Meta looks to monetize excess AI capacity

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Meta plans an AI cloud business

Highlights

Meta is exploring a cloud business for AI compute and hosted models.
The plan could put Meta closer to AWS, Azure, and Google Cloud.
The business may help offset heavy AI infrastructure spending.
The strategy remains in development and could change.

A new use for Meta AI infrastructure

According to Bloomberg, the planned business would be built around Meta’s growing computing base, including data centers, chips, and internal AI systems. One model under discussion would let developers access AI models hosted on Meta infrastructure, in a structure similar to Amazon Bedrock. Another option would involve selling raw computing capacity, closer to the business model used by AI cloud companies such as CoreWeave.

The effort is part of Meta Compute, an internal initiative focused on building and managing the company’s AI infrastructure. The initiative involves Santosh Janardhan, Meta’s head of infrastructure; Daniel Gross, a leader inside Meta Superintelligence Labs; and Meta President Dina Powell McCormick. Meta declined to comment, and the plans may still change.

Investors look for returns on AI spending

Meta has made artificial intelligence one of its top priorities, with Chief Executive Mark Zuckerberg arguing that the industry is constrained by available computing power. The company has committed enormous sums to AI data centers and related infrastructure, including deals with cloud and infrastructure providers.

That spending has raised questions about returns. A cloud business could help answer some of those concerns by allowing Meta to sell unused capacity or paid access to hosted AI services. Zuckerberg told shareholders in May that selling excess compute or offering an API service was “definitely on the table,” though he said Meta had not done so because it still expected to use the capacity internally.

The cloud race enters a new phase

AI has changed the economics of cloud computing. The most valuable capacity is no longer just storage and general computing, but specialized chips and data centers capable of training and running large AI models.

For Meta, selling compute could turn overbuilt infrastructure into a revenue source. For rivals, it could mean a powerful new entrant with large-scale data centers and its own AI models. The risk is execution: cloud services require enterprise sales, software tools, support, and reliability, not just chips. If Meta moves ahead, it would be stepping into one of technology’s most competitive and capital-intensive markets.

Earlier, we reported that Meta takes a minority stake in Indian fintech Cred.

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