Keeping AI cool in hyperscale environments
Siemens and nVent have jointly developed a reference architecture for liquid cooling and power supply that is specifically designed for AI workloads in hyperscale environments in NVIDIA data centers.
13 Feb 2026Share
As AI workloads become increasingly intensive and decentralized, data center infrastructure strategies must balance performance, efficiency, and scalability through increasingly intelligent, adaptive systems. To support this next generation of digital infrastructure, Siemens and nVent, a recognized leader in the development and manufacture of innovative building products for the irrigation, electrical, gas supply, and landscape lighting markets, are combining their expertise to help data centers optimize their cooling and power infrastructure for global deployment and operational resilience.
The jointly developed architecture is designed to help customers build 100-megawatt hyperscale AI data centers designed to house large-scale, liquid-cooled AI infrastructures such as NVIDIA GB 200 NVL72 systems. It offers a Tier III-ready architecture that integrates Siemens' industrial-grade electrical and automation systems with NVIDIA DGX GB200 reference designs and nVent's liquid cooling technology.
“We have decades of experience in helping customers meet their next-generation IT 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 leverage our state-of-the-art cooling infrastructure to support AI expansion.”
“This reference architecture accelerates computation time and maximizes tokens per watt, a measure of AI performance per unit of energy,” said Ciaran Flanagan, global head of data center solutions at Siemens. “It is therefore a model for scaling: modular, fault-tolerant, and energy-efficient. Together with nVent and our diverse partner ecosystem, we are connecting the dots along the value chain to drive innovation, interoperability, and sustainability, helping operators build future-proof data centers that unlock the full potential of AI.”
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