Market Demand Foundation
Texas AI compute surge, capacity shortage, and addressable market TAM.
Vacancy Rate
2.3%
AI CAGR
25%+
AI Compute Demand Growth
San Antonio vs Industry Average (MW)
Rack Density Requirements
Power per Rack (kW) - AI workloads demand 4-6x higher rack density than legacy infrastructure
Texas AI Compute Surge
The projected AI Compound Annual Growth Rate (CAGR) is 25%+ Year-over-Year, driving unprecedented demand.
Vacancy Rates
San Antonio's vacancy rate is 2.3% (critically low), compared to the general Texas market vacancy rate of < 4%. Under-construction capacity in the corridor is seeing pre-lease rates as high as 97%.
Power Queue Pressure
The ERCOT Large Load Queue currently totals 152 GW+ (2030 Forecast). This represents a massive pipeline of future demand that far exceeds available infrastructure.
Density Shift
Demand drivers include AI Training (massive synchronous clusters) requiring 50kW to 100kW per rack and AI Inference (production layer) requiring 20–40kW/rack. Maximum efficient density with standard air cooling is only 15-20 kW/rack, creating a technology gap.
Rental Rates (Base Rent)
Traditional Colocation NNN Lease Rates (Base Rent): $85-$95/kW/mo. AI Hyperscale Market Standard (Base Rent): $125-$250/kW/mo. Target lease rate for AI-Ready capacity is $212/kW/mo, sitting comfortably in the AI/HPC Turnkey band. Note: NNN (Triple Net) costs for power, cooling, and operations are pass-through expenses billed separately, typically adding $40-$60/kW/mo.