Nscale Monarch Compute Campus Data Center 2GW West Virginia

Status: Under Construction / Permitting & Site Infrastructure Phase   |   Location: Ohio River Road (WV-62), Mason County, Point Pleasant, West Virginia 25550, USA

Project Overview

The Nscale Monarch Compute Campus is a proposed gigawatt-scale artificial intelligence infrastructure development spanning more than 2,250 acres along Ohio River Road (WV-62) in Mason County, near Point Pleasant, West Virginia, United States. Valued at more than $20 billion, the project was acquired by British AI infrastructure company Nscale Ltd. from Fidelis and is designed to support large-scale AI computing, frontier-model training, and high-density inference workloads. Its scale and focus on advanced computing position Monarch as an ambitious development in the growing market for infrastructure dedicated to artificial intelligence. The campus is planned around a grid-independent AI microgrid concept, which is intended to provide an integrated approach to meeting the substantial energy requirements of large computing operations.

AI workloads require significant computing power to train advanced models, process large datasets, and deliver inference services at scale. These demands place increasing pressure on data center power infrastructure, making energy availability and reliability central considerations in campus planning. Monarch’s proposed gigawatt-scale design reflects the growing need to coordinate computing capacity with dedicated energy systems. The project is described as America’s first state-certified, grid-independent AI microgrid campus, although the specific generation technologies, storage systems, operational configuration, and certification details have not been provided here. Its ultimate usable IT capacity will also depend on how the planned power infrastructure is allocated to computing equipment and supporting systems.

The campus’s location in Mason County provides a large development footprint for a project of this scale. Its more than 2,250 acres offer space for multiple facilities and associated infrastructure, while the reported investment of over $20 billion highlights the scale of the proposed undertaking. As AI model development and deployment expand, projects such as Monarch reflect the growing convergence of digital infrastructure and energy planning. However, construction phases, delivery timelines, and final technical specifications remain important factors in determining the campus’s eventual capabilities. If implemented as envisioned, the Nscale Monarch Compute Campus would represent a major addition to the United States’ AI infrastructure landscape, designed to support demanding model training and inference workloads at gigawatt scale.

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