Microsoft has agreed to lease a substantial data center project in Abilene, Texas, a facility that had been under development for Oracle and OpenAI, company and industry sources said.
The Abilene site represents roughly 700 megawatts of capacity and is located adjacent to the Stargate campus associated with Oracle and OpenAI. The deal was reached with developer Crusoe after both Oracle and OpenAI stepped away from talks to take up the location, according to those familiar with the situation.
The developer and the technology companies did not immediately provide comments in response to requests for comment on the arrangement.
Earlier reporting indicated Oracle and OpenAI had abandoned plans to expand an AI-focused data center in Texas after financing negotiations prolonged and OpenAI's needs evolved. Oracle subsequently stated that suggestions the planned capacity at the Abilene site was delayed were inaccurate.
The Abilene project has been notable because of its scale and proximity to existing infrastructure tied to major AI initiatives. Companies across the technology sector are investing substantial sums in data centers to power generative AI services such as ChatGPT and Copilot, which require very large amounts of computing power.
The sequence of developments at the Abilene location illustrates continuing fluidity in decisions around where and how major AI players locate new computing capacity. After Oracle and OpenAI discontinued their negotiations to occupy the site, Microsoft finalized an agreement with Crusoe to take the project on a rental basis.
Context and implications
- The Abilene site is large in scale at roughly 700 megawatts and sits next to the Stargate campus associated with Oracle and OpenAI.
- Microsoft's arrangement is with developer Crusoe, following Oracle and OpenAI walking away from talks to occupy the site.
- Oracle disputed earlier claims that the project's planned capacity is delayed.
These developments come amid a broader industry trend in which major technology firms are committing billions toward data center capacity to support advanced AI products that demand expansive compute infrastructure.
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