
Meta and Anthropic are in preliminary talks for Meta to lease $10 billion(約1.6兆円) in computing capacity to Anthropic over two years, with both companies able to exit early. If completed, the agreement would mark Meta's entry into the AI cloud services market, allowing the company to generate revenue from its excess data center capacity while Anthropic secures infrastructure ahead of a potential public listing as early as October.
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Meta is in preliminary talks to lease as much as $10 billion(約1.6兆円) of computing capacity to Anthropic under a two-year arrangement proposed by Anthropic in June, with monthly payments and early exit options available to both parties.
Why it matters
The agreement would represent Meta's first major move to monetize its vast internal AI infrastructure by serving outside customers, a shift CEO Mark Zuckerberg confirmed in May was "definitely on the table" after weeks of companies approaching Meta weekly for access to computing power or models.
What to watch
Anthropic is preparing for a possible public listing as early as October; securing additional capacity through this deal would give it more room to train models, run inference, and support new products ahead of that potential market debut. The final value and terms remain subject to change.
Meta Platforms Inc. (NASDAQ: $META) and Anthropic are in preliminary talks over a two-year computing capacity lease valued at as much as $10 billion(約1.6兆円). Anthropic proposed the arrangement in June and would make monthly payments to access Meta's infrastructure. Both companies retain the right to exit the agreement early, though the final value and terms remain subject to change.
If completed, the deal would mark a significant strategic shift for Meta. The company has built vast computing infrastructure to power its own AI models but has not yet transformed that capacity into a service for external customers. The talks could unlock a new commercial avenue: Meta would generate revenue from unused computing capacity while moving into competition with specialist infrastructure providers such as CoreWeave (NASDAQ: $CRWV) and Nebius (NASDAQ: $NBIS). CEO Mark Zuckerberg signaled Meta's interest in this direction at the company's shareholder meeting in May, stating that entering cloud computing was "definitely on the table." He noted that companies approach Meta almost every week seeking access to its models or spare computing power.
Anthropiс has been building a diversified infrastructure strategy as Claude adoption and developer demand expand. In May, the company struck a separate agreement to use computing power from SpaceX's Colossus 1 facility in Memphis. More recently, Anthropic signed a 20-year data center lease with TeraWulf (NASDAQ: $WULF). The timing of the Meta talks matters: Anthropic is preparing for a possible public listing as early as October, and securing additional computing capacity now would give the AI developer more room to train models, run inference, and support new products ahead of a potential market debut.
Meta's entry into AI cloud services has been anticipated since at least May, when CEO Mark Zuckerberg signaled openness to the idea at the company's shareholder meeting, noting that firms were seeking access to Meta's models or spare computing power nearly every week. The company has invested heavily in chips, power, and data centers to support its own AI ambitions but had not yet monetized that infrastructure for external customers. Talks with Anthropic represent a concrete opportunity to do so, potentially positioning Meta alongside specialist infrastructure providers like CoreWeave and Nebius in a market where demand for chips and data center access continues to tighten.
For Anthropic, the deal aligns with its broader strategy to diversify its computing capacity across multiple providers. Beyond the proposed Meta arrangement, the company has already secured infrastructure from SpaceX's Colossus 1 facility and committed to a 20-year lease with TeraWulf. Timing matters: Anthropic is preparing for a possible public listing as early as October, and locking in additional capacity now would provide the developer room to expand its model training, inference, and product offerings ahead of that market debut.
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