AI infrastructure is moving toward faster deployment and phased expansion.

High-density GPUs place greater demands on electrical capacity, cooling performance and deployment speed. At the same time, computing requirements can change rapidly as organizations introduce new applications, expand AI services or adopt different server platforms.

Containerized infrastructure provides an approach to deploying the required computing environment at the required location and scale. It supports a project strategy in which infrastructure can be manufactured, integrated and tested before delivery, while site preparation progresses in parallel.

01 — AI Demand Does Not Wait for Buildings to Be Completed

Computing demand can emerge quickly, and the required capacity may change during the development of a project.

A phased approach allows organizations to plan an initial deployment around current needs while preparing for subsequent expansion. Container units can form part of that strategy, with shared power, cooling and network infrastructure sized according to the agreed growth plan.

02 — GPUs Have Changed Power and Cooling Requirements

High-density GPU systems increase power consumption and heat output per rack. Their infrastructure must be designed around the actual server configuration and operating conditions.

Electrical distribution, cooling capacity, redundancy, monitoring and maintenance access need to be considered from the beginning. In liquid-cooled deployments, the interfaces between servers, CDUs, pipework and external heat rejection equipment also require coordinated engineering.

03 — Computing Infrastructure Can Be Deployed Closer to Demand and Power

Deployment locations are becoming more diverse, including edge sites, factories, research facilities, regional hubs and business continuity locations.

Locating computing infrastructure near its users, applications or suitable energy infrastructure can support project objectives. The final location must also provide appropriate connectivity, site access, utility connections and operating support.

SETEK Engineering & Integration

Turning project requirements into a coordinated infrastructure design.

SETEK evaluates the workload, equipment configuration and site conditions to establish a practical engineering basis for each project. The objective is to define how the container, its internal systems and the external infrastructure will function together.

Requirements and Capacity Planning

We assess IT load, rack count, rack power density, server configuration, ambient conditions and future expansion requirements. These inputs guide the selection of the enclosure, electrical architecture, cooling concept and equipment layout.

Power Infrastructure

The electrical scope can include incoming supply interfaces, distribution panels, UPS systems, PDUs, grounding and power monitoring. Capacity and redundancy are defined according to the project’s operational requirements.

Cooling and Thermal Integration

Cooling is selected according to the IT equipment, heat load, ambient conditions and available utilities.

Depending on the project, the configuration may incorporate air cooling, direct-to-chip liquid cooling, rear-door heat exchangers or other validated cooling technologies. For liquid-cooled systems, engineering includes CDU integration, supply and return pipework, flow and pressure requirements, leak detection and external heat rejection.

Server-side and facility-side requirements are coordinated to establish a compatible thermal system.

Layout, Monitoring and Maintenance

Rack positioning, cable routes, pipework and service clearances are developed together. Monitoring can include temperature, power consumption, cooling-system conditions, liquid leakage and equipment alarms.

The design also considers access for inspection, component replacement and routine maintenance.