Nebius Group saw a sizable market response on Monday after announcing that Meta Platforms Inc. has agreed to purchase as much as $27 billion in access to AI infrastructure over the next five years. The Amsterdam-listed cloud specialist reported a jump in its stock of about 15% by 06:22 ET, while Meta's shares climbed nearly 3%.
Under the terms detailed by Nebius, Meta will receive $12 billion of dedicated capacity beginning in early 2027. In addition, Meta has committed to procures up to $15 billion of extra capacity that Nebius is building for third-party customers, bringing the potential total of the multi-year arrangement to $27 billion.
The agreement represents one of the largest single contracts Meta has made as it scales the physical infrastructure required to develop and operate advanced AI products. The companies are not new partners; they expanded an existing relationship after Meta signed a separate $3 billion arrangement with Nebius last year.
Arkady Volozh, founder and CEO of Nebius, said: "We are pleased to expand our significant partnership with Meta as part of securing more large, long-term capacity contracts to accelerate the build-out and growth of our core AI cloud business. We will continue to deliver."
The Nebius announcement follows a recent move by Nvidia, which said it would invest $2 billion in the Dutch company under a strategic partnership aimed at developing AI data centers. Nebius stated that the Nvidia investment will support deployment of more than 5 gigawatts of Nvidia systems by the end of 2030.
Nebius is part of a cohort of newer cloud operators, often described as "neocloud" providers, that are designing data centers specifically to train AI models and run advanced AI services. These firms have drawn backing from Nvidia at a time when they are competing with much larger cloud providers, including firms that are also building their own AI accelerators.
According to Nebius's leadership, the company relies primarily on Nvidia chips for its systems. Volozh characterized Nvidia's investment as a relatively small portion of Nebius's overall spending plans. For the current year, Nebius expects capital expenditure to range between $16 billion and $20 billion.
The Nebius-Meta deal arrives amid a broader surge in infrastructure investment by major technology companies. Industry estimates referenced by Nebius indicate that large technology firms are expected to invest roughly $650 billion in 2026 to build data centers and purchase equipment to support AI services.
Meta has designated AI as its top strategic priority and has signed multibillion-dollar infrastructure agreements this year with chipmakers including Nvidia and Advanced Micro Devices, while also pursuing internal chip development. Mark Zuckerberg said last year that Meta plans to spend $600 billion on U.S. infrastructure projects by 2028, with funding coming largely from profits generated by the company's advertising business and from external financing.
The sizable commitment to AI infrastructure is taking place alongside cost-management measures at Meta. A media report over the weekend stated that Meta is planning broad layoffs that could affect 20% or more of its workforce as the company seeks to offset the expenses associated with AI infrastructure spending and to prepare for greater efficiency from AI-assisted work. The report cautioned that no timeline for the cuts has been set and the final magnitude has not been determined.
Market reactions to the Nebius agreement underscore how contractual commitments and strategic investments are reshaping the vendor landscape for AI infrastructure. For Nebius, the Meta arrangement and Nvidia's capital infusion together underline the company's positioning within the market for large-scale AI compute, even as the firm proceeds with a heavy capex plan.
What this means for markets and sectors
- Cloud infrastructure providers and the emerging neocloud operators are likely to remain focal points for investors as large technology companies lock in long-term capacity.
- Semiconductor suppliers, particularly those providing AI accelerators, are central to these arrangements given providers' reliance on specialized chips.
- Corporate spending and workforce decisions at major tech firms may continue to be influenced by large, multiyear infrastructure commitments.