What Size Modular Data Center Can I Build?
Modular data centers can be designed for a wide range of deployments, from smaller GPU clusters and edge computing environments to large-scale, multi-megawatt AI and HPC infrastructure.
Unlike traditional data center construction, modular infrastructure allows capacity to be designed and deployed in scalable modules, making it possible to match the facility to the required compute, power and cooling capacity.
What Determines the Size of a Modular Data Center?
The size and configuration depend primarily on:
• IT load and power capacity
• GPU or server requirements
• Rack density
• Cooling architecture
• Available site space
• Power availability
• Deployment timeline
• Future expansion requirements
For AI infrastructure, the number of GPUs and their power density can be more important than the physical footprint alone.
How Large Can a Modular Data Center Be?
There is no single standard size.
A modular data center can be configured around a specific kW, MW, rack or GPU requirement, with additional modules added as capacity grows.
This makes modular infrastructure suitable for:
• GPU clusters
High-density AI training, inference and HPC deployments.
High-density AI training, inference and HPC deployments.
• AI data centers
Infrastructure designed around high-power GPU workloads.
Infrastructure designed around high-power GPU workloads.
• Multi-megawatt deployments
Larger computing environments requiring substantial power and cooling capacity.
Larger computing environments requiring substantial power and cooling capacity.
• Data center expansions
Additional capacity added to an existing facility or campus.
Additional capacity added to an existing facility or campus.
Can Modular Data Centers Support High-Density GPUs?
Yes. High-density modular data centers can be designed around modern GPU infrastructure, including the power and thermal requirements of AI and HPC workloads.
Depending on GPU density and rack power, cooling can incorporate direct-to-chip liquid cooling, immersion cooling or other advanced thermal architectures.
This is particularly important as AI racks continue to require substantially more power and cooling than conventional enterprise infrastructure.
Can a Modular Data Center Be Expanded?
Yes. One of the major advantages of modular infrastructure is scalability.
Instead of building the entire future capacity upfront, organizations can deploy the infrastructure required today and add additional modules as compute requirements increase.
This can help align capital investment, power capacity and cooling infrastructure with actual demand.
What Is the Right Size for My Project?
The right question isn't simply “How big should the data center be?” It is:
How much compute do I need, how much power will it require, and how much cooling capacity will that compute generate?
From there, the modular architecture can be designed around the required GPU capacity, rack density, MW requirement, cooling technology and expansion strategy.
Planning a Modular Data Center?
If you know your GPU requirements, target MW, rack density or deployment timeline, those are good starting points for defining the appropriate modular architecture.
Want to know more? Contact me.
