DCFR Insight 26 / Data Center Strategy + Site Planning
Site StrategyWhere Should a Data Center Live? Vertical, Underground, Underwater, or Cold-Climate?
When unconventional data center forms create more value than complexity—and why location, power, cooling, connectivity, risk, cost, and scalability must be evaluated together.

Why the Low-Rise Campus Remains the Default
A low-rise campus solves several mission-critical problems efficiently. Heavy Information Technology (IT), electrical, battery, cooling, and distribution loads can be carried relatively directly to foundations. Major equipment remains accessible from grade, while transformers, generators, cooling equipment, fuel systems, loading areas, and replacement routes can be organized around the building rather than stacked through it. Horizontal infrastructure also simplifies redundancy: independent electrical and mechanical paths can be geographically separated, and future capacity can often be delivered by repeating a proven module rather than modifying an occupied vertical structure. Multi-story facilities already operate in dense markets, but the economics change only when scarce land, network proximity, or a strategically necessary urban location justifies vertical construction.
Low-rise is not technologically superior in every situation. It is usually economically and operationally simpler.
Six Physical Models
The relevant comparison is not novelty versus convention. It is the advantage each physical model creates, the constraint it introduces, and the market condition in which that exchange makes sense.
Six Physical Models
| Model | Principal advantage | Principal constraint | Where it makes sense |
|---|---|---|---|
| Low-rise campus | Simple infrastructure, expansion, and replacement | High land consumption | Hyperscale and large AI campuses |
| Multi-story | Higher megawatts per acre | Structural and vertical distribution complexity | Land-constrained metropolitan markets |
| High-rise | Maximum land efficiency | High capital cost and difficult equipment logistics | Exceptional urban or latency-driven sites |
| Underground | Security, stable environment, and low visual impact | Excavation, water management, egress, and access | Existing mines, hardened facilities, and suitable geology |
| Underwater | Stable thermal sink and sealed operation | Maintenance, retrieval, and subsea infrastructure | Specialized modular applications |
| Cool-climate campus | Greater economization potential | Climate cannot compensate for weak power or fiber | Regions combining cold climate with strong infrastructure |
When Does Vertical Actually Make Sense?
A high-rise data center is not simply a warehouse turned on its side. Power must move through high-capacity vertical risers, cooling must negotiate elevation and longer distribution paths, and structural systems must support concentrated loads floor after floor. Large-equipment replacement requires planned hoist routes, removable façade panels, freight elevators, roof lifting zones, or permanent rigging. Compartmentation, firefighter access, smoke management, emergency power, egress, hazardous systems, and equipment separation must also be solved vertically. The design question is not how tall the facility can become, but what land value, latency requirement, zoning condition, or infrastructure constraint makes stacking capacity financially preferable. In many constrained markets, two to six stories may capture much of the land benefit without all of the penalties of a true tower.
Choose height only after the land, latency, zoning, and infrastructure case pays for vertical complexity.

Could a Data Center Go Underground?
Yes. Lefdal Mine Data Centers occupies a former Norwegian mine with six underground levels and 75 chambers; the company reports up to 120,000 square meters of white space and approximately 200 megawatts of potential capacity, supported by cold fjord-water cooling. Green Mountain's SVG-Rennesøy facility similarly reuses a former North Atlantic Treaty Organization ammunition-storage complex inside a mountain. These projects expose a crucial distinction: adaptive reuse of favorable underground infrastructure is fundamentally different from excavating a new hyperscale campus. Purpose-built underground development must resolve geology, groundwater, waterproofing, drainage, firefighting access, smoke exhaust, emergency egress, equipment delivery, replacement logistics, shafts, cable routing, and construction sequencing. The equation may work for an existing mine, cavern, hardened facility, or unusually favorable geology; for an ordinary greenfield site, complexity will usually outweigh the land-saving benefit.
Treat the ground as part of the structural, waterproofing, mechanical, fire-safety, and operational system.
What About Underwater?
Microsoft's Project Natick showed that subsea computing is technically credible. Its Northern Isles prototype operated on the seabed near Scotland for approximately two years, and Microsoft reported roughly one-eighth the failure rate of its land-based control group. The sealed prototype was intended for long, unattended operation. Its strongest lesson is not that conventional campuses should be submerged; it is that removing people, stabilizing the internal environment, industrializing modules, and designing for lights-out operating cycles may improve reliability. Commercial barriers remain substantial: subsea power and fiber, vessel deployment, permitting, marine review, corrosion protection, retrieval, failure response, refresh cycles, and the inability to repair equipment conventionally. Subsea computing therefore remains more compelling as a specialized modular strategy than as a default replacement for terrestrial Artificial Intelligence (AI) campuses.

Is the Arctic the Best Place for a Data Center?
Cold weather is valuable, but the coldest location is not automatically the best location. Climate-appropriate airside, waterside, and refrigerant-based economization can reduce cooling energy, while modern liquid cooling changes the relationship among outdoor conditions, cooling energy, and water use. Yet a remote Arctic site with inexpensive land and excellent natural cooling may still lose to a warmer location with deliverable electrical capacity, diverse fiber, faster permitting, a strong construction workforce, lower logistics risk, and better customer access. Climate is one variable inside the site-selection system—not a substitute for it.
Cold air cannot compensate for weak power, fiber, permitting, or logistics.
The Real Optimization Problem
Evaluate the data center environment as one system: power availability, time to power, power economics, fiber, climate, cooling, water, natural hazards, land, permitting, logistics, scalability, and community compatibility. Cheap land cannot compensate for unavailable power. Abundant power cannot compensate for an unpermittable parcel. Excellent infrastructure cannot compensate for geometry that cannot accommodate buildings, electrical yards, cooling systems, stormwater, service circulation, buffers, and future phases. Early feasibility should compare several candidate sites rather than attempt to justify the first parcel presented.
Do not allow one favorable variable to create a false positive for the entire site.

DCFR Design Principle
The future of data center architecture will not be one universal building type. Land-rich regions will continue to favor low-rise modular campuses. Dense metropolitan markets will push infrastructure vertically. Existing mines and hardened environments may support effective underground facilities. Subsea systems may remain valuable for specialized applications. Cool climates will continue to offer thermal advantages, and high-density AI will change every typology through liquid cooling and new electrical architectures. The decisive question is which combination of physical form, location, power, cooling, connectivity, risk, cost, and scalability produces the most resilient capacity with the least development friction.
Select the form that strengthens the complete delivery system—not the form that optimizes one isolated metric.
Current Technical Basis — August 2026
Lefdal Mine Data Centers
Lefdal Mine Data CenterGreen Mountain
SVG-Rennesøy data centerMicrosoft
Project Natick findingsTechnical basis reviewed August 2026. Cooling technology, equipment capability, vendor qualification, and industry guidance continue to evolve; project decisions should use the latest applicable manufacturer data and professional engineering analysis.
Capacity-delivery review checklist
What to verify before the next release gate.
- Compare low-rise, vertical, underground, subsea, and climate-led options against the same capacity and resilience brief.
- Confirm deliverable power, time to power, utility phasing, and electrical-yard requirements.
- Map diverse fiber routes, latency requirements, and customer proximity.
- Test structure, vertical distribution, fire access, egress, and equipment-replacement routes for stacked schemes.
- Investigate geology, groundwater, waterproofing, drainage, smoke control, and access for underground schemes.
- Quantify cooling energy, water, heat rejection, maintenance access, and climate exposure.
- Screen permitting, natural hazards, construction labor, logistics, community impacts, and future phases.
What DCFR would flag
Delivery risks that should be visible early.
An unconventional form is a development risk when its signature advantage is clear but its power, fiber, access, permitting, maintenance, or expansion pathway is not.
Professional confirmation required
Items requiring project-specific validation.
All capacities, cooling opportunities, utility conditions, geology, structural loads, life-safety strategies, environmental approvals, costs, and schedules require project-specific confirmation by the owner, utilities, authorities having jurisdiction, and qualified design professionals.
Final takeaway
The data center should live where the complete system—not one isolated variable—delivers resilient, scalable capacity with the least development friction.
Surface site, code, utility, and delivery risk before it becomes expensive.
DCFR converts early assumptions into planning-grade flags, confirmation registers, and decision-ready feasibility outputs.