Site Requirements for AI Data Centers: A Guide for Landowners
Not every plot or building is a fit for AI infrastructure — but far more sites qualify than most landowners realise. This guide walks through the criteria AI companies actually use when scouting locations for compute, so you can decide whether your land, rooftop, or spare capacity is worth listing.
Power: the number that matters most
AI training and inference workloads are power-dense. A single modern GPU rack can draw 40–120 kW, roughly ten times a traditional server rack. What operators look for:
- Access to at least 1–5 MW of firm grid capacity, ideally more.
- Substation proximity — a nearby high-voltage tie-in dramatically shortens the interconnect timeline.
- On-site or nearby renewable generation (solar, hydro, wind) as a hedge on cost and carbon.
- Redundant feeds where possible; utility upgrade paths documented.
Cooling and climate
Dense GPU clusters generate serious heat. Cool, dry climates reduce cooling load and favour free-air or evaporative systems. Access to water for liquid cooling — or space to install closed-loop equipment — is a strong signal. Sites at moderate elevation with low humidity often outperform coastal locations for total cost of ownership.
Connectivity
Training workloads tolerate higher latency; inference does not. Multiple fiber providers within a few kilometers, and access to long-haul routes or an internet exchange, widen the range of customers that can use the site. Note the closest dark-fiber routes and existing carrier hotels when listing.
Land, buildings, and zoning
- Flat, geotechnically stable land of at least a few acres for greenfield builds.
- Industrial or utility zoning, or a straightforward re-zoning path.
- Structural capacity for retrofits — floor loading of 12+ kN/m² for rack space.
- Low flood, wildfire, and seismic risk based on public hazard maps.
- Truck-accessible roads for equipment delivery and generator refuelling.
What Buddhi does with your listing
You submit a location, a few photos, a short walkthrough video, and a voice note. Buddhi verifies the site and publishes it to a directory that AI infrastructure teams browse to find real estate. Listings are free during early access.