Modular AI Data Center Design Cuts Install Time 80%
New reference design speeds up deployment for high-density infrastructure supporting the NVIDIA Vera Rubin platform.
Updated on Oct. 21, 2026 in Data Centers
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Schneider Electric has released the RapidScale Modular Data Center Reference Design 115, a pre-engineered blueprint for high-density AI infrastructure. The design is intended to accelerate deployment timelines for data centers supporting the NVIDIA Vera Rubin Platform.
Why it matters
Traditional stick-built construction currently struggles to match the speed required for massive AI infrastructure scaling. Modular designs offer a path to increase data center capacity to a projected 300 GW by 2030, a goal driven by AI workloads expected to comprise 65 percent of total demand.
The reference design utilizes advanced fluid cooling with smart temperature controls to manage heat density. It integrates power, IT, and software into a modular model that reduces onsite installation time by 80 percent.
The players
Schneider Electric
An energy management and automation firm that produces modular data center infrastructure and power systems.
NVIDIA
A designer of graphics processing units and specialized AI hardware, including the Vera Rubin Platform.
The details
The system utilizes a prefabricated modular pod structure that integrates power, liquid cooling, IT hardware, and lifecycle services. Liquid cooling — a method of using circulating coolant to transfer heat away from components — manages the thermal output of high-density AI racks. By shifting assembly to factory environments, the design minimizes complex construction work at the installation site, which is validated to ANSI standards for deployments in the United States.
Timeline
2025: Base year for manufacturing capacity growth comparisons.
October 21, 2026: Official announcement of the RapidScale reference design.
2030: Projected target for total global data center capacity of 300 GW.
The Tech Race
This release follows industry-wide shifts toward prefabricated infrastructure as documented in May 2026 by Omdia. It positions Schneider Electric against alternative construction methods as the race to support AI capacity intensifies.
Data center operators and hyperscale facility architects can immediately utilize this design to streamline deployment. It specifically supports NVIDIA Vera Rubin hardware, making it a critical path for environments upgrading to high-density AI computing.
The takeaway
The industry is moving toward factory-assembled pods to keep pace with the massive 170 GW capacity expansion required by 2030. Operators should monitor if this modular approach scales effectively across the ten countries where partner sites currently operate.
Further reading
Explore deeper insights on current infrastructure challenges in the Data Centers section.
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