ZUG, Switzerland, June 3, 2026 – Siemens has developed a 136 MW reference architecture for NVIDIA DSX Vera Rubin AI factories, defining how power moves from a 34.5 kV utility connection to high-density AI computing racks. Developed with NVIDIA and Fluence and incorporating nVent-aligned design considerations, the design combines electrical distribution, power management, battery energy storage, and controls infrastructure for hyperscalers, colocation providers, and cloud infrastructure providers.
The Siemens reference design for NVIDIA DSX Vera Rubin NVL72 supports a facility capacity of 136 MW, including a 100 MW IT load. It covers the electrical path from the 34.5 kV utility connection through medium-voltage distribution, modular low-voltage power blocks, and the rack interface.
The baseline architecture targets Tier III concurrent maintainability, allowing any single component to be removed from service without affecting IT operations. Siemens built the design around electrical building blocks aligned with NVIDIA DSX Vera Rubin units, allowing operators to add capacity in phases without fundamental redesign.
“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.”
The design uses nVent-aligned electrical parameters to support compatibility with NVIDIA workloads and system architectures. Siemens also plans to add advanced thermal management capabilities in a forthcoming supplement. Designed to support DSX MaxLPS, the architecture helps AI factories manage computing output and token production within fixed power envelopes, and addressing deployment timelines and execution risk.
“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. Further, our automation and digital twin strategies deployed in this reference help ensure that facilities are brought online faster and with greater potential to produce tokens at scale.”
“Our Smartstack platform is central to this new architecture, transforming the grid into an accelerator for compute,” said Jeff Monday, Fluence chief growth officer. “By providing essential capabilities like voltage and frequency ride through, black start, grid demand response, and AI load smoothing, we are enabling our customers to build the AI factories of the future, faster and more reliably.”
Fluence’s battery energy storage is included in the blueprint to support power flexibility and resilience. The design also integrates with a centralized Integrated Data Center Management Suite, giving operators a view of power, cooling, and compute infrastructure across AI factory operations.
Source: Siemens
About Siemens AG
Siemens AG is a technology company founded in 1847 and headquartered in Munich and Berlin, Germany. The company develops products and services in industrial automation, electrification, digital systems, and mobility. Its offerings include automation systems, industrial software, building technologies, rail transport systems, and power distribution solutions. Siemens also provides financial services and supports infrastructure projects. It serves industries such as manufacturing, energy, transportation, construction, and healthcare. The company works with enterprises, utilities, governments, and infrastructure operators worldwide. Siemens operates in more than 190 countries. It applies digital tools and AI to industrial and infrastructure use cases. Siemens holds a majority stake in Siemens Healthineers, a publicly listed healthcare technology company. Siemens has about 318,000 employees globally.
About Fluence Energy
Fluence Energy provides battery-based energy storage systems, energy management software and related services for power markets. The company serves utilities, independent power producers, renewable energy developers, and commercial and industrial customers. Founded in 2018, Fluence was created by Siemens and AES to support large-scale energy storage projects. Its products include grid-scale storage systems, software for energy asset management, and maintenance services for storage and renewable energy sites. Customers use its systems for grid stability, renewable energy integration, power management and energy optimization. Fluence Energy is headquartered in Arlington, VA. The company employed about 1,670 people worldwide.
About nVent
nVent designs, manufactures, and services products for electrical connection, protection, enclosures, and thermal management. The company serves data centers, telecommunications providers, energy utilities, industrial facilities, commercial buildings, and infrastructure projects. nVent was formed in 2018, and is headquartered in London, UK. nVent employs about 12,100 people worldwide. Its portfolio includes enclosures, heat-tracing and thermal systems, surge and grounding equipment, fastening systems, cable-management products, and other components used to connect and protect equipments. nVent sells these products under brands including Caddy, Erico, Hoffman, Ilsco, Schroff, and Trachte. Customers include data-center operators, utilities, manufacturers, and commercial developers. The company supports production and distribution across six continents to meet electrical-system needs in buildings and mission-critical facilities.
About NVIDIA
NVIDIA, founded in 1993 and headquartered in Santa Clara, CA, designs and manufactures graphics processing units, systems on chips, networking hardware, and AI intelligence software such as CUDA. Its products serve industries including gaming, data centers, autonomous vehicles, professional visualization, robotics, health care, and energy. The company introduced the GPU in 1999 and later expanded into accelerated computing and AI infrastructure. In gaming, its GPUs support high-performance rendering, while in AI and high-performance computing, its systems provide the infrastructure for training and deploying large-scale models. NVIDIA also develops tools for robotics and autonomous driving.