Regional Intelligence

AI Datacenter Markets

Fiber, power readiness, and site scores across 30+ global datacenter markets. Data-driven location intelligence for AI infrastructure deployment.

30 Markets Tracked

Why Location Matters

The Geography of AI Compute Economics

Site selection for AI infrastructure is no longer just about proximity to users. Power costs vary 4x between markets ($0.04–$0.18/kWh), interconnection queue times range from 6 months to 5+ years, and regulatory environments can make or break a project timeline.

Our regional intelligence synthesizes power market data, fiber availability, permitting timelines, and vacancy rates into actionable readiness scores. Whether you're evaluating a greenfield campus in ERCOT or retrofitting existing capacity in Virginia, these metrics quantify the true cost of deployment.

Each market page includes Time-to-Power Scores (TTPS), Curtailment Stress Scores (CSS), and Power-Adjusted Yield (PAY)—the indices that infrastructure investors and developers use to validate site economics.

Our Methodology

Regional Readiness Indices

Time-to-Power Score (TTPS)

Quantifies interconnection queue position, utility responsiveness, and expected months-to-energization. Critical for project finance timelines.

6-60 months

Curtailment Stress Score (CSS)

Real-time grid congestion risk based on renewable penetration, transmission constraints, and historical curtailment events.

0-100 scale

Power-Adjusted Yield (PAY)

Synthesizes power cost, availability, grid risk, and incentives into a site-level investment attractiveness score.

IRR proxy

Market Selection

Regional FAQ

How do Tier 1 and Tier 2 markets differ?

Tier 1 markets (Ashburn, Dallas, Phoenix, etc.) offer proven infrastructure, deep fiber connectivity, and established hyperscaler presence—but with higher costs and tighter vacancy. Tier 2 markets provide 30-50% lower power costs and available capacity, ideal for training workloads where latency is less critical.

What drives power cost differences between markets?

Power costs vary based on utility rate structures, renewable energy mix, demand charges, and grid congestion. ERCOT markets benefit from deregulated wholesale pricing and wind/solar surplus, while PJM capacity markets add demand-based charges. We track all-in rates including transmission and ancillary costs.

How often is market data updated?

Vacancy and pricing data refreshes quarterly from broker surveys and public filings. Real-time indices (TTPS, CSS) update daily based on ISO/RTO feeds. Power cost benchmarks adjust monthly to reflect utility tariff changes and wholesale market movements.

Which markets are best for AI training vs inference?

Training favors low power cost and high vacancy markets (Columbus, Kansas City, Austin) where latency matters less. Inference demands low-latency edge presence near users—driving demand in Atlanta, Miami, and emerging secondary metros near population centers.

How do you calculate site readiness scores?

Readiness scores combine TTPS (interconnection timing), available power capacity, fiber lit building counts, local permitting timelines, and incentive availability. Each factor is weighted by deployment phase: site selection, development, or expansion.

Need Custom Market Analysis?

Access real-time TTPS, CSS, and PAY scores for any market—plus custom site comparisons and investment modeling.

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