The best data-center location is not a city with the cheapest land or the coolest weather. It is a site that can deliver the required electrical load by your energization date, connect to the networks your workload needs, support the planned cooling system, survive relevant hazards, obtain permits, and expand at an acceptable whole-life cost.
Choose it by defining the workload and non-negotiable constraints first, proving utility deliverability and schedule, then comparing network, land, cooling, water, resilience, permitting, community, labor, policy and lifecycle economics with documented evidence. A weighted scorecard is useful only after a candidate passes hard gates for power, timing, latency, legal control and cooling feasibility.
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Start with a workload and a set of pass/fail gates
“AI workload” can describe a training campus, an inference service, a general cloud region, a high-performance-computing cluster or a mixed facility. Each has a different location profile. Training can tolerate more geographic flexibility when data movement is planned in advance. Inference and interactive cloud services usually place greater value on predictable latency to users and nearby ecosystems. A mixed site may need both a low-latency edge connection and a large, expandable power block.
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Write a one-page requirements brief before asking jurisdictions for proposals. Include:
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- Workload type, data locality and any residency or sovereignty obligations.
- Current and projected IT load, rack-density assumptions, operating hours and deployment phases.
- Target energization and service-launch dates.
- Latency objectives to users, cloud regions, exchanges, storage and partner networks.
- Availability and redundancy objectives for power, cooling and telecommunications.
- Cooling concept, allowable environmental conditions and water strategy.
- Campus acreage, phasing and expansion horizon.
- Financial evaluation period, acceptable price volatility and required return thresholds.
Turn the following into explicit gates rather than allowing a high score in one category to conceal a fatal weakness:
- Power gate: documented firm capacity and an achievable interconnection path.
- Schedule gate: usable load available by the date the first phase must operate.
- Latency gate: measured or contractually supportable network performance for the workload.
- Site-control gate: clear title or enforceable control of the land, with required easements.
- Cooling gate: a technically and legally feasible cooling and resource plan.
If no location clears a gate, change the deployment pattern, phase the capacity, move the service region or revise the date. Do not hide the constraint inside an aggregate score.
Prove electrical capacity and delivery timing first
Power is often the schedule-critical dependency. ASHRAE’s AI Data Center Energy Performance Framework advises: “Prioritize power availability and grid capacity early in site selection, as utility constraints and interconnection timelines are now primary drivers of feasibility and schedule risk.” A transmission line visible from a parcel is not proof that the grid can serve your project.
What to request from the utility
Ask for a written, project-specific capacity and interconnection assessment. It should identify:
- The firm load the utility can commit, at the voltage and reliability level your design requires.
- The proposed point of interconnection, substations, transformers, breakers and protection equipment.
- Transmission, distribution or substation upgrades that the project must fund or wait for.
- Study milestones, queue position, approvals, equipment lead times and construction dependencies.
- The date usable load can be delivered, not merely the date an application can be filed.
- Whether the commitment is conditional on other customers, generation, transmission work or regulatory approval.
- Tariff structure, demand charges, standby arrangements, curtailment terms, renewable options and exposure to price volatility.
Separate an indicative capacity number from a signed service agreement. Obtain the assumptions behind any “available” figure, including seasonal limits, contingency criteria and whether the number represents gross connection capacity or firm deliverable load.
Plan the electrical architecture
Map the complete chain from utility source to IT rack: incoming circuits, substations, medium-voltage distribution, transformers, backup generation, energy storage, switchgear and uninterruptible power systems. Confirm that the parcel has room for this equipment and for safe access, setbacks and future phases. Compare physically independent utility paths rather than counting two circuits that share the same substation or right-of-way.
Model construction sequencing. Long-lead transformers, switchgear and generators can become the critical path even after the utility approves the connection. Require a milestone schedule with named owners and a recovery plan for delayed equipment. If the project depends on on-site generation or a private energy project, verify fuel supply, emissions permits, interconnection rules, operating limits and maintenance arrangements instead of treating generation as an automatic substitute for grid capacity.
How much power does an AI data center need?
There is no universal answer. Required load depends on the number and type of accelerators or processors, rack density, storage, networking, cooling overhead, redundancy and growth. Estimate phase-by-phase IT load and facility load from your equipment design, then ask the utility to validate the resulting electrical profile. Avoid choosing a location from a generic “AI megawatt” assumption.
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Match network design to the workload
Network suitability is more than the presence of a nearby fiber route. Compare latency, jitter, route diversity, carrier choice, available capacity, cloud connectivity and the time and cost of extending fiber.
Measure the connections that matter
For an inference or interactive service, measure round-trip latency and variability from the proposed site to the actual user concentrations and application dependencies. For training, examine data-ingest paths, storage locations, checkpoint transfer and connections between campuses. For cloud services, assess proximity and connectivity to the cloud regions and exchange points your architecture uses. Define targets for normal operation and failure conditions, not just an average ping.
Verify physical diversity
Request route maps showing where each carrier enters the site and where paths share ducts, bridges, roads, rail crossings or upstream facilities. Two contracts are not two independent routes if both rely on one conduit or meet at one exchange. Identify maintenance windows, repair commitments, cross-connect procedures and escalation contacts.
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Evaluate land, title and expansion before selecting a parcel
Confirm that the advertised acreage is usable for the data center, substations, cooling plant, water infrastructure, stormwater controls, access roads, security setbacks and future buildings. Review title, easements, mineral or environmental restrictions, floodplain boundaries, geotechnical conditions, grading requirements and rights to connect utilities.
Design the campus in phases
Draw the first building and the ultimate campus on the same plan. Reserve corridors for future electrical feeders, substations, generators, cooling equipment, fiber entrances and construction traffic. Check whether expansion would require crossing a property boundary, relocating a road or obtaining a new environmental approval. A site that fits phase one but blocks phase two is not scalable.
Check construction practicality
Assess road weight limits, bridge clearances, laydown areas, crane access, rail or port options for large equipment and the availability of qualified contractors. Confirm whether local labor can support simultaneous civil, electrical, mechanical and controls work. Labor shortages and equipment logistics can extend a schedule even when land and power are available.
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Treat cooling, water and climate as one decision
Cooling design affects electrical demand, water consumption, plant size, operating cost and resilience. Compare the proposed cooling approach with the local temperature and humidity profile, water source, discharge rules, water stress and energy price. A cooler climate may benefit some designs, but climate alone does not establish lower total cost or suitability.
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Define the thermal envelope
Use the allowable and recommended environmental envelopes for the actual IT equipment and the selected cooling architecture. ASHRAE’s TC 9.9 Thermal Guidelines for Data Processing Environments is a technical reference for those envelopes and for climate and cooling planning. Verify the edition and applicability to your equipment rather than assuming a general temperature number.
Model peak and sustained conditions, including hot days, high humidity, smoke events and loss of a cooling component. Compare mechanical cooling, evaporative or other approaches on energy use, water demand, maintenance, treatment, plume or noise impacts and performance during extreme weather. Include cooling redundancy in the same analysis as electrical redundancy.
Verify water legally and physically
Document the source, permitted withdrawal, seasonal reliability, treatment requirements, discharge route and reuse opportunities. Ask the water authority whether industrial demand is subject to allocation limits, drought restrictions or future curtailment. Include make-up water, blowdown, treatment losses and domestic or fire-protection demand in the estimate.
The Michigan Municipal League guidebook says some of the most water-intensive hyperscale data centers can require up to five million gallons per day. That is an upper example, not a typical facility benchmark; actual use depends on cooling design, climate, load and operating conditions. Do not transfer that figure to every project.
Screen hazards and resilience at the site level
Evaluate flood, extreme heat, storms, wildfire, seismic exposure and other local hazards using parcel-specific information. Regional averages can miss a drainage channel, fire corridor, unstable soil or a single access road that becomes unusable during an emergency.
Connect hazards to engineering requirements
- Set finished-floor elevations, drainage and equipment locations from the site’s flood and stormwater analysis.
- Test cooling capacity and electrical equipment ratings against projected extreme heat.
- Review wildfire exposure, smoke filtration, vegetation management, evacuation routes and fuel-delivery continuity where relevant.
- Use seismic and geotechnical findings to size foundations, anchorage and utility connections.
- Design diverse power, network and cooling paths so one hazard does not disable all supposedly redundant systems.
Ask emergency services and utility operators about restoration priorities, road access, water availability and communications during a regional event. Include recovery time, spare-parts access and the ability to operate at reduced capacity in the resilience case.
Confirm zoning, permits and community acceptance
A technically attractive parcel can fail because its approval path is uncertain. Map every approval: zoning or conditional use, environmental review, building and electrical permits, water withdrawal and discharge, air emissions for backup generation, noise, stormwater, road access and utility construction. Record the sequence, decision authority, statutory review periods and appeal risks.
Engage before the application is final
Meet local authorities, utility representatives, emergency services, water officials and nearby communities early. Explain expected power and water demand, construction duration, traffic, noise, backup generation, jobs and tax effects. Ask what information residents need and what operating conditions are likely to be required. Community concerns about energy, water and noise can change the schedule or design even when zoning appears favorable.
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Document commitments in a responsibility matrix. Distinguish what the developer controls from approvals, road works, utility upgrades or third-party actions. Add contingency time for public meetings, environmental studies and permit revisions rather than using only the nominal review period.
Compare whole-life economics, not just land price
Build a common financial model for every candidate over the same evaluation period. Include:
- Land purchase or lease, title work, site preparation and geotechnical mitigation.
- Interconnection studies, utility contributions, substations, transmission or distribution upgrades and on-site generation.
- Energy charges, demand charges, standby costs, taxes, renewable procurement and price-volatility scenarios.
- Buildings, cooling, water treatment, discharge, backup systems, network construction and ongoing maintenance.
- Labor, security, insurance, compliance, taxes and decommissioning or restoration obligations.
- Expansion costs and the value of preserving future capacity.
Model downside cases: delayed energization, higher power prices, water restrictions, a required network build, equipment replacement and a slower deployment ramp. Compare nominal cost and risk-adjusted cost. A lower tariff does not compensate for a year of idle construction if the utility cannot deliver on schedule.
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List tax abatements, grants, infrastructure contributions and other incentives separately from base economics. Confirm eligibility, application deadlines, performance requirements, clawbacks, residency or employment conditions, sunset dates and the authority that can change them. Do not count an incentive until its legal terms are documented and the project can satisfy them.
Use a transparent comparison scorecard
After pass/fail gates are cleared, score the remaining sites against workload-specific criteria. Keep hard constraints separate from preferences, show the evidence date and identify assumptions. The following structure covers the principal decision areas without imposing universal weights:
| Category | Evidence to compare | Questions for the decision team |
|---|---|---|
| Workload fit | Training, inference, cloud, HPC or mixed use; rack density; data locality; growth phases | Does the site support the workload’s latency, data-transfer and thermal profile? |
| Power delivery | Firm capacity, voltage, connection design, upgrade scope, schedule, redundancy and tariff | Is usable load contractually achievable by the required date? |
| Network | Latency, jitter, carriers, route diversity, fiber capacity and extension cost | Can the design survive a route or carrier failure? |
| Land and expansion | Title, usable acreage, zoning, geotechnical conditions, easements and campus phasing | Can future buildings and plant be added without relocating critical infrastructure? |
| Cooling and resources | Cooling concept, ambient conditions, water rights, stress, energy use and discharge | Will the design remain legal and operable during hot or dry conditions? |
| Resilience | Flood, heat, storms, wildfire, seismic exposure and redundancy | What single event could disable power, cooling, network or access? |
| Delivery risk | Permits, labor, equipment lead times, construction access and third-party dependencies | Which milestones are outside the developer’s control? |
| Economics and policy | Total cost, taxes, incentives, regulation, volatility and downside cases | Does the site remain viable if assumptions deteriorate? |
Choose weights only after the workload and geography are known. Record the reason for every weight, the source and date of every material input, and the score range if an assumption is uncertain. Have an independent team challenge the highest-impact assumptions.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Geographic context to use carefully
Europe
CBRE’s European data-center site-selection guide, published February 19, 2026, identifies power availability and long-term scalability as primary concerns as grid congestion and extended connection lead times constrain new capacity. The guide forecasts European data-center vacancy across primary and secondary markets at 6.5% by the end of 2026 and says more than 750 MW of new capacity is expected to be delivered in Europe in 2026. Both figures are CBRE forecasts or expectations, not observed end-of-year results and not proof that any particular city or site can serve a project.
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Use those observations to test utility queues, available buildings and expansion options in the specific country and market. Confirm national grid rules, connection charges, permitting, data-residency requirements and local power prices before making a decision.
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United States
On July 24, 2025, the U.S. Department of Energy named Idaho National Laboratory, Oak Ridge Reservation, Paducah Gaseous Diffusion Plant and Savannah River Site for further planning toward private-sector AI data-center and energy-generation projects. This is evidence of a federal land initiative, not a ranking of those locations or proof that a site is available, permitted or suitable. Check the relevant solicitation and current project status before relying on it.
Executive Order 14318, dated July 23, 2025, defines a data-center project for purposes of that order as a facility requiring greater than 100 MW of new load for specified AI workloads and describes permitting and possible support mechanisms. Its applicability and implementation must be verified with the relevant agencies and counsel. It is not a general siting threshold for every AI facility.
Municipal examples
The Michigan Municipal League guidebook is useful for understanding municipal concerns about fiber, water and community impacts, but its examples should not be treated as global benchmarks. Apply local hydrology, utility tariffs, climate data and permitting rules to every candidate.
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- Freeze the requirements brief. State workload, phase loads, energization date, latency, resilience, cooling, water and expansion assumptions.
- Build a long list. Eliminate parcels without legal control, adequate acreage, plausible zoning or a credible utility service area.
- Request utility evidence. Obtain capacity, interconnection, upgrade, equipment and schedule documents; reject unsupported availability claims.
- Validate network paths. Secure carrier route maps, measured performance, diversity analysis and fiber-extension estimates.
- Run site and resource studies. Complete title, geotechnical, flood, wildfire, seismic, water, climate and environmental reviews.
- Develop a phased campus plan. Reserve space and corridors for substations, cooling, fiber, access and future buildings.
- Map approvals and stakeholders. Create a permit sequence, consultation plan, responsibility matrix and schedule contingency.
- Model lifecycle economics. Include base, downside and delay cases; document incentives and their conditions separately.
- Apply gates, then score. Remove failures before weighting preferences, and publish assumptions with the scorecard.
- Secure commitments. Before acquisition or final design, obtain binding utility, land, network, water and permitting commitments appropriate to the project stage.
Common selection mistakes and their fixes
- Choosing a parcel beside a transmission line: require a utility-backed interconnection path and delivery date.
- Using one latency number: measure every critical user, cloud, storage and exchange dependency, including failure routes.
- Assuming cool weather solves cooling: compare the complete cooling, water, energy and resilience design.
- Counting gross acreage: subtract setbacks, flood areas, easements, plant space, roads and expansion reserves.
- Treating two carriers as diverse: verify physically separate entrances, ducts, upstream facilities and repair paths.
- Using incentives to make the model work: model the project without them and add only documented, conditional benefits.
- Ignoring community acceptance: disclose demand, noise, traffic, water and backup-generation impacts early.
- Scoring before eliminating failures: keep power, schedule, latency, site control and cooling as explicit gates.
- Assuming a federal or market announcement equals availability: verify current site status, solicitation terms and project-specific eligibility.
Decision rules for different workloads
Large training campus
Prioritize deliverable power, expansion land, high-capacity inter-campus networking, cooling feasibility and construction logistics. Latency to individual users may be less restrictive than data-ingest, storage and checkpoint-transfer performance, but route diversity remains important.
Interactive inference service
Put measured user latency, jitter, carrier diversity and proximity to relevant cloud or exchange ecosystems near the top of the scorecard. A remote site with abundant land is not attractive if the service cannot meet its response objective.
General cloud or mixed facility
Balance latency, regional redundancy, utility schedule, phased expansion and operational labor. Preserve flexibility in the campus plan so future workloads can use different rack densities and cooling modes.
These are decision patterns, not fixed rankings. The gates and evidence should determine the result for the actual architecture.
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