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DataCentersExposed
County data-center profile

Pittsylvania County, Virginia

DataCentersExposed tracks 3 AI data centers in Pittsylvania County, Virginia — 0 operating and 2 in the pipeline, drawing 3.8 GW of reported power demand, led by Stack Infrastructure, Inc..

Sources: Methodology, Coverage scorecard

Facilities
3
Operating
0
Pipeline
2

Reporting by · Updated May 29, 2026

Overview

What's happening in Pittsylvania County

Facilities here with disclosed capacity draw 3.8 GW from the local grid. Data-center load on this scale is the single biggest driver of recent capacity-market price increases — costs that flow through to every ratepayer in the service territory, not just the operators.

Stack Infrastructure, Inc. has the largest presence in Pittsylvania County. We resolve project codenames and shell LLCs back to the corporate parent wherever the public record allows, so the table below names who is actually behind each site.

Below: every tracked facility in the county, the active state legislation that names it or its county, and local news. Commissioner vote records arrive in a later release; the placeholders show where that accountability data will land.

Modeled scenario · not announced

2035 Buildout Outlook

via PNNL IM3 (CC BY 4.0)

Under the model's moderate-growth scenario (5%/yr annual load growth), PNNL's IM3 model sites about 7 standardized 36 MW campuses in Pittsylvania County by 2035 — roughly 252 MW of new electricity demand and ~244 M gal/yr of cooling water. For scale, we currently track 3 real data centers in Pittsylvania County (3.8 GW of reported power).

Modeled new campuses by demand-growth scenario
  • Higher growth7
    252 MW · ~244 M gal/yr cooling water

The model assigns ~100% of these campuses' cooling to evaporative water cooling in Pittsylvania County (the rest to mechanical/air cooling), a split it derives from local water stress and wet-bulb temperature.

These are modeled candidate sites, not announced or permitted facilities. PNNL's IM3 model places identical 36 MW unit-campuses at feasible locations under each scenario — it shows where demand could concentrate, never a specific parcel. Figures use a market-gravity weight of 50. How the model works.

3 facilities

Every tracked facility

FacilityOperatorStatusMW
Stack Data Center
Danville
Stack Infrastructure, Inc.Proposed299
Unnamed Data Center
Gretna
BOLES, BRENDA ET ALS EAST, SHARON ET ALS BOLES, DOUGLAS ET ALS KELLEY, OTEY HARRIS III ET ALS KELLEY, CHARLES ET ALSProposed
Pittsylvania County Data Center
Chatham
Balico LLCWithdrawn3,500
Accountability

County commissioners

How the Pittsylvania County board votes on each data-center matter — the rezonings, the abatements, the water permits — is built from public-meeting minutes and roll-call records. Know of a vote we should be tracking? Tell us.

Methodology & sources

The risk score weights project exposure (40%), power demand (30%), water draw (15%), and land footprint (15%). Water and land are not yet measured for our facilities, so those arcs render as "not yet measured" and the weights are renormalized over the factors we can source today — when the data lands, the score updates.

Every row carries a confidence level (high / medium / low) and a source URL. Spot an error? Tell us.