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Utah’s $2 Billion AI Data Center: A Major Bet on AI Infrastructure

by Harold Fritts

Utah’s $2B AI data center is fully leased before opening, proving the state’s role in AI infrastructure expansion.

The demand for AI-ready data centers is growing at an unprecedented pace. As large-scale artificial intelligence workloads push current infrastructure to its limits, data center operators are racing to deploy high-density, high-efficiency facilities capable of handling the heat—literally. The latest entry into this expanding market is a massive $2 billion AI data center in West Jordan, Utah, backed by major financial players, including J.P. Morgan and Starwood Property Trust.

The project, led by CIM Group and Novva Data Centers, is set to deliver 175MW of compute power—enough to supply roughly 175,000 homes. More notably, the facility is fully leased before construction is completed, signaling the urgent demand for AI processing capacity.

The Utah AI Data Center: Specs and Investment Details

According to the official press release, the 100-acre facility will incorporate direct-to-chip liquid cooling, an increasingly necessary technology as AI workloads generate exponentially higher thermal loads than traditional enterprise applications. The power infrastructure to support dense AI compute clusters will be key in sustaining large-scale machine learning training operations.

Utah AI Data Center

Novva Utah Data Center

J.P. Morgan and Starwood Property Trust are financing the project, continuing a trend of private equity and financial institutions making direct investments in AI-driven infrastructure. With colocation space fully leased ahead of completion, this investment highlights the increasing financial confidence in AI-specific data center expansion.

Why Utah? A Prime Location for AI Compute

Utah has emerged as a strategic hub for AI data centers, thanks to its energy efficiency, low operational expenses, and accessibility. CIM Group and Novva selected Utah for several key reasons:

  • Power Availability: Utah provides cost-effective power solutions, including access to renewable energy sources.
  • Climate Efficiency: The naturally cooler climate helps lower cooling costs, making it ideal for high-performance AI workloads.
  • Strategic Location: The state’s central position makes it a strong distribution point for AI-driven applications across the U.S.

The press release notes that Utah’s business-friendly environment and growing reputation as a data center hub made it an optimal location for this investment.

Direct-to-Chip Cooling: The New AI Data Center Standard?

One of the Utah facility’s most critical features is its use of direct-to-chip liquid cooling. As AI deployments scale, traditional air cooling solutions struggle to keep up with the increasing thermal output of GPUs and accelerators. According to CIM Group, this technology allows AI servers to operate at peak efficiency while significantly reducing energy consumption.

Dell PowerEdge R760 with DLC plates

As hyperscalers continue to scale their AI infrastructure, Wall Street is taking notice. The investment from J.P. Morgan and Starwood Property Trust suggests a shift toward AI-specific colocation facilities, where cooling and power density are as critical as location.

The Bigger Picture: What This Means for AI Infrastructure

The Utah AI data center project is part of a broader shift in the industry. AI is redefining the way hyperscalers and colocation providers approach infrastructure, leading to key trends such as:

  • AI Compute Demand is Outpacing Supply: Hyperscalers lock in leases before facilities are completed.
  • Liquid Cooling is Becoming Standard: High-performance AI clusters require advanced cooling solutions to operate efficiently.
  • Financial Institutions are Investing in AI Infrastructure: The backing from J.P. Morgan and Starwood reinforces AI’s dominance in the next generation of data centers.

Final Thoughts

As AI workloads push infrastructure requirements to new extremes, Utah’s latest data center project represents a glimpse into the future of hyperscale compute. The fact that financial institutions are aggressively backing these projects reinforces the industry’s trajectory—AI isn’t just shaping the future of computing; it’s reshaping the entire data center landscape.

With Microsoft, Amazon, and Meta all ramping up their AI infrastructure investments, expect more high-density, liquid-cooled data centers to emerge across the U.S. and beyond.

For now, all eyes are on Utah.

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