One big thing: Utah is positioning to become the epicenter of AI computing with a first-of-its-kind data center that could determine whether the U.S. or China leads the AI revolution.

Why it matters: The project will be located in rural Utah, specifically Delta, in Millard County. Dubbed the “GigaSite,” the campus isn’t just another tech campus — it represents a complete reimagining of data center infrastructure specifically designed for AI’s unique demands.

The big picture: Traditional data centers focus on steady workloads and uptime. AI computing requires:

• Massive power concentration in a single location (beyond the typical 100MW limit)
• Ability to handle volatile, spiky workloads during training phases
• Computers connected as “one brain” to accelerate learning
• Significantly higher power density than conventional facilities

Between the lines: Creekstone Energy CEO Ray Conley frames this as more than a business opportunity — it’s about national competitiveness.

“If we’re successful, Utah will be the place where the most successful AI company in the world will exist. And if we fail, it’s probably going to be in China,” Conley explains.

By the numbers: While specific capacity figures weren’t disclosed, the project is described as housing “more power than anywhere in the world” in a single campus.

Local economic impact: The project will preserve and expand jobs in Delta, where the Intermountain Power Plant (IPP) is currently the largest employer.

“If that plant goes away, there’s gonna be a lot of people lose their jobs,” says Conley. “This is a way and the only way to maintain those jobs, but actually grow the base of jobs in the area. So Delta itself will benefit immensely.”

The Intermountain Power Plant was scheduled to be decommissioned (the official date was just before this interview), but instead of dismantling it, Creekstone Energy saw an opportunity to repurpose it to power data centers, preserving this valuable asset and the associated jobs.

The bottom line: This represents a significant engineering challenge requiring new approaches to power management, backup systems, and infrastructure design — but could establish Utah as the command center for next-generation AI development.

The project is currently moving through environmental impact assessments while Creekstone engages with leading AI companies interested in utilizing the facility.

For the complete conversation with Ray Conley about how this project differs from traditional data centers and why AI computing requires this revolutionary approach, watch the full interview above.