AI News

Meta Is Building a Cloud Business to Sell Its Spare AI Compute

Meta Wants to Sell Its Extra AI Compute and Rivals Are Nervous

Meta wants to sell the AI computing power it is not using. According to a Bloomberg report on July 1, Meta Platforms is building a cloud business to sell excess artificial intelligence computing capacity, as tech giants seek returns on costly AI investments amid worries about overspending. The share market reacted to tech giants’ move immediately. Meta shares rose more than 10% in early trading, easing pressure on a stock that had underperformed the S&P 500 this year with a nearly 15% decline. Parallelly, several neocloud rivals fell on the same news. Here’s the reason behind both moves explained, and how it makes a shift in the AI infrastructure business.

What Is Meta’s Actual Cloud Business Plan

Meta’s plan is still early as Bloomberg noted the plans are still in development and the strategy could change, citing people familiar with the matter. But the shape and trajectory is clear enough.

Meta is reportedly weighing two approaches, and may pursue both. The first is model access. The cloud service would let developers access AI models hosted on Meta’s infrastructure, including Muse Spark, and pay for the computing power needed to run them. That is similar to Amazon Web Services’ Bedrock, which lets developers access models from different companies. The second is selling raw compute. Meta is also considering selling raw AI computing capacity similar to how neoclouds do.

Zuckerberg’s effort would operate under the internal name Meta Compute. If it launches, it would pit Meta against the big cloud providers like Amazon Web Services, Google Cloud, and Microsoft Azure.

Why Meta Is Doing This Now

The primary context behind this is, of course, money. Meta is projected to spend as much as $145 billion on AI infrastructure this year, a significant portion of Big Tech’s more than $700 billion outlay on the technology. That spending has made investors uneasy, and Meta’s stock has lagged the market because of it. Selling spare compute addresses that pressure from two directions. It brings cash in, and it signals that Meta has capacity to spare, which implies its future spending may not need to climb as steeply. Either reading helps a company whose AI bill has been a persistent worry for shareholders.

This isn’t a new idea from Zuckerberg. At Meta’s May shareholder meeting, he 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. The demand, by his account, already exists.

However, there is also a direct precedent, given that Meta’s move comes weeks after SpaceX, via xAI, announced similar plans, signing deals to sell compute capacity from its Colossus data centers to Anthropic, Google, and Reflection AI. As D.A. Davidson’s Gil Luria put it, this is very similar to the situation SpaceX found itself in, which led it to sell compute capacity as well.

Why Neocloud Stocks Fell & How It Impacts the Market

As Meta rose, it divided the market, having neocloud and data center companies including CoreWeave, Nebius, IREN, and Applied Digital drop sharply on the report. Given how Neoclouds exist specifically to rent out AI compute, Meta having excess compute to sell is a direct shot at firms whose entire business is renting compute. Worse for them, some of these companies count Meta as a customer. As Luria noted, companies like CoreWeave and Nebius rely on Meta for their growth, and Meta may not need them anymore.

In other words, Meta could shift from being a buyer of neocloud capacity to a competitor selling its own. That is a genuine threat to that specific corner of the market, which is why those stocks moved the way they did. Mark Zuckerberg’s company had also recently launched Brain2Qwerty v2, which was a surgically free way of how brain-computer interfaces are being created and assessed. Whether or not, the AI giant is successful in its aim to sway market in the longer run with its latest business and research move remains to be seen.

Abhijay Singh Rawat
Abhijay is the News Editor at TimesofAI, who loves to follow up on the latest tech and AI trends. After office hours, you would find him either grinding competitive ranked games, or trek up his way in the hills of Uttarakhand.
You may also like
More in:AI News