AI Colocation & Datacenter Pricing

Summary12 Data Sources

What are the average pricing benchmarks for AI colocation?

AI-ready colocation pricing typically ranges from $250 to $450 per kW/month, depending on the market and power density. High-demand hubs like Silicon Valley and Ashburn command premium rates, while markets like Phoenix offer more competitive power availability and pricing.

Key Data Points

  • Pricing Range: $250 - $450 per kW/month
  • Power Density: 10 - 25kW+ per rack (AI-optimized)
  • Deployment Timeline: 6 - 18 months for large scale capacity
  • Top Markets: Northern Virginia, Phoenix, Dallas, Frankfurt

Comprehensive AI-ready colocation pricing and availability across major markets. Compare power density, cooling capabilities, and network connectivity for optimal AI infrastructure deployment.

PowerWaterEdge

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Move from static market browsing to live readiness tracking with power, water, and edge overlays.

Power Density

10-25

kW per rack (AI-ready)

Pricing Range

$250-450

per kW/month

Markets Covered

23

Major datacenter hubs

Typical Deployment

6-18

months timeline

Major AI Colocation Markets

Phoenix, AZ

Leading AI colocation market with abundant power

Typical Pricing$250-320/kW/mo
Power AvailabilityHigh
AI ReadinessExcellent
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Ashburn, VA

East Coast connectivity hub

Typical Pricing$300-380/kW/mo
Power AvailabilityMedium
AI ReadinessExcellent
View detailed pricing →

Dallas-Fort Worth

Central location with ERCOT power

Typical Pricing$280-380/kW/mo
Power AvailabilityHigh
AI ReadinessExcellent
View detailed pricing →

Silicon Valley

High-demand with premium pricing

Typical Pricing$350-450/kW/mo
Power AvailabilityMedium
AI ReadinessExcellent
View detailed pricing →

Chicago

Midwest connectivity hub

Typical Pricing$280-380/kW/mo
Power AvailabilityMedium
AI ReadinessExcellent
View detailed pricing →

Frankfurt

European connectivity hub with renewable power

Typical Pricing$280-350/kW/mo
Power AvailabilityMedium
AI ReadinessExcellent
View detailed pricing →

Regional Pricing Analysis

AI-Ready Colocation Specifications

Power & Cooling

  • • 10-25kW+ per rack density
  • • Liquid cooling support
  • • Redundant power feeds (2N)
  • • High-efficiency UPS systems

Network & Connectivity

  • • Multi-homed fiber connectivity
  • • Low-latency to major exchanges
  • • 99.99%+ uptime SLA
  • • Direct cloud on-ramps

AI Optimizations

  • • GPU cluster ready configurations
  • • High-speed interconnect fabric
  • • Enhanced security perimeters
  • • Remote hands support 24/7

Explore More

Colocation & Infrastructure Tools

PRO TOOL

Colocation Pricing

Metro-level colocation cost analysis with market data

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PRO TOOL

Water Usage Calculator

Datacenter cooling water consumption analysis

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PRO TOOL

BTM Power ROI

Compare Grid vs SMR vs Hydrogen power economics

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PRO TOOL

Golden Zones Finder

Identify optimal datacenter locations based on power, fiber, incentives

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Water Risk & Infrastructure Readiness

Evaluating water stress goes hand-in-hand with power and edge network readiness. Datacenters require massive cooling capacity, making municipal water morality and drought risk critical factors in site selection.

PowerWaterEdge

Open Speed-to-Power Watchlist

Track power, water, and edge changes that can reshuffle shortlist timing.

Edge Infrastructure Risk Assessment

Edge readiness is critical for latency-sensitive AI inference workloads. Our Edge Risk Index evaluates fiber density, network latency, and colocation availability across 20+ major markets to help you optimize distributed inference deployments.

PowerWaterEdge

Explore Edge Readiness Scores

View latency metrics, fiber density, and edge colocation availability across all tracked markets.

Power Infrastructure Risk Assessment

Power availability is the primary constraint for AI datacenter deployment. Our Power Risk Index evaluates interconnection queues, curtailment exposure, and behind-the-meter strategies across 20+ major markets to help you de-risk power procurement.

PowerWaterEdge

Explore Power Risk Scores

View interconnection timelines, PPA structures, and curtailment risk across all tracked markets.

Open Readiness Map