Factory-Built AI Data Centers: Mod42's Answer to the Power Problem

Tue, 20 Oct 2026 19:00:00 +0000

Valerie Crafton has spent more than 20 years on the owner side of hyperscale data center construction. As Chief Revenue Officer at Mod42, she's now asking a question the industry has largely avoided: why are we still building data centers the same way we always have?

The answer, she says, is that we've been normalizing inefficiency for a long time.

Mod42 builds factory-manufactured, modular data centers designed to deploy AI workloads in less than seven months. The company's approach flips the traditional site selection model — instead of finding land and waiting for power, Mod42 builds where power already exists.

I spoke with Crafton about how that model works in practice, what the 7-month timeline actually requires, and where she sees AI infrastructure heading over the next 18 months.

The problem with how data centers get built

The traditional approach assumes you find a large piece of land, design a massive facility, and then bring power and infrastructure to it. That worked when power was readily available and AI demand was predictable. Neither of those conditions holds today.

"We have a power availability challenge, but we also have a construction efficiency challenge," Crafton said. "And I believe we have spent far too long normalizing inefficiency in how we build data centers."

Mod42's factory-built approach manufactures complete volumetric data center modules — structural enclosure, mechanical and electrical systems, controls, fire protection, security — in a controlled environment while site development happens in parallel. The result is a smaller, repeatable deployment unit rather than a commitment to an entire hyperscale campus from day one.

Power-first site selection

For Mod42, power isn't the last step in site selection. It's the first conversation.

Traditional site selection starts with land availability, geographic preferences, and proximity to major markets. Crafton said those factors still matter, but the model has shifted.

"Today we need to understand where usable power exists, how much is available, when it can be delivered, and under what conditions," she said.

The team evaluates electrical capacity, utility infrastructure, substations, transmission and distribution constraints, fiber connectivity, zoning, and permitting. But it also looks for what traditional developers tend to overlook — industrial facilities with existing electrical infrastructure, former manufacturing properties, underutilized industrial sites, or land adjacent to an existing power asset.

Mod42 is also active in behind-the-meter strategies, including microgrids, battery energy storage, and alternative generation. The key distinction Crafton draws: megawatts on paper aren't necessarily deliverable megawatts. Power strategy, reliability requirements, and site readiness all have to be validated.

The model is power-source agnostic. Mod42 designs its modular infrastructure to integrate with whatever power solution the customer selects.

There's also a community angle Crafton says doesn't get enough attention. Repurposing existing industrial sites means bringing economic activity back to communities that already have industrial foundations — and doing it without hundreds of acres of new construction.

How 7 months actually works

The 7-month deployment timeline is one of Mod42's central claims, and Crafton is direct about what makes it possible and what it doesn't eliminate.

Three things drive the compressed timeline.

First, parallel execution. Traditional construction is sequential — prepare the site, construct the building, install equipment, coordinate trades, integrate systems, commission. With Mod42's approach, the site team prepares foundations and electrical distribution while modules are being manufactured. Both tracks run at the same time.

Second, repeatability. Mod42 doesn't reinvent the design with every project. Standardized engineering and established manufacturing processes reduce repetitive design work, trade congestion, field coordination, and rework.

Third, factory quality control. Assembly, integration, and initial testing happen in a controlled environment before modules ship.

For a standard configuration, the first modular block typically takes four to six months to manufacture. Mod42 has demonstrated faster delivery for NVIDIA-architecture builds when design is finalized and materials are available. Once production is established, the company targets a new modular block approximately every six days per production line.

But Crafton is clear about what the factory model doesn't fix.

"Modular construction doesn't magically eliminate utility interconnection timelines, environmental permits, or long-lead equipment constraints," she said. "What it does is eliminate unnecessary construction dependencies and allow us to work on multiple critical paths simultaneously."

Seven months is achievable when power, permitting, site infrastructure, equipment availability, and customer decisions are aligned. Speed is a function of front-end decisions, not just manufacturing throughput.

Warehouses and adaptive reuse

Mod42 can deploy inside existing warehouses or industrial buildings, not just on greenfield sites. Crafton said adaptive reuse is one of the most interesting opportunities in the market right now.

The value of an existing industrial property often isn't the building itself — it's the power infrastructure, location, existing entitlements, or the surrounding industrial ecosystem. Transformers, substations, and electrical distribution may already be in place and reusable.

That said, not every warehouse qualifies. Structural capacity, clearances, access, fire protection, cooling infrastructure, and electrical distribution all have to be evaluated.

Greenfield sites offer more flexibility for campus layout, expansion, and utility infrastructure. But Crafton argues the industry's default toward new construction at enormous scale is worth questioning.

"Why are we automatically assuming that the answer to growing compute demand is another enormous building consuming hundreds of acres, requiring years of construction, and bringing thousands of temporary construction workers into smaller communities?" she said.

The factory model allows for more stable manufacturing jobs and a skilled workforce built around repeatable production, rather than the traditional pattern of temporary construction crews moving from project to project.

What changed after 20 years on the owner side

Crafton spent most of her career managing the complexity of hyperscale construction from the owner's perspective — trade stacking, workforce availability, quality inconsistencies, weather, sequencing, material delivery, schedule recovery. She said the biggest shift in her thinking wasn't that data centers could be manufactured in a factory. It was realizing how many of those constraints could be fundamentally rethought.

"We don't have to keep designing the building around the data center," she said. "We can design the infrastructure around the compute."

That matters more as AI hardware evolves. The factory model doesn't remove complexity — it creates a better opportunity to control it.

High-density AI and the flexibility question

One assumption Crafton pushes back on is that modular means inflexible. Her position is the opposite: standardize what should be repeatable, preserve flexibility where technology is still evolving.

Mod42's standard platform supports approximately 2.5 megawatts of critical IT capacity per modular block, with rack densities up to approximately 160 kilowatts per rack depending on equipment and cooling design. The modules support direct-to-chip liquid cooling and rear-door heat exchangers, with integrated mechanical, electrical, and controls infrastructure.

The incremental deployment model means operators can bring capacity online in phases aligned with actual demand rather than building an entire campus around projected future requirements. Modular doesn't mean every customer gets the same configuration — it means starting from a proven engineering platform and adapting to the customer's workload.

Who Mod42 is for

Crafton said Mod42 doesn't define its market by customer size. It's defined by the infrastructure problem a customer needs to solve.

AI compute demand is coming from hyperscalers, neoclouds, GPU infrastructure providers, enterprises, and developers building capacity for those customers. Each has different requirements, but many face the same challenge: they need reliable, high-density compute faster than traditional development can deliver.

Mod42's platform supports smaller initial deployments and large-scale phased campuses. A customer might need 10 or 20 megawatts now with a longer-term strategy to grow into hundreds. The modular approach supports that without treating the entire future campus as a single construction event.

"Our value proposition is not limited to companies that cannot access hyperscale capacity," Crafton said. "It is for organizations that recognize the traditional delivery model may not be the most efficient way to meet today's demand."

What comes next

Over the next 18 months, Mod42 is focused on scaling manufacturing capacity, expanding across North America, and evolving its platform alongside next-generation compute technologies. The company has manufacturing capabilities in New York and Arizona, with geographic flexibility to support deployments across different regions including Canada.

On the product side, the focus is on higher-density computing, evolving GPU architectures, liquid cooling, and increasingly sophisticated power and infrastructure integration.

Crafton's broader view is that the next generation of data centers won't all look like the enormous campuses the industry has come to expect. Some will. But others will be smaller, distributed, integrated into existing industrial environments, and located where available power creates an economic advantage.

"I want to help change the way our industry thinks about building," she said. "We should no longer accept that digital infrastructure must automatically require years of construction, massive land consumption, and extraordinary disruption to surrounding communities."

Mod42's pitch is simple: stop normalizing inefficiency. Build around compute, power, people, and communities — not just bigger buildings.

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Factory-Built AI Data Centers: Mod42's Answer to the Power Problem