Meta, Anthropic in talks for potential $10 billion compute lease deal, source says


People walk behind a logo of Meta Platforms company, during a conference in Mumbai, India, September 20, 2023. REUTERS/Francis Mascarenhas

July 17 (Reuters) - Meta Platforms is ⁠in talks to lease computing power to Anthropic in a potential deal ⁠worth up to $10 billion over two years, according to a source ‌familiar with the matter.

Shares of the social media giant pared losses slightly after the news and closed down more than 2% amid a wider tech selloff on Friday. They were down marginally in ​extended trading.

Such a deal would help Meta diversify beyond ⁠advertising by generating revenue from ⁠its infrastructure and competing with neocloud firms such as CoreWeave and Nebius, as growing ⁠adoption ‌of advanced AI tools boosts the need for computing capacity.

The Claude Code creator would pay Meta in monthly increments over the two-year period, although ⁠the terms remain subject to change, the source said, ​adding that the companies ‌would be able to exit any agreement early.

IPO-bound Anthropic had proposed the ⁠deal in June ​and Meta is considering it, the source said, adding that the talks have become complicated since Meta does not have a business selling its computing power.

The discussions are in ⁠their early stages and may not result in a ​deal, according to the source.

Meta did not immediately respond to a Reuters request for comment, while Anthropic declined to comment.

The potential agreement echoes a strategy recently pursued by ⁠Elon Musk's SpaceX, with whom Anthropic struck a deal in May to tap the full computing power of its Colossus 1 data center in Memphis, Tennessee.

At Meta's shareholder meeting in May, CEO Mark Zuckerberg had said entering cloud computing was "definitely on ​the table," noting that firms were approaching Meta "almost every ⁠week" to buy access to its AI models or spare computing power.

Earlier this month, ​Bloomberg News reported that Meta was building a ‌cloud business to sell excess computing power ​and host AI models for developers.

(Reporting by Anhata Rooprai in Bengaluru and Echo Wang in New York; Editing by Shilpi Majumdar and Tasim Zahid)

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