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By Asma Adhimi
Siemens has teamed up with NVIDIA, Fluence and nVent to develop a reference architecture for next-generation AI data centers built around NVIDIA’s DSX Vera Rubin NVL72 platform. The design is aimed at hyperscalers, colocation operators and cloud providers looking to deploy high-density AI infrastructure at scale.
The move comes as AI factories continue to reshape data center design requirements, particularly around power delivery, cooling and operational resilience. Siemens says the reference architecture translates NVIDIA’s AI factory concept into a deployable electrical, power, and controls blueprint that can scale from tens to hundreds of megawatts.
The reference design supports a total facility capacity of 136 MW with a 100 MW IT load, reflecting the increasing power demands of AI compute clusters. The architecture covers the entire electrical chain, from a 34.5 kV utility connection through medium-voltage distribution and low-voltage modular power blocks down to the rack level.
For eeNews Europe readers, the project highlights how AI is driving new approaches to industrial power systems, modular infrastructure and energy management. It also shows how traditional industrial automation vendors are positioning themselves at the center of the AI infrastructure market.
Siemens said the baseline architecture targets Tier III concurrent maintainability, allowing any single component to be removed from service without disrupting IT operations. The modular approach is intended to simplify phased expansion while reducing redesign requirements as capacity grows.
The design also incorporates nVent-aligned electrical parameters and is expected to expand later with additional thermal management capabilities, particularly around liquid cooling technologies needed for high-density AI racks.
“nVent has deployed more than two gigawatts of liquid cooling capacity globally,” said Sara Zawoyski, President, nVent Systems Protection. “That operational experience is what allows us to help partners like Siemens translate reference architectures into deployable thermal solutions that perform reliably from day one at this scale. Platforms like NVIDIA Vera Rubin NVL72 are pushing rack densities well beyond what traditional air-cooled infrastructure can support.”
A key focus of the architecture is reducing deployment risk and accelerating time to revenue for AI infrastructure operators. Siemens said its prefabricated and factory-tested medium- and low-voltage skids are designed to reduce on-site construction complexity and commissioning times.
“Siemens’ deep expertise in power systems and controls engineering, modular infrastructure, protection, and industrialized delivery is really evident in this latest joint reference architecture design,” said Ruth Gratzke, President of Siemens Smart Infrastructure USA. “Our pre-engineered, prefabricated, and factory-tested medium- and low-voltage skids help minimize on-site construction complexity, shorten commissioning cycles, and improve quality, safety, and repeatability across deployments.”
The architecture also integrates Fluence battery energy storage systems to provide grid support and operational flexibility in power-constrained environments. According to Fluence, capabilities such as black start, demand response and AI load smoothing are increasingly important for large AI facilities connected to stressed electricity grids.
The complete system is tied together through a centralized Integrated Data Center Management Suite, giving operators visibility across power, cooling and compute infrastructure from a single interface.
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