Siemens, Nvidia, and Fluence unveil reference architecture for AI data centers with 136 MW capacity

The three-way collaboration targets hyperscale AI factories with integrated battery storage, marking a new blueprint for powering the next generation of compute infrastructure.

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Add us on Google by Editorial Team Jun. 1, 2026

Building an AI data center is no longer just a computing problem. It’s an energy problem. Siemens, Nvidia, and Fluence just dropped their answer: a UL-aligned reference architecture designed specifically for Nvidia’s DSX Vera Rubin AI factory, built around the NVL72 platform, with a total facility capacity of 136 MW and an IT load of 100 MW.

What the architecture actually includes

The reference design covers the full electrical stack. Utility connections operate at a nominal voltage of 34.5 kV, with medium- and low-voltage distribution running all the way to individual rack interfaces.

The design meets Tier III concurrent maintainability standards, meaning any component can be taken offline for maintenance without disrupting the data center’s operations.

Fluence’s Smartstack battery energy storage platform is baked directly into the design to handle grid interconnection, load shaping, and power variability. AI workloads are notoriously spiky. Training runs can hammer the grid for hours, then drop to near-idle. Fluence’s batteries smooth out those peaks and valleys, letting the facility draw power more evenly from the grid while still delivering burst capacity when the GPUs need it.

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The modular building strategy aligns with Nvidia’s deployment units, which means operators can scale from tens to hundreds of megawatts without redesigning the core infrastructure.

Building on earlier work

This isn’t the first time Siemens and Nvidia have collaborated on data center infrastructure. Back in December 2025, Siemens and nVent published a joint blueprint for a liquid-cooled data center sized for 100 MW.

The new architecture is the first explicit three-party reference architecture that brings Fluence into the fold. nVent remains involved as a collaborative partner alongside the three primary architects.

The 136 MW total facility capacity represents a meaningful step up from the 100 MW IT load target. That gap accounts for cooling, storage overhead, and other auxiliary systems, with roughly 73% of total capacity dedicated to IT load.

What this means for investors

The core thesis is straightforward: Siemens brings electrical engineering and distribution. Nvidia brings the compute platform that creates the demand. Fluence brings the storage technology that makes the grid math work.

The integration of battery storage directly into reference architectures suggests that grid-scale storage is transitioning from a nice-to-have into a structural requirement for new data center builds.

Reference architectures exist to compress timelines and reduce risk. When a hyperscaler can grab a pre-engineered, UL-aligned blueprint and start building instead of spending 18 months on custom electrical design, the pace of deployment accelerates.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.