downtime and reducing costs.

A medium-voltage-capable SST represents a compact and efficient alternative to conventional multi-stage AC/DC conversion architectures, enabling more efficient power supply for high-power-density AI infrastructures.

Partnership with In-Depth Expertise

Reinhausen is the world's leading manufacturer of voltage regulation technology for power transformers and has decades of experience in the fields of power quality and grid stability. The company has also developed comprehensive expertise in medium-voltage power electronics and the associated components, which form the core of modern SST architectures.

Siemens combines extensive expertise in power electronics, electrical energy supply solutions, grid protection, automation, and digitalization. In the use of SSTs, Siemens contributes its competencies in grid integration, power conversion, protection, and control technology to provide next-generation energy systems for AI data centers.

Key Features of the SST

Key features of the solution include modularity, scalability, and high availability. The design allows operation at voltages of up to 36 kV and, thanks to its modular structure, can also be used for lower grid voltages. This makes the architecture adaptable to varying grid connection conditions. The SST provides the output voltage of 800 V DC (VDC) required in future AI data centers.

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