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🏭 Platform & Infrastructure· 8 min read

Facility Planning

Site selection, power procurement, construction timelines, phased buildout, and sustainability considerations for AI data centers.

facility-planningsite-selectionconstructionpower-procurementsustainability

Building or leasing a facility for AI infrastructure is a multi-year, multi-million-dollar decision. The biggest constraint is usually power availability β€” not space, not cooling, not networking. Getting site selection wrong means 12-24 months of delay while you wait for utility upgrades.


1. Site Selection Criteria

FactorWeightKey questions
Power availabilityCriticalCan utility deliver MW-scale power? How fast?
Power costHigh/kWh(rangesfrom/kWh (ranges from 0.03 to $0.15+)
Fiber connectivityHighMultiple carriers, low-latency paths to users
ClimateMediumFree cooling hours, natural disaster risk
Water availabilityMediumFor cooling towers (if applicable)
Land cost & permittingMediumZoning, environmental review timelines
Carbon intensityGrowingGrid mix (hydro/nuclear vs fossil)
Talent poolMediumLocal ops and engineering staff
Tax incentivesMediumState/local data center tax breaks

Top Regions for AI Data Centers

RegionPower costCarbonClimateNotes
Northern Virginia$0.06-0.09MediumModerateLargest DC market, constrained power
Texas (ERCOT)$0.04-0.07Medium-highHotCheap power, renewable growth
Quebec$0.03-0.05Very low (hydro)ColdExcellent for free cooling
Iceland$0.03-0.05Very low (geothermal)ColdCheap power, remote location
Nordics (Sweden, Finland)$0.04-0.07LowColdGood power, EU data sovereignty
Singapore$0.10-0.15HighHot/humidAPAC hub, moratorium on new DCs

2. Power Procurement

The single biggest constraint and longest lead time:

Power procurement timeline:
  Month 0-3:   Site survey, utility discussions
  Month 3-6:   Power contract negotiation
  Month 6-12:  Utility infrastructure build (substation, feeders)
  Month 12-18: Facility construction (if new build)
  Month 18-24: Equipment install, commissioning
  
  New facility from scratch: 18-30 months
  Colo expansion (existing utility): 3-6 months
  Cloud: minutes (but at 5-10Γ— the cost)

Power Contract Types

TypeMechanismBest for
Utility directContract with local utilityNew facility, large scale
PPA (Power Purchase Agreement)Buy from specific generator (solar/wind)Renewable targets
Behind-the-meterOn-site generation (solar, fuel cells)Supplemental, backup
Wholesale marketBuy on spot marketFlexible, risk-tolerant

3. Phased Buildout

Don’t build for year-5 capacity on day 1. Phase the deployment:

Phase 1 (Month 0-6):    256 GPUs (1 SuperPOD)
  Power: 250 kW
  Cooling: 2 CDUs
  Network: 2 spine switches
  Staff: 2 SREs (part-time)

Phase 2 (Month 6-12):   1024 GPUs (4 SuperPODs)
  Power: 1 MW
  Cooling: 8 CDUs
  Network: 8 spine switches
  Staff: 3 SREs (full-time)

Phase 3 (Month 12-24):  4096 GPUs
  Power: 4 MW
  Cooling: dedicated CDU room
  Network: multi-tier fat-tree
  Staff: 8 SREs + 2 network engineers

Each phase:
  β”œβ”€β”€ Pre-order hardware 4-6 months before needed
  β”œβ”€β”€ Pre-provision power and cooling for NEXT phase
  └── Validate at current scale before expanding

4. Colo vs Build vs Cloud Decision

FactorCloudColocationOwn facility
Time to deployMinutes1-6 months12-30 months
Upfront cost$0$1-5M$10-100M+
$/GPU-hour (H100)$5-12$3-5$2-4 (amortized)
Flexibility to scaleInstantMonthsMonths-years
Flexibility to shrinkInstantContract termStuck
ControlLowMediumFull
Min practical scale1 GPU100 GPUs500+ GPUs
Decision tree:
β”œβ”€β”€ <100 GPUs β†’ Cloud
β”œβ”€β”€ 100-500 GPUs β†’ Cloud or Colo
β”œβ”€β”€ 500-5000 GPUs β†’ Colo (sweet spot)
β”œβ”€β”€ >5000 GPUs, >70% utilization β†’ Own facility
└── Uncertain scale β†’ Cloud (pay for flexibility)

5. Construction Checklist

site_selection:
  - Power capacity assessment (utility letter of commitment)
  - Fiber connectivity audit (at least 2 diverse paths)
  - Environmental assessment (flood risk, seismic)
  - Zoning verification (data center permitted use)
  - Tax incentive evaluation

design:
  - Power distribution design (N+1 or 2N UPS, generator sizing)
  - Cooling design (DLC from day 1 for AI)
  - Structured cabling plan (IB cable trays, fiber routing)
  - Physical security (fencing, access control, cameras)
  - Fire suppression (clean agent, not water, near servers)

construction:
  - General contractor with DC experience
  - Electrical contractor (medium voltage certified)
  - Mechanical contractor (DLC experienced)
  - Network cabling contractor (IB certified)
  - Commissioning agent (independent verification)

commissioning:
  - Power load testing (full rack power draw)
  - Cooling capacity testing (worst-case heat load)
  - Network burn-in (IB link stability under load)
  - UPS transfer testing (simulate utility failure)
  - Generator runtime testing (72-hour continuous)

6. Sustainability Planning

StrategyWhen to implementImpact
DLC from day 1Design phasePUE 1.1 vs 1.4
Renewable PPAPower procurement50-100% carbon offset
Heat reuseDesign phase (if viable)District heating, agriculture
Waste heat recoveryRetrofit possibleAdditional revenue stream
Free cooling optimizationSite selectionReduces mechanical cooling hours
Water-free cooling (DLC/immersion)Design phaseEliminates water consumption

Self-Check

  • Evaluate a data center site on power, connectivity, climate, and cost
  • Create a power procurement timeline from site survey to commissioning
  • Design a phased buildout plan from 256 to 4096 GPUs
  • Compare cloud vs colo vs own facility at different GPU scales
  • Build a construction checklist covering power, cooling, and network

References