Mark Zuckerberg wants you to know he has a big AI data center, too

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Zuckerberg expects to invest as much as $65 billion to further Meta’s AI ambitions, which includes a data center ‘so large it would cover a significant part of Manhattan.’

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Graphic collage of Mark Zuckerberg.

a:hover]:text-gray-63 [&>a:hover]:shadow-underline-black dark:[&>a:hover]:text-gray-bd dark:[&>a:hover]:shadow-underline-gray [&>a]:shadow-underline-gray-63 dark:[&>a]:text-gray-bd dark:[&>a]:shadow-underline-gray”>Image: Cath Virginia / The Verge; Getty Images

Meta CEO Mark Zuckerberg expects to spend as much as $65 billion on AI in 2025 as part of a “massive effort” to further the company’s AI ambitions. Part of the plan includes a Louisiana data center that Zuckerberg says “is so large it would cover a significant part of Manhattan,” he wrote on Threads today.

The announcement reads like a response to the big AI data center news touted by competitors earlier this week.On Tuesday, President Donald Trump joined OpenAI’s Sam Altman, Softbank’s Masayoshi Son, and Oracle’s Larry Ellison as they announced Project Stargate, a $500 billion joint venture that will build sprawling AI data centers in Texas and other parts of the country. City documents seen by Bloomberg suggest the Texas data center will be as big as New York’s Central Park.

Meta started building its $10 billion AI data center in Richland Parish, Louisiana last December, and its construction is expected to continue through 2030. The data center is one of many Meta started working on last year to power its open-source large language model Llama. Aside from Meta, tech giants including OpenAI, Google, Microsoft, and Nvidia are spending billions to scale up their data-hungry AI efforts.

Zuckerberg said he expects to end the year with over 1.3 million GPUs, while “significantly” growing the company’s AI team. “This will be a defining year for AI,” Zuckerberg wrote. “In 2025, I expect Meta AI will be the leading assistant serving more than 1 billion people, Llama 4 will become the leading state of the art model, and we’ll build an AI engineer that will start contributing increasing amounts of code to our R&D [research and development] efforts.”

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