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Ohio River Rd
Planned
Future facility in planning stage
Operated by:

Nscale: Monarch Compute Campus

Short Code: Building 1
Year Planned: 2028
Ownership: Nscale owns the building.
Lot Size: 2,250 acres

Sites leasing space from Nscale:

The Monarch Compute Campus is a massive, 2,250-acre AI mega-project in Mason County, West Virginia, designed to scale to an unprecedented gigawatts (GW) of power capacity. Developed by AI hyperscaler Nscale following its March 2026 acquisition of AIPCorp, the site operates as the nation's first state-certified, "behind-the-meter" AI microgrid, utilizing a dedicated pipeline of Marcellus Shale natural gas to power hundreds of localized Caterpillar internal combustion engines.

This entirely self-contained, off-grid architecture bypasses regional grid constraints while completely protecting local ratepayers from rising utility costs.

Map and Nearby Locations:

Ohio River Rd
Nscale Sites
Nearby Facilities

Nscale: Monarch Compute Campus Power Growth Over Time

Operational
Construction
Planned
Prospective
In Doubt
Withdrawn
Currently Operational
across NN Request Dataset sites
Under Construction
NN Request Dataset sites currently building
Planned / Prospective
NN Request Dataset sites announced, but haven't started construction

Sites within 15 miles of Neocloud Data Center

Distance Site About
0.08 miles Hyperscale Data Center Request Dataset
The collaboration between Nscale and Microsoft functions as a landlord-tenant agreement that anchors the first phase of the Monarch Compute Campus.
0.53 miles Neocloud Data Center Request Dataset
This facility is part of the Monarch Compute Campus in Point Pleasant, West Virginia.
0.72 miles Nscale: Monarch Compute Bldg2
This facility is part of the Monarch Compute Campus in Point Pleasant, West Virginia.
1.91 miles Neocloud Data Center Request Dataset

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Rendering of Monarch Compute Campus in Western Virginia
Source: Baxtel

Operating Company

Operated by:

Nscale is a European-based hyperscaler built specifically for AI. It delivers exceptional performance for demanding workloads like training and fine-tuning, through a vertically integrated infrastructure spanning its data centers and software stack.

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