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PACE Advances West Texas AI Infrastructure Campus with 100 MW Phase I and Scalable Path to 1 GW

Land, water, and behind-the-meter natural gas framework are in place, positioning the project for rapid deployment in one of the country's most strategic energy corridors.

West Texas | PACE AI Infrastructure

PACE today announced continued advancement of The Lone Star Project, its West Texas AI infrastructure campus, with Phase I planned at 100 MW and a scalable path to 1 GW. The project is being developed around a behind-the-meter energy strategy designed to support large-scale compute demand with speed, flexibility, and long-term expansion capacity.

The campus benefits from secured land, water solutions, and term-sheeted natural gas arrangements with development partners, creating a strong foundation for phased deployment. The site also sits on redundant fiber lines, strengthening its appeal for hyperscale, AI, and high-performance computing users seeking resilient, energy-forward locations.

"Compute demand is moving faster than traditional infrastructure delivery timelines," said Preston Stein, Co-Founder of PACE. "We are building around that reality from day one, with a site and strategy designed to move at the pace the market now requires."

Chance Pressley, Co-Founder of PACE, added: "This is not a speculative vision without substance underneath it. We have assembled the key ingredients that matter most, including site control, water, and substantial behind-the-meter gas positioning, and we are building with scale in mind from the outset."

PACE expects Phase I to serve as the foundation for broader campus expansion as market demand and infrastructure timelines permit, including future grid interconnectivity as ERCOT timelines allow.

About PACE

PACE is an AI infrastructure development company focused on building next-generation compute campuses in strategic energy-rich markets. The company's development strategy centers on speed to power, scalable site design, and infrastructure solutions tailored to the needs of hyperscale and AI-driven demand.