Meta is reportedly developing a cloud infrastructure business to sell access to its AI computing power and models, according to Bloomberg. The move follows massive investments in data centers and aims to generate revenue from excess capacity, pitting Meta against major cloud providers like Amazon Web Services, Google Cloud, and Microsoft Azure. The initiative, internally called Meta Compute, is led by infrastructure head Santosh Janardhan, AI lab leader Daniel Gross, and president Dina Powell McCormick.
This strategy mirrors recent moves by SpaceX, which signed a deal with Anthropic to lease all compute capacity at its Colossus 1 data center. Both companies are capitalizing on the growing demand for AI compute, suggesting that owning data centers may be more valuable than providing the best AI models or services. However, skeptics warn that the AI infrastructure boom could create a bubble, with rapidly depreciating chips and questions about whether AI companies can generate enough end-user revenue to justify trillion-dollar bets.
Meta has committed $182.9 billion to AI infrastructure through early 2026, including massive projects in Louisiana and Ohio—the latter described by CEO Mark Zuckerberg as the size of Manhattan. Unlike Google and OpenAI, Meta has not seen significant demand for its own AI models, such as Llama or Meta AI, which do not yet represent a material revenue line. To recoup costs, Meta may follow CoreWeave’s model of selling raw compute capacity or offer hosted access to its closed-weight model, Muse Spark.
Zuckerberg previously indicated that a cloud computing business was “definitely on the table” as a way to return on Meta’s AI superintelligence investments. TechCrunch AI has reached out to Meta for comment.