100 MW Hyperscale AI Data Center Blueprint
As AI workloads demand unprecedented power density and operational efficiency, data center infrastructure must evolve to keep pace. The 100 MW Hyperscale AI Blueprint is a reference architecture developed by Siemens in cooperation with nVent and NVIDIA, purpose-built for next-generation AI compute environments. Designed around NVIDIA DGX™ GB200 SuperPOD-class racks operating at 127 kW per rack, this Tier III fault-tolerant solution integrates Siemens industrial-grade electrical systems with nVent direct-to-chip liquid cooling technology to deliver rapid deployment, high compute density, and operational continuity. Whether you're planning new capacity or scaling existing infrastructure, this blueprint provides a clear path to minimizing time-to-compute and maximizing tokens-per-watt.
Watch: Siemens & nVent Discuss the Future of AI Data Center Infrastructure
At Supercomputing 2025, Siemens Head of Data Center Vertical John de Boer joined nVent to discuss how the industry is navigating the challenges of next-generation AI infrastructure.
From the 10X disruption of Blackwell chips to combining liquid cooling loops with power automation systems, this conversation explores how operators can intelligently integrate key technologies—and why collaboration across the ecosystem is essential for building infrastructure that's scalable, efficient, and ready for what's next.
Watch: 10X Future of Data Centers – Scaling in the AI Era
In this webinar hosted by S&P Global Market Intelligence, experts from Siemens and nVent explore the infrastructure challenges reshaping the data center industry. As AI workloads drive rack densities from 15 kW to well over 100 kW—with roadmaps pointing toward 600 kW to 2 MW per rack—the conversation covers what it takes to design, power, and cool the next generation of AI factories. Topics include the shift to liquid cooling, the integration of OT and IT systems, reference architectures that accelerate deployment, and strategies for balancing performance with sustainability goals.
Designing for the Unknown: Cooling Strategies When Your 2028 Roadmap Is Already Obsolete
Building a data center for the AI era has become a high-stakes game of planning a cross-country road trip using a map that changes daily. You know your destination is unprecedented compute density, but the route—defined by explosive GPU power trajectories—is constantly shifting. The 2-megawatt rack, once a distant forecast, is now looming on a horizon that is arriving years faster than construction cycles.