Crusoe is expanding its West Texas computing footprint with plans for two massive data centers in Jayton, representing a combined investment of $4.8 billion. Regulatory filings reveal that each facility will cover 759,260 square feet, creating nearly 1.52 million square feet of new computing space in Kent County. Construction on the Jayton site is tentatively slated to begin in January 2027, with the first building expected to come online in May 2029 and the second following in July.
The newly proposed Jayton structures are classified as spur buildings connected to Project Hyper, an expansive Crusoe development currently underway in Childress. Project Hyper consists of three facilities measuring approximately 806,360 square feet each, carrying an estimated investment of roughly $2.4 billion per building. Two of those Childress structures are already under construction, while work on the final building is scheduled to kick off this month. Altogether, the combined figures for Project Hyper and the Jayton development push planned regional investments to approximately $12 billion.
Situated geographically between Childress and Abilene, Jayton sits directly inside a rapidly growing West Texas data center corridor. The recent filings do not clarify whether the Jayton buildings will tap into power infrastructure tied to Project Hyper, nor do they specify if Crusoe plans to operate the facilities independently or secure tenants prior to completion. However, Crusoe already boasts major industry heavyweights across its broader Texas portfolio, including sites tied to OpenAI, Microsoft, Google, and Meta.
The sprawling expansion highlights a strategy centered on distributing heavy computing sites across multiple West Texas locations rather than consolidating infrastructure onto a single campus. Alongside power setups involving onsite solar generation, energy storage resources, and recirculating cooling systems designed to minimize water usage at partner sites like Childress, these massive investments underscore the accelerating physical footprint of AI infrastructure across the American Southwest.
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