Crusoe and Partners Advance $15 Billion AI Data Center in Texas
Crusoe, Blue Owl Capital, and Primary Digital Infrastructure have entered the second phase of their $15 billion joint venture to fund a 1.2 gigawatt AI data center in Abilene, Texas, announced in a press release. The project, which began its first phase in June 2024, is set to expand from two to eight buildings, with the second phase expected to be energized by mid-2026.
The construction involves approximately 3,000 workers daily, with numbers expected to rise to nearly 5,000 during the second phase. The data center will feature advanced technology, including direct-to-chip liquid cooling systems and a network fabric capable of operating up to 50,000 NVIDIA GB200 NVL72s per building. The site was chosen for its access to low-cost wind energy, aligning with Crusoe's climate-focused mission.
The Development Corporation of Abilene estimates the economic impact of the first two buildings at approximately $1 billion over 20 years, with the second phase poised to significantly increase this impact. The collaboration underscores the partners' commitment to advancing AI infrastructure in the United States.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.
Also, consider following us on social media:
More from Data Centers
Oct 16 Hitachi Energy and Ansaldo Energia Partner on Data Center Power Systems Oct 16 Clivet Unveils Magnetic Bearing Compressor for AI Data Center Cooling Oct 15 Rising rates strain AI data center fundraising Oct 15 Ukrainian Drones Hit Sberbank Data Center Planned for Supercomputer Oct 15 Brightray Signs Letter of Intent for 10 MW Indiana AI Data CenterSilicon Brief
Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Zone Frontier Leases 4,077 Acres for Texas AI Data Center
Brightray Signs Letter of Intent for 10 MW Indiana AI Data Center
Schneider Electric Says AI Can Cut Building Energy Use by Up to 22%
Huawei Unveils Grid Interactive AI Data Center Solution
Data Center Infrastructure Market Reaches $14 Billion as AI Demand Grows
Daily AI Brief: the AI news that matters, in your inbox.