Nebius Signs $27 Billion AI Infrastructure Agreement with Meta
Nebius Group has entered a new five-year AI infrastructure agreement with Meta, valued at up to $27 billion, announced in a press release.
Under the deal, Nebius will supply $12 billion of dedicated capacity across multiple locations, featuring one of the first large-scale deployments of the NVIDIA Vera Rubin platform. The company plans to begin delivering this capacity in early 2027.
In addition, Meta has committed to purchase up to $15 billion in additional compute capacity from upcoming Nebius clusters over the same period. Nebius intends to sell the remaining available capacity to third-party AI cloud customers.
The agreement strengthens the partnership between the two companies and supports Nebius’s expansion of its AI cloud infrastructure business. The company stated that its 2026 financial guidance remains unchanged.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief, Silicon Brief or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Sep 20 Litera Brings Foundation Firm AI Search to ChatGPT Enterprise Sep 19 Collinson Funds Priority Pass AI and App Expansion Through £500 Million Program Sep 19 Disney Names Former Character.ai CEO as Its First CTO Sep 19 Anthropic Picks Accenture for AI Safety Testing Sep 19 Huawei Unveils Immersive Telepresence SystemMore from Data Centers
Sep 19 Virginia Proposes Data Center Rules and Creates AI Task Force Sep 19 House Passes Bill to Shield Ratepayers From Data Center Power Costs Sep 19 Laminar Joins L'Oreal Sustainability Accelerator Sep 19 Dnotitia Begins Testing VDPU ASIC Samples Sep 19 Nscale Files for US Initial Public OfferingEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Nvidia Agrees to Buy Hugging Face for $12.9 Billion
Anthropic signs $517 billion in compute agreements over 11 months
Datasea Begins AI Marketing Services Under Five Customer Agreements
NVIDIA Agrees to Acquire Hugging Face for $12.93 Billion
Neno Raises €6.6 Million for AI Accounting Services in Europe
Daily AI Brief: the AI news that matters, in your inbox.