Accelerate AI Data Center Deployments Leverage a prefabricated modular approach with the EcoStruxure™ Pod Data Center for AI and accelerated compute

AI workloads are driving new demands on data center infrastructure Populating data center white space can be a slow process, often taking months to install the frame—or pod— that acts as the backbone for the data center, supporting IT, power, and cooling. The fast adoption of artificial intelligence (AI) is pressuring data centers to deploy pods more quickly. High-density racks that support AI workloads generate more heat and increase power demand, requiring a more flexible pod architecture.

Accelerate deployment with a Prefabricated Modular EcoStruxure Pod Data Center for AI The prefabricated modular pod approach accelerates deployment with a prefabricated frame delivered in just a few sections, each preloaded with all necessary components. Unlike traditional builds that require on-site assembly of hundreds of parts, this modular approach reduces time and costs across hyperscale and large data centers.

Preassembly equals accuracy Preassembled at a Schneider Electric factory, just like our prefabricated modular data center solutions, the EcoStruxure Pod Data Center arrives in sections for fast, reliable installation. Unlike traditional pods built on-site—often by non- specialist contractors—this factory-built approach ensures consistent quality, alignment with custom customer specs, and assembly typically in under a day.

Speed, savings, and AI-ready performance A Prefabricated Modular EcoStruxure Pod Data Center supports up to 42 racks, and power density to support the latest generation AI workloads. The customizable design accommodates various cooling methods such as:

• Containment • Hybrid cooling approaches

• Liquid cooling • Rear door heat exchangers

• In-row cooling

The modular approach accelerates deployment upward of 30% and reduces capital expenditures by at least 15% from traditional deployment methods. The pod supports heavy infrastructure up to 4000+ lb (1814 kg), such as cables, busways, and technical water piping, which would otherwise have to hang from costly reinforced and labor intensive data center ceilings.

Pods include trusses, shelves, power busways, cooling equipment, containment, technical water for new liquid cooled server racks, and network infrastructure

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Explore how a modular pod approach can help you win the AI race

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Prefabricated Modular EcoStruxure Pod Data Center Components

• Truss • Racks • Containment • Busway • Power feeds to the rack • Technical water (TW) loop • Network infrastructure

Up to 42 racks

Rack capacity up to 132 kW with liquid cooling

One-day assembly

Shipped in 3 or 4 sections

30% or more timeline reduction over traditional

Costs savings of 15% or more over traditional

Support 4000+ pounds of equipment

Prefabricated Modular EcoStruxure Pod Data Center for AI

Benefits of modular pods

The race to AI is accelerating, and data center operators face mounting challenges, from rapid deployment demands to power sourcing constraints. The Prefabricated Modular EcoStruxure Pod Data Center helps data center operators, colocation providers, and hyperscalers stay ahead by delivering the speed and cost-efficiency needed to scale faster and smarter.

Next-Gen AI Cluster Infrastructure

Schneider Electric offers a complete pod and rack infrastructure for AI and accelerated compute.

Advantages of modular data center pods • �Accelerated deployment: Save critical time to meet AI demands.

• �Modular flexibility: Future-proof your data center with scalable designs.

• �Timeline predictability: Stay on schedule with reliable, repeatable setups.

• �Deployment repeatability: Minimize delays with standardized processes.

• �Cost efficiency: Lower design, build, and installation expenses.

• �Consistent quality: Ensure high standards with factory-built precision.

https://www.se.com/prefab https://www.se.com/ww/en/work/solutions/data-centers-and-networks/modular-data-center/ https://www.se.com/us/en/download/document/AIClustereGuide/