AI Adoption: Meta Launches a Cloud for Businesses

Meta Platforms is developing a cloud business to deploy AI and sell access to AI compute to companies, putting it in direct competition with Amazon Web Services, Microsoft Azure and Google Cloud.

What exactly Meta is preparing

According to Bloomberg Intelligence, the company is working on cloud infrastructure open to outside customers. The offering is expected to cover two key elements: compute resources, meaning GPU clusters for training and inference of neural networks, and direct access to Meta's AI models, reportedly including the Llama family.

In essence, this is Meta's move from consumer tech giant to the B2B cloud infrastructure segment. Today that segment is controlled by three players: AWS, Microsoft Azure and Google Cloud together hold more than two thirds of the global market, which exceeds $270 billion a year. The company has not yet disclosed specific terms, launch dates or a pricing model.

Meta's key difference from other potential entrants in B2B cloud is the open ecosystem around the Llama model family. If the company offers cloud access to these models, it will automatically gain a huge ready-made audience of tens of millions of developers already working with its stack, without having to win trust from scratch.

Why Meta has the resources to compete with AWS and Google

Several years of massive investment have turned Meta into a company with hyperscaler-class infrastructure. In early 2025, the company announced planned capital expenditures of $60–65 billion for the year, one of the largest such targets among global tech companies. Meta's assets include extensive GPU clusters based on NVIDIA H100/H200, its own custom-designed MTIA chips, and a sprawling network of data centers in North America, Europe and Asia.

Alongside its hardware buildup, Meta has established a strong position in open-source AI. The Llama model series has gathered hundreds of millions of downloads and built an active community of developers, companies and researchers. Most cloud providers offer other companies' models through an API; Meta will be able to offer its own, and ones the market already knows well. That significantly lowers the barrier to winning its first enterprise customers.

What will change in the cloud AI services market

A fourth major player will add pricing pressure, above all in AI inference and pretrained models, where competition is already growing thanks to specialized providers such as CoreWeave, Lambda Labs and Together.ai. The main players, AWS, Azure and Google Cloud, still hold their market share firmly, but the fight for developers increasingly centers on token cost and the breadth of the model catalog.

For enterprise customers, Meta could offer an unusual combination: hyperscaler-class infrastructure, open models with a broad ecosystem, and possible integration with the platform's advertising and social data. For AWS, Azure and Google Cloud, this is an unconventional rival: a company that was for years one of their largest customers and knows exactly how their ecosystem works from the inside.

What this means

Meta is shifting from consuming AI infrastructure to selling it. If the plans go ahead, the cloud AI services market will gain a fourth major player with enormous infrastructure of its own, strong open models and direct access to an audience of millions of developers. The next signal to watch for is an official product announcement with specific terms and pricing.

*Meta has been designated an extremist organization and is banned in Russia.