Prime Highlights
- Meta has secured new agreements with Crusoe to expand the computing power supporting its artificial intelligence operations.
- The deal strengthens Meta’s AI infrastructure as competition for computing capacity intensifies across the technology sector.
Key Facts
- Meta will receive approximately 6 gigawatts of computing capacity from Crusoe’s data centers in Texas and Missouri.
- The company has pledged to invest $600 billion in U.S. infrastructure and jobs over the next three years to support its AI ambitions.
Background
Meta Platforms has secured new agreements with data center developer Crusoe to obtain additional computing power for its artificial intelligence operations, Bloomberg News reported, citing people familiar with the matter.
The social media giant has entered contracts to purchase computing capacity from Crusoe at two data center sites, located in Childress, Texas, and Warrenton, Missouri, according to the report.
Meta will receive approximately 1.6 gigawatts of combined capacity from the two facilities. A single gigawatt can power roughly 750,000 homes in the United States.The report did not specify how much Meta plans to spend on the deal or when the computing capacity will be delivered.
Meta and Crusoe have not responded to requests for comment, and Reuters has not independently verified the report.The agreement reflects the broader race among major technology companies to expand their AI infrastructure as demand for computing power continues to exceed available supply.
Meta and its peers have committed billions of dollars toward building data centers and securing energy resources to support increasingly complex AI systems.Meta has pledged to invest 600 billion dollars in infrastructure and jobs across the United States over the next three years.
The investment backs Zuckerberg’s plans to build advanced AI agent technologies and grow the company’s computing presence across the country.
The Crusoe deal extends Meta’s list of infrastructure partnerships as the company works to match rivals also expanding their AI capabilities. Industry observers say steady access to computing capacity has turned into a major obstacle for firms pursuing large scale AI projects.
