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BETTESWORTHConstruction

Choosing a Data Center Build for AI: Modular, Site-Built, or Hybrid?

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Modular data centers are often the better fit for AI projects that need capacity sooner or expect to expand in phases—but only when the site, utility connections, power distribution, and cooling systems can support the modules. Traditional, site-built construction can be a better fit when a permanent campus or bespoke requirements make site-specific design more important than factory repetition. Neither construction method is automatically AI-ready: that depends on the engineered power, thermal, structural, and control systems.

For many projects, the decision is not strictly either-or. A conventional building can incorporate prefabricated power, cooling, or IT modules. Compare modular, site-built, and hybrid proposals against the same capacity, redundancy, cooling, site scope, and commissioning requirements.

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At a glance

Name Best for Key spec Checked
Modular or prefabricated Projects prioritizing repeatable deployment, earlier capacity, or phased growth, with suitable site and utility interfaces In one studied liquid-cooled white-space configuration: 15 onsite installation hours per prefabricated pod November 2026
Traditional or site-built Projects prioritizing site-specific design, a permanent campus layout, or bespoke integration In the same study: 75.5 onsite installation hours for the traditional white-space configuration November 2026
Hybrid Projects where some systems benefit from factory prefabrication and others need site-specific construction Can combine a conventional building with prefabricated power, cooling, or IT modules November 2026

The two installation-hour figures describe a specific configuration, not total project delivery time. They do not mean that every modular facility is built or energized 80% faster.

What is the difference between modular and traditional data center construction?

The main difference is where parts of the engineering, assembly, integration, and testing take place. Modular delivery moves some of that work into a factory and ships discrete units to the site; traditional construction performs more of it on site.

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In a modular project, the delivered units may form parts of the facility’s power, cooling, or IT infrastructure. The design depends on the project: “modular” does not by itself specify the size, contents, cooling method, redundancy, or level of factory integration. Those must be defined in the proposal and engineering documents.

Site-built construction gives the project team more opportunity to design around the specific campus, site conditions, and bespoke requirements. It also generally leaves more coordination and assembly to be managed at the site. A hybrid project combines approaches—for example, a conventional building with prefabricated systems inside it.

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These terms describe delivery methods, not quality levels. A factory-built module still needs sound engineering, safe connections to the rest of the facility, code review, and commissioning. A site-built data center can also be designed for high-density AI workloads. The right comparison is between complete, engineered proposals, not labels.

Which construction method is better for AI workloads?

Modular construction is a strong candidate when schedule pressure, repeatability, or phased growth matters and the project’s interfaces are ready. Site-built construction may fit better when bespoke design and a permanent campus plan are the priorities. A hybrid approach can be the practical middle ground.

AI readiness is determined by whether the facility can deliver and manage the workload’s power and heat—not by whether it was assembled in a factory or on site. ASHRAE’s AI data-center integrated design principles treat facility design as a coordinated problem. A proposal needs to address power distribution, thermal management, controls, and the interfaces between them as a system.

Many AI facility designs use liquid cooling, but the construction method alone does not establish whether a particular cooling approach is supported. The project team must specify the intended rack and IT configuration, the cooling technology, its supporting infrastructure, and the required operating and redundancy conditions. The same applies to expansion: an added module helps only if the site, power supply, cooling, controls, and connections can accommodate it.

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Schneider Electric and Compass Datacenters studied one high-density, liquid-cooled white-space installation. Their report gives 75.5 onsite installation hours for a traditional configuration and 15 hours for the studied prefabricated pod—an 80% reduction in onsite installation time for that configuration. This is useful evidence that factory preparation can reduce a defined portion of site work. It is not an end-to-end comparison of campus schedules, and it should not be treated as a universal construction-speed figure. See the Schneider Electric Data Center Research Center time study for its scope.

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Does modular construction make an AI data center faster?

It can reduce onsite assembly or allow factory work and site preparation to proceed in parallel, but it does not remove the other steps that determine when usable capacity is ready. The relevant measure is the end-to-end schedule to an accepted, energized, commissioned facility—not the time to install one pod.

Before treating a modular proposal as faster, ask the supplier to show the schedule and dependencies for:

  • Site preparation and the work needed to support the modules.
  • Utility or other power-supply availability and the connections required.
  • Permitting, inspections, and the applicable authority approval path.
  • Factory design, manufacturing, integration, and testing lead times.
  • Transport, site access, lifting, and installation.
  • Connections between modules and the facility, followed by commissioning.

Factory production can be scheduled alongside some site work, but a delay in an essential dependency may still postpone operation. Delivery dates are also not equivalent to ready-for-service dates. Ask bidders to define the schedule boundary clearly: does the quoted milestone mean equipment shipped, installed, energized, or commissioned for the intended IT load?

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The Lawrence Berkeley National Laboratory and GSA procurement guide describes quicker deployment as a general potential advantage of modular units. It is older guidance, not a current, quantified comparison of complete AI facility schedules. Use it as context, not as a project-specific promise.

How should you compare power and cooling?

Specify the AI workload and its facility requirements first, then compare whether each design can deliver them. A modular approach can integrate repeatable power and cooling components; a site-built design can be coordinated around the campus. In either case, the interfaces and operating requirements must be explicit.

Ask each bidder to document the same design conditions:

  • IT scope: what capacity and rack configuration the proposal covers, and what is outside its scope.
  • Power: how power is distributed to the IT load, what redundancy is included, and what capacity is reserved for growth.
  • Thermal management: which cooling approach is designed for the specified equipment, what supporting systems it needs, and how controls coordinate operation.
  • Integration: how power, cooling, racks, controls, and monitoring connect across modules and to the rest of the facility.
  • Commissioning: what is tested, at what boundary, and what conditions must be met before the capacity is accepted.
  • Expansion: which interfaces, space, and supporting capacity are available for the next phase.

Do not assume that two proposals are comparable because both use the same construction label or claim to support AI. If one includes cooling infrastructure and commissioning while the other quotes only the building or pod, their schedules and costs do not cover the same result. The ASHRAE framework is relevant because it emphasizes integrated design rather than treating power and cooling as disconnected purchases.

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Is modular construction cheaper over the life of the project?

There is not enough evidence here to declare modular or traditional construction universally cheaper over a project’s life. Modular systems may reduce some onsite work and support phased capital spending, but factory systems, logistics, site interfaces, and operations still have costs. Site-built projects may allow more design freedom, while site labor and a longer sequence of work may affect their cost.

Request a project-specific total cost of ownership (TCO) comparison using equivalent scope. It should distinguish initial capital costs from ongoing costs and identify the assumptions behind energy, water, maintenance, financing, and each expansion phase. Include the supporting infrastructure and site work required by each option; a low module price is not a complete facility price.

Ask bidders to state which capacity, redundancy, cooling, controls, site work, utility connection, transport, testing, and commissioning are included or excluded. Compare the cost of the initial phase and the planned later phases, not just the first delivery. If the financing or operating assumptions differ, require the bidders to align them before drawing conclusions.

The LBNL/GSA guide discusses a general potential for lower initial capital costs with modular data centers, but it does not establish a current, universal lifecycle saving for AI facilities. Energy performance also depends on design choices, such as cooling approaches and economizers, rather than on the construction category alone. Treat any savings estimate as a project-specific claim that needs its assumptions and scope disclosed.

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How does phased expansion change the decision?

Modular construction can make it easier to add capacity in repeatable increments, which can help align investment with demand. It does not guarantee that the next increment will be available, affordable, or straightforward to connect when needed.

Phasing is most useful when the project can define a practical unit of expansion and protect the site and infrastructure needed for later phases. Confirm the expected module increments, remaining land, power availability, connection points, cooling capacity, and the disruption required to add capacity. If a later phase needs a major utility upgrade or a redesign of shared systems, repeating the module may not deliver a simple expansion.

Traditional construction can also be phased, but later work may require additional site-specific design and coordination. The choice depends on whether the project values repeatable increments more than the flexibility to shape each phase around local or campus requirements. Energy Innovation’s analysis of phased data-center development discusses modularity as a way data centers are built in phases and highlights the financial-risk dimension. Phasing helps manage investment exposure; it does not remove the need to plan the whole site and its supporting capacity.

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What site, transport, and compliance issues can block a modular project?

A module must be deliverable, supportable, approvable, and connectable at its destination. A factory-built unit does not bypass local code review or the engineering required to integrate it safely into the facility.

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Check transport dimensions and access routes, lifting requirements, structural support, and seismic considerations against the actual module design and site. Confirm how the proposed installation will be reviewed under local building and fire requirements, which authorities need to approve it, and what inspections are required. The project also needs a workable utility connection and an installation plan that accounts for site conditions.

UL Solutions describes its UL 2755:2025 revision as addressing distributed functional modules that operate as an integrated system. That context reinforces an important point: the assessment should cover how the components function together, not just whether individual units arrive from a factory. Confirm the applicable review and certification path with the project’s engineering team and authorities; a named standard or certification is not a substitute for project-specific approvals.

Traditional construction also requires permits, code review, and structural engineering. Its work is more directly designed around local conditions, but it still needs coordinated design and inspection. Neither approach should be treated as a shortcut around compliance.

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When is a hybrid approach the better choice?

A hybrid approach is worth comparing when the project needs custom site or building design but could benefit from factory-built infrastructure. It avoids forcing every part of the project into one delivery method.

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For example, the building and campus layout may be site-built while power or cooling components are prefabricated. Another project may use modular IT capacity within a conventional structure. The appropriate division depends on where repeatability adds value and where site-specific coordination is essential.

Compare the interface responsibilities carefully. State who designs, supplies, connects, and commissions each boundary between the building, prefabricated systems, and IT equipment. A hybrid design can distribute work across suppliers and construction teams; unless responsibilities are explicit, the boundaries can become gaps in schedule, cost, or commissioning scope.

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Vendor materials describe options rather than proving that one arrangement suits every project. For instance, Schneider Electric’s prefabricated AI infrastructure information describes integrated infrastructure offerings, while Vertiv’s modular data center explainer discusses the modular approach and its potential uses. Treat supplier descriptions as product information; validate fit against the project’s requirements and scope.

What should go into an apples-to-apples bid request?

Give every bidder the same workload, facility boundary, and delivery milestone. Otherwise, an apparent price or schedule advantage may simply reflect that one proposal excludes more work.

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  1. Define the IT requirement. State the planned capacity and equipment configuration the facility must serve, plus the redundancy and expansion assumptions used in the comparison.
  2. Set the cooling and power basis. Require each proposal to address the same cooling approach, power-distribution scope, controls, and headroom for the planned expansion.
  3. Draw the project boundary. List the site, building, utility connection, modules, transport, installation, integration, and commissioning work that is included. Mark exclusions rather than leaving them implicit.
  4. Require an end-to-end schedule. Show dependencies and milestones from site readiness and approvals through factory work, delivery, installation, energization, and commissioning.
  5. Request phased cost and operating assumptions. Separate initial and later-phase costs, and make assumptions about energy, water, maintenance, financing, and residual value visible.
  6. Document compliance and acceptance. Identify the structural and code-review path, testing responsibilities, integration points, and the conditions for accepting the completed system.

Then compare each proposal against the same decision priorities. If capacity is urgent, scrutinize the critical path and utility readiness. If demand is uncertain, examine the expansion increments and the cost of each phase. If campus fit is paramount, assess how the design accommodates site conditions and future layout. The best bid is the one that solves the actual project boundary—not the one with the most attractive isolated module price or installation figure.

How should a project team make the final choice?

Choose modular when the project’s strongest needs are repeatable delivery and phased capacity, and engineering confirms the site, power, cooling, transport, and approval interfaces are ready. Choose site-built when bespoke integration or a permanent campus plan is more important. Choose hybrid when those priorities differ across parts of the facility.

Before deciding, ask the team to test the choice against the project’s real constraints: the required ready-for-service date, available power, cooling design, land, approval path, transport access, expansion plan, and operating assumptions. If one of those dependencies is unresolved, a construction label cannot make the project ready. The practical winner is the proposal that meets the workload requirements, exposes its assumptions, and can be delivered and commissioned within the project’s actual constraints.

Frequently Asked Questions

Does modular mean the data center has to be a shipping container?

No. “Modular” describes how components are packaged and delivered; the label alone does not establish the unit’s form, size, or contents. Confirm the proposed configuration and site interfaces in the design documents.

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Can a modular data center be certified as a complete system?

UL describes UL 2755:2025 as addressing distributed functional modules that operate as an integrated system. Ask the project team which assessments apply to the proposed design and how local approval requirements will be met.

Are modular facilities always more energy efficient?

No general efficiency advantage follows from modular construction alone. The LBNL/GSA guide notes that energy performance depends on design choices, including cooling approaches and economizers.

Can a data center use modular construction for only one system?

Yes. A project can prefabricate selected power, cooling, or IT components while building other parts conventionally. The bid should make responsibility for connecting and commissioning those components clear.

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