Terrestrial Data Center Infrastructure Cost

What is the all-in infrastructure cost per kW_IT for a terrestrial AI data center?

Answer

The all-in infrastructure cost per kW_IT for a terrestrial AI data center -- encompassing shell-and-core construction, power distribution, cooling systems, and site infrastructure, but excluding GPU/server hardware -- falls in the range of $8,000-$20,000/kW_IT (equivalently $8-20M/MW_IT), with a central estimate of $12,500/kW_IT ($12.5M/MW_IT) for a US-based hyperscale AI facility in 2025-2026.

This decomposes approximately as:

• Shell and core (building, site, land): $2,500-$4,000/kW_IT
• Electrical infrastructure (switchgear, transformers, UPS, generators, PDUs): $4,000-$8,000/kW_IT
• Cooling systems (liquid cooling CDUs, piping, heat rejection): $1,500-$4,000/kW_IT
• Building fit-out and other systems (fire suppression, security, networking infrastructure): $1,000-$3,000/kW_IT

The optimistic value of $8,000/kW_IT reflects the lowest-cost US markets (Texas) for traditional or lightly AI-optimized facilities. The conservative value of $20,000/kW_IT captures fully AI-optimized facilities with liquid cooling, 2N redundancy, and behind-the-meter power infrastructure in high-cost markets.

Analysis

Decomposing infrastructure cost from total project cost

The central challenge in this question is separating infrastructure cost from GPU/server hardware cost. Many widely cited $/MW figures bundle everything together:

• McKinsey's $42M/MW average mckinsey-cost-of-compute.1 includes IT equipment ($3.3T for servers, storage, and networking) and DC infrastructure ($1.6T). Stripping out IT equipment leaves ~$12,800/kW_IT in facility infrastructure ($1.6T / 125 GW), plus power generation ($0.3T / 125 GW ≈ $2,400/kW).

• xAI's $9M/MW figure xai-colossus-expansion.1 is explicitly GPU-only cost ($18B for 2 GW). Infrastructure is additional but hard to isolate from public filings.

• JLL's $11.3M/MW jll-2026-dc-outlook.1 is infrastructure-only (shell-and-core), making it the cleanest benchmark -- but it excludes the AI-specific fit-out which adds substantially.

Building the infrastructure-only cost stack

Using the component percentages from Dgtl Infra dgtl-infra-dc-cost-breakdown.1 and Cushman & Wakefield cushman-wakefield-dc-cost-2025.1, and calibrating against JLL shell-and-core data jll-2026-dc-outlook.1:

For a standard US hyperscale DC ($10-12M/MW all-in infrastructure):

For an AI-optimized facility, add:

• Liquid cooling premium: +$1.5-2M/MW over air cooling introl-liquid-cooling.1
• Higher-density power distribution (480V busbars, enhanced UPS): +$1-3M/MW
• Reinforced flooring for 1,500+ kg racks: included in fit-out
• AI premium on base build: +7-10% turner-townsend-dcci-2025.2

This brings the AI-optimized total to roughly $12-18M/MW for a greenfield US facility.

JLL fit-out paradox

JLL reports shell-and-core at $10.7-11.3M/MW, then states AI fit-out adds "up to $25M/MW" jll-2026-dc-outlook.2. If taken literally, that would imply $36M/MW total infrastructure -- which seems high relative to other sources. The $25M/MW likely includes rack-level power distribution equipment, networking infrastructure, and possibly some IT-adjacent hardware (server chassis, cables) that blurs the infrastructure/IT boundary. The fit-out figure may also represent extreme cases (very high density, full liquid cooling, 2N+1 redundancy). For our purposes, the infrastructure-relevant portion of AI fit-out is likely $5-10M/MW above standard fit-out.

Behind-the-meter power

A growing trend is the inclusion of on-site power generation (gas turbines, solar, batteries) in the facility cost envelope. McKinsey's "Beyond compute" estimates 25% of total investment goes to power generation and electrical infrastructure mckinsey-beyond-compute.1. The Catalyst podcast notes 30% of planned US DC capacity includes BTM power (latitude-btm-traction). When BTM generation is included, infrastructure costs can increase by $2-5M/MW depending on technology (gas turbines cheaper, nuclear significantly more expensive).

Our central estimate excludes BTM power generation capex, treating it as a separate line item analogous to a grid connection charge. If BTM were included, the upper range would shift to $22-25M/MW.

Regional spread

Proposed values

• Optimistic: $8,000/kW_IT ($8M/MW) -- Reflects the floor achievable in lowest-cost US markets (Texas) for large hyperscale facilities with modest AI optimization, taking advantage of economies of scale, favorable labor costs, and streamlined permitting. Also roughly corresponds to non-AI-premium global average.

• Central: $12,500/kW_IT ($12.5M/MW) -- US average for an AI-optimized hyperscale facility with liquid cooling, covering shell-and-core ($4,000-5,000/kW), electrical infrastructure ($4,500-5,500/kW), cooling systems ($2,000-3,000/kW), and fit-out ($1,500-2,500/kW). Consistent with Cushman & Wakefield's $11.7M/MW average plus the 7-10% AI premium from Turner & Townsend.

• Conservative: $20,000/kW_IT ($20M/MW) -- Represents fully AI-optimized facilities in high-cost markets with full liquid cooling, 2N redundancy, behind-the-meter power conditioning (but not generation), and premium construction timelines. Captures the high end of the alpha-matica $9-15M/MW infrastructure range plus AI fit-out premiums. Consistent with reports of AI facilities "easily doubling" standard costs to $20M/MW or more.

Cost trajectory outlook

Infrastructure costs have increased at ~7% CAGR from 2020-2025 jll-2026-dc-outlook.1, but the rate is moderating (5.5% in 2025 vs 9.0% in 2024 per turner-townsend-dcci-2025.3). Several countervailing forces:

Upward pressure: AI density requirements (liquid cooling, reinforced floors, higher-amperage power distribution), supply chain constraints (transformer lead times at 128 weeks per powermag-transformer-shortage), labor shortages in skilled trades, and increasing behind-the-meter power requirements.

Downward pressure: Economies of scale at GW+ campuses, modular/prefabricated construction techniques (xAI built in 122 days), standardized pod designs reducing procurement costs, and competition among hyperscalers driving efficiency innovation.

Net assessment: Infrastructure costs likely continue rising at 4-6% annually through 2027-2028, then stabilize as supply chains catch up and modular construction techniques mature. The AI premium may narrow as liquid cooling becomes the default rather than a premium option.

Evidence

Shell-and-core construction costs

E1. JLL 2026 Global Data Center Outlook reports shell-and-core construction costs increased from $7.7M/MW in 2020 to $10.7M/MW in 2025, with a 2026 forecast of $11.3M/MW (6% increase). This figure covers the building structure and basic site infrastructure only, and explicitly excludes tech fit-out. JLL states that AI tech fit-out can add up to $25M/MW on top of shell-and-core.

E2. Turner & Townsend DCCI 2025 reports a 5.5% YoY cost increase for traditional cloud/air-cooled data centers, measured in $/W across 52 global markets. The index identifies a 7-10% construction cost premium for AI-ready facilities over traditional ones. Most expensive markets: Tokyo $15.2/W, Singapore $14.5/W, Zurich $14.2/W. US markets: Silicon Valley $13.3/W, New Jersey $12.9/W, Charlotte $9.5/W.

E3. Cushman & Wakefield US Data Center Development Cost Guide 2025 found costs across 19 US markets ranging from $9.3M/MW (San Antonio) to $15M/MW (Reno), with an average of $11.7M/MW. Texas markets (Dallas, Austin, San Antonio) consistently recorded the lowest costs. This figure covers the full development cost (shell, MEP, fit-out) but excludes IT equipment, land acquisition, and soft costs.

E4. ChinaTalk US vs China DC cost comparison states US data center construction costs are $8-12M/MW, with a midpoint assumption of $10M/MW. Chinese data centers cost $5.5-6.5M/MW. These figures cover construction only, separate from hardware.

Cost breakdown by component

E5. Dgtl Infra cost breakdown decomposes total data center development costs ($7-12M/MW) as follows: Electrical systems 40-45% of total (the single largest component); HVAC/mechanical/cooling ~20%; powered shell (land + building) 17-21%; building fit-out and other systems 20-25%. MEP systems collectively consume up to 50% of total budgets.

E6. Dgtl Infra reports per-sqft costs: land $25-75/sqft, building shell $80-160/sqft, data center improvements (electrical, HVAC, fire suppression, fit-out) $520-900/sqft. Total development: $600-1,100/sqft.

E7. TrueLook DC Construction Cost analysis confirms electrical systems at 40-45% of total, with cooling systems commanding 43.2% of mechanical infrastructure spending in 2024 (showing significant growth). Air cooling infrastructure costs $1.5-2M/MW; liquid cooling $3-4M/MW.

AI-specific infrastructure premium

E8. JLL states AI tech fit-out adds up to $25M/MW. This covers power distribution at higher densities, liquid cooling infrastructure (CDUs, piping, heat rejection), rack-level power delivery (busbars, 480V distribution), and reinforced flooring for heavier AI racks.

E9. Turner & Townsend identifies a 7-10% construction cost premium between traditional and AI data centers in the US, reflecting higher complexity of AI-supporting facilities. This is the premium on the shell-and-core/base build, separate from the much larger fit-out premium.

E10. Introl GB200 NVL72 deployment guide reports that facility upgrades to support a single NVL72 rack cost $5-10M: reinforced flooring, 480V power distribution, liquid cooling infrastructure, and expanded network capacity. A single NVL72 rack draws 120 kW, implying retrofit infrastructure cost of $42-83/W_IT for brownfield conversions.

E11. Alpha Matica analysis models a 100 MW hyperscale data center with total CapEx of $3.4B-$5.5B ($34-55/W including IT hardware). Initial construction cost (infrastructure only) ranges from $900M-$1.5B for a 100 MW facility, implying $9-15M/MW infrastructure cost.

Cooling system costs

E12. Introl liquid cooling analysis reports complete liquid cooling infrastructure costs $3-4M/MW for new builds. Air cooling costs $1.5-2M/MW. Retrofit to liquid cooling costs $2-3M/MW with 40% energy savings. Building new 100 kW-capable rack infrastructure costs $200K-300K per rack.

E13. Introl CDU cost analysis prices CDUs at $75K-150K per 500 kW unit. Piping installation runs $50-100 per linear foot. Cold plates and manifolds add $5K-10K per server. The CDU market is projected to grow from ~$1B to $7.7B at 33% CAGR.

E14. Introl liquid vs air cooling reports PUE values: air cooling 1.4-1.8; liquid cooling 1.05-1.15; immersion cooling 1.02-1.03. The PUE difference directly impacts the ratio of total facility power to IT load, and therefore the effective infrastructure cost per kW_IT.

Power infrastructure costs

E15. McKinsey "Beyond compute" estimates 25% ($1.3T) of $5.2T AI-related data center investment through 2030 goes to "energizers" — power generation, transmission, cooling, and electrical equipment. (Note: the article frames this against a $6.7T total that includes non-AI workloads, but the $1.3T figure is 25% of the $5.2T AI subset, not 25% of $6.7T.) With projected 219 GW total demand, this implies ~$5,900/kW_total (total facility demand including cooling and power delivery) in power/cooling infrastructure at the macro level.

E16. McKinsey "Cost of compute" projects $6.7T total data center capex by 2030 ($5.2T for AI, $1.5T for non-AI). Exhibit 2 breaks down the $5.2T AI capex by category: DC infrastructure $1.6T, IT equipment $3.3T (server, storage, network; includes accelerator replacement every 4 years), power $0.3T. By investor archetype: 60% ($3.1T) to technology developers (chips/hardware), 25% ($1.3T) to energizers (power, cooling, electrical), 15% ($0.8T) to builders (land, site development). The headline "$42M/MW" figure ($5.2T / 125 GW) is an all-in number covering IT equipment + infrastructure + power; the power basis is kW_IT (incremental AI compute capacity). The $1.6T DC infrastructure for 125 GW incremental AI capacity implies ~$12,800/kW_IT for facility infrastructure excluding IT equipment and power generation.

E17. Thunder Said Energy models standard data center capex at ~$10M/MW. AI data centers with heavy compute can reach $40,000/kW total capex, with over half being GPUs. This implies AI infrastructure-only capex of up to ~$15-20M/MW.

E18. SemiAnalysis "Datacenter Anatomy Part 1: Electrical Systems" describes the standard power distribution path: MV switchgear, step-down transformers (to 415V AC), diesel generators, ATS (automatic transfer switches), UPS systems with 5-10 min battery storage, and PDUs. Microsoft uses standardized 3 MW generator and 3 MVA transformer pods for modularity and procurement efficiency.

Macro-level cost validation

E19. xAI Colossus: 2 GW facility, 555,000 GPUs, ~$18B total. Building permit filed for $659M. Land acquired for $80M. If $18B is primarily GPU cost (~$9M/MW in GPU costs per the source summary), then infrastructure cost is additional. The $659M building for a fraction of the 2 GW campus, plus the $80M land, suggests infrastructure costs in the range of $3-6B for the full 2 GW facility, or roughly $1.5-3M/MW -- but this is likely low because xAI used repurposed industrial infrastructure and behind-the-meter gas turbine power (not included in standard facility cost comparisons).

E20. The Catalyst podcast notes that "only 5-15% of DC cost is energy" and that chip supply chain is the dominant cost. This implies infrastructure cost is a secondary but significant fraction of total -- consistent with the pattern that GPU hardware dominates total data center capex.

Regional variation and cost trajectory

E21. Turner & Townsend: YoY cost increase slowed from 9.0% (2024) to 5.5% (2025), suggesting cost pressure is moderating but still positive. The 7% CAGR from 2020-2025 (JLL data) shows sustained upward trajectory.

E22. Cushman & Wakefield: Texas is the lowest-cost US market at $9.3-10M/MW. High-cost markets (Reno, Silicon Valley) reach $13-15M/MW. This is a ~60% spread from lowest to highest US market.

E23. ChinaTalk: Chinese construction costs ($5.5-6.5M/MW) are roughly 40-50% lower than US costs due to cheaper labor, faster construction timelines, and lower regulatory burden.

E24. JLL forecasts 6% cost increase for 2026 to $11.3M/MW average shell-and-core globally. The trajectory suggests continued but decelerating cost inflation as supply chains stabilize but AI density requirements continue to escalate.