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Siemens and nVent to Release Joint Reference Architecture Purpose-Built for NVIDIA AI Data Centers

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NEWS ARTICLE
Siemens and nVent to Release Joint Reference Architecture Purpose-Built for NVIDIA AI Data Centers
  • Modular, Tier III-capable blueprint helps operators deploy AI infrastructure faster, smarter, and more sustainably
  • Unites industrial-grade electrical systems with leading liquid cooling technology
  • Accelerates time-to-compute and maximizes tokens-per-watt

Siemens and nVent are collaborating to develop a liquid cooling and power reference architecture, purpose-built for hyperscale AI workloads.

As AI workloads grow more intensive and distributed, data center infrastructure strategies must balance performance, efficiency, and scalability through increasingly intelligent and adaptive systems. To support this next generation of digital infrastructure, Siemens and nVent are combining their expertise to help data centers prepare cooling and power infrastructure for global deployment and operational resilience.  

The new joint architecture developed by Siemens and nVent has been created to help customers build 100 MW hyperscale AI data centers designed to house large-scale, liquid-cooled AI infrastructure like NVIDIA GB200 NVL72 systems. It presents a Tier III-capable architecture that integrates Siemens’ industrial-grade electrical and automation systems with NVIDIA DGX GB200 reference designs and nVent liquid cooling technology.

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“We have decades of expertise supporting customers’ next-generation computing infrastructure needs,” said Sara Zawoyski, president of nVent Systems Protection. “This collaboration with Siemens underscores that commitment. The joint reference architecture will help data center managers deploy our cutting-edge cooling infrastructure to support the AI buildout.”

“This reference architecture accelerates time-to-compute and maximizes tokens-per-watt, which is the measure of AI output per unit of energy,” said Ciaran Flanagan, Global Head of Data Center Solutions at Siemens. “It’s a blueprint for scale: modular, fault-tolerant, and energy-efficient. Together with nVent and our broader ecosystem of partners, we’re connecting the dots across the value chain to drive innovation, interoperability, and sustainability, helping operators build future-ready data centers that unlock AI’s full potential.”

Data centers today face increasing rack-level power densities, more compute-intensive workloads, and growing demand for modularity to maintain uptime and scalability. Reference architectures play a critical role aiding data center operators in rapid deployment and interface standardization, while providing a framework upon which infrastructure providers can innovate.

Siemens brings decades of expertise in industrial-grade electrical systems and intelligent infrastructure to the data center sector. Its comprehensive portfolio, from medium and low voltage power distribution to advanced automation and energy management software, enables reliable, efficient, and sustainable operation of mission-critical facilities. By combining IoT-enabled hardware, AI apps, cloud-driven software, and comprehensive digital services, Siemens empowers data center operators to accelerate transformation and scale confidently to meet the demanding infrastructure requirements of AI-driven workloads. 

nVent is a leader and innovator in liquid cooling with a strong track record of solving complex cooling challenges for global cloud service providers. nVent’s industry-leading team of experts leverages its broad portfolio to help data center managers achieve their goals. Through collaboration with leading chip manufacturers, OEMs, and hyperscalers, nVent delivers reliable, scalable liquid cooling solutions that are ready to meet the future of high-density computing.

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With over 15 years of experience in liquid cooling, nVent’s deep technical application experience and global presence enables creating efficient solutions that ensure optimal performance and reliability for advanced computing environments for our partners.

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