Crusoe contracts 4.9 GW of AI infrastructure across 5 campuses

Crusoe's 4.9 GW under contract makes it one of the largest private AI data center developers in the US, with a pipeline that could power more than 30 million homes.

Crusoe, the AI factory company, said June 9 that it has contracted 4.9 gigawatts of AI infrastructure spanning data center projects and capacity for Crusoe Cloud, its AI cloud platform. The company's total development pipeline — including contracted projects, sites under active tenant negotiation, and sites in advanced development — exceeds 40 GW.

"The demand from the world's leading technology companies for AI infrastructure — quickly and at scale — has never been greater, and Crusoe is uniquely positioned to meet it," Chase Lochmiller, co-founder and chief executive officer of Crusoe, said. "We work shoulder to shoulder with our customers to move from vision to operational infrastructure at the speed AI demands."

Crusoe's contracted portfolio spans five AI data center campuses across the US. At its flagship 1.2 GW Abilene, Texas campus — purpose-built for Oracle Corp. — the first two buildings are operational and six additional buildings are under construction. The company recently broke ground on a second 900 MW campus in Abilene for Microsoft Corp. Two more large-scale campuses are under contract in Texas and a fifth in Missouri, each in various stages of site work and construction.

Vertical Integration as a Competitive Moat

Unlike traditional data center developers that treat power and construction as sequential processes, Crusoe co-develops them from the start. The company manufactures long-lead electrical components at its own facilities in Colorado, Oklahoma, and Louisiana, shipping prefabricated equipment ready for installation. This approach compresses timelines and reduces risk — a key reason hyperscalers have chosen Crusoe over competitors such as Equinix Inc. and Digital Realty Trust Inc.

The integration extends to Crusoe Cloud, the company's AI platform built for training, inference, and high-performance computing. By designing, building, and operating its own infrastructure, Crusoe claims timing, performance, and economic advantages that benefit customers ranging from AI startups to enterprise clients.

A 40 GW Pipeline Against a 156 GW Market

Crusoe is building toward a market opportunity that McKinsey & Co. projects will require 156 GW of AI-related data center capacity by 2030 — roughly 15 times the current capacity of Northern Virginia, the world's largest data center market. The company's power strategy spans natural gas, renewables, batteries, grid interconnection, and partnerships with energy infrastructure companies, enabling development at scales previously considered out of reach.

The announcement comes as hyperscalers including Amazon Web Services Inc., Google LLC, and Microsoft compete for limited data center capacity to support large language model training and inference workloads. Nvidia Corp., whose GPUs power most AI training, has seen its data center revenue surge to $47.5 billion in its most recent fiscal year as demand for AI compute outstrips supply.

For investors, Crusoe's growth signals that the AI infrastructure buildout remains in its early innings. While publicly traded data center REITs like Equinix and Digital Realty trade at 25x to 30x forward funds from operations, private developers like Crusoe are capturing a growing share of hyperscaler demand through vertically integrated models that promise faster delivery. The question is whether Crusoe's manufacturing-heavy approach can scale to 40 GW without the cost overruns that have plagued large-scale construction projects across the industry.

This article is for informational purposes only and does not constitute investment advice.