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Nebius Group N.V. is an Amsterdam-headquartered, Nasdaq-listed company whose main operating business is Nebius AI Cloud. It builds and sells large-scale computing capacity and cloud software for organizations developing artificial-intelligence products. Customers pay to train, fine-tune and run models, while Nebius combines data-center infrastructure, GPUs, networking and platform services into that offering. In the first quarter of 2026, Nebius AI Cloud generated $389.7 million of the group’s $399.0 million revenue, or about 98%.
Nebius Group and Nebius AI Cloud are not the same thing
Nebius Group is the public company. Nebius AI Cloud is its central operating business and the name customers encounter when they buy cloud capacity and related services. Investor materials also refer to other group activities, so group revenue and AI-cloud revenue should always be matched to the same reporting period rather than treated as interchangeable.
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The company is designed for the AI-computing market rather than consumer electronics. Its customers include startups and enterprises building AI products, agents and services. The platform is intended to cover several stages of the AI lifecycle:
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- Training: processing large datasets to create a model.
- Fine-tuning: adapting an existing model for a particular task, industry or dataset.
- Inference: running a trained model to answer users, classify data or generate content.
- Production deployment: keeping those applications available for end users.
That positioning matters because the purchase is more than electricity, rack space or an individual graphics processor. Nebius sells access to a working AI infrastructure and the software and services needed to use it.
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What customers are actually buying
Compute capacity
The basic product is access to computing resources suitable for AI workloads. A customer may need a large cluster for a training run, a predictable block of capacity for an enterprise application, or flexible resources for inference. The customer consumes a cloud service; it does not need to build and operate the entire data center itself.
A full-stack cloud platform
Nebius describes its offer as a platform spanning data and model work through deployment. Software, systems architecture, operations and service support sit around the underlying hardware. This allows the company to sell an integrated environment instead of only wholesale power or bare-metal equipment.
Dedicated capacity
Large buyers can reserve capacity under multiyear agreements. A reservation gives the customer a planned supply of computing power and gives Nebius a contracted demand signal for facilities and equipment investment. The value of such a contract is a commitment over time, not revenue that has already been earned.
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1. Secure power and facilities
Nebius assembles data-center capacity through sites it owns, colocated facilities and, under a model announced in July 2026, facilities owned and operated by infrastructure partners. Power availability is a gating factor for AI clusters, so the company tracks several different stages instead of using one headline number for everything.
2. Install and operate AI infrastructure
The sites are equipped with the computing, networking and supporting systems required for large-scale AI workloads. Nebius then operates the platform and makes that capacity available to customers. The public materials describe GPU-intensive infrastructure and deployment at data-center scale, not a consumer-hardware business.
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3. Sell usage and platform services
Developers and businesses pay for access to the resources and services they use for training, fine-tuning, inference and production applications. The commercial value includes the platform software, orchestration and operational layer around the machines. The reviewed disclosures do not provide a public breakdown of pricing by workload or a percentage split between usage, managed services and other mechanisms.
4. Lock in larger customers with long-term commitments
Multiyear deals allocate dedicated or additional capacity over an agreed period. These commitments can support facility financing and equipment planning while creating a route to future revenue as capacity is delivered and consumed. Accounting revenue is recognized as contractual services are provided, so a headline contract value should not be reported as a current-quarter sale.
5. Add partner-owned infrastructure to the supply chain
In the announced partner model, the infrastructure partner finances and owns the facility and hardware and operates the data center. Nebius supplies its systems architecture, software and services stack, maintains that stack, and sells capacity through its global sales organization. The company says possible economics include revenue sharing, licensing fees, commissions and sales of committed capacity. It has announced initial arrangements but has not quantified their contribution to revenue or profit.
Reported revenue and the scale of the business
| Measure | Reported figure | How to read it |
|---|---|---|
| Q1 2026 group revenue | $399.0 million | Revenue for the quarter reported by Nebius. |
| Q1 2026 Nebius AI Cloud revenue | $389.7 million | The AI-cloud portion of group revenue for that quarter. |
| AI cloud share of Q1 2026 group revenue | Approximately 98% | Calculated from the two company-reported revenue figures. |
| 2025 year-over-year revenue growth | 479% | Historical growth reported by the company; it is not a forecast. |
| Cash in the March 2026 update | $3.7 billion | Cash reported in that company update, not annual profit. |
| Target ARR at the end of 2026 | $7 billion to $9 billion | Management guidance, not revenue already realized. |
The figures cover different concepts and periods. Quarterly revenue is an accounting measure for services delivered in that quarter. The 479% figure compares 2025 with the prior year. The $7 billion-to-$9 billion ARR range is forward-looking guidance and can change with later results, customer deliveries and capacity availability.
ARR, revenue, backlog and contract value mean different things
Annualized run-rate revenue (ARR)
Nebius defines ARR as AI-cloud revenue from the final month of a quarter multiplied by 12. It annualizes the pace of one recent month. It is useful for describing a rapidly expanding business, but it is not the same as revenue earned over the full year and does not guarantee that the next 12 months will match that pace.
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Backlog
A March 2026 company update described more than $20 billion of contract backlog. Backlog represents contracted business expected to be delivered over time. It is not cash received, recognized revenue or profit, and delivery depends on bringing the promised capacity online and meeting customer and contractual conditions.
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Contract value
Contract value describes the potential economic size of an agreement across its term. For example, Nebius announced a five-year Meta agreement in March 2026 for $12 billion of dedicated capacity and up to $15 billion of additional compute purchases, a stated potential total value of approximately $27 billion. The additional purchases are described as possible, and the total is spread over five years; neither point makes $27 billion current revenue.
How the Microsoft and Meta agreements fit the model
Nebius announced a dedicated-capacity agreement with Microsoft in September 2025. In March 2026 it announced the larger Meta arrangement. These customers illustrate why capacity planning and customer concentration matter in AI cloud: a small number of very large buyers can reserve substantial infrastructure for years.
Such agreements can improve visibility into future demand, but they also create execution requirements. Nebius must secure power, complete facilities, install equipment and make the contracted service available. The public announcements establish the commitments and stated values; they do not by themselves establish how much revenue has been recognized, the timing of every deployment or the profitability of each contract.
Understanding Nebius’s capacity numbers
Nebius separates power into three stages. Collapsing them into one figure can make the business appear further along than it is.
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| Stage | Meaning | Why it matters |
|---|---|---|
| Contracted power | Power secured through agreements or commitments. | Shows potential supply, but not necessarily a built or operating site. |
| Connected power | Power connected into built and equipped data centers. | Indicates that facilities are physically connected, though not all equipment may be productive. |
| Active power | Power consumed by installed, operational IT equipment available for revenue generation. | Closest of the three to capacity that can serve customers now. |
The company reported more than 3.5 gigawatts of contracted power, with more than 75% owned. It targeted 800 megawatts to 1 gigawatt of connected power by the end of 2026. Those figures describe different stages: contracted power is not equivalent to active revenue-generating capacity, and a target is not a result already achieved.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.The July 2026 partner model changes who funds the data center
Traditional expansion requires the cloud provider to fund or lease facilities, buy hardware and carry the operating burden. Nebius’s newer model shifts much of that infrastructure ownership to partners. Partners finance and own the hardware and operate the data centers, while Nebius contributes the architecture, software and service layer and markets the capacity.
This can let Nebius expand its customer reach without owning every site. It also changes the economics: instead of collecting only a conventional wholesale bare-metal payment, Nebius may participate through revenue share, license fees, commissions or committed-capacity sales. The company’s chief executive, Arkady Volozh, characterized the approach as giving partners “much better margins than conventional wholesale bare-metal contracts.” That is management’s description, not an independently measured margin result. No public disclosure in the cited materials quantifies the partner model’s revenue, costs or profitability.
Who uses Nebius AI Cloud?
The stated target market runs from AI-native startups to large enterprises. Smaller companies can obtain infrastructure and platform capabilities without constructing their own clusters. Larger organizations can reserve dedicated capacity for predictable projects or production services. The common requirement is sustained AI computation rather than ordinary office hosting.
Microsoft and Meta are publicly identified as large capacity counterparties. The broader customer base is described as companies building AI products, agents and services. The available disclosures do not provide a complete customer-by-customer revenue table, so it is not possible to calculate from them how much revenue comes from any one customer or from on-demand versus committed arrangements.
What determines whether the model is profitable
Revenue growth alone does not reveal the economics of an AI cloud. Important variables include the cost of GPUs and other equipment, electricity, data-center construction or colocation, networking, staffing, financing and the utilization of installed capacity. A cluster that is powered but waiting for equipment or customers does not produce the same return as active, highly utilized infrastructure.
The partner model may reduce the capital Nebius must put into facilities, but it can introduce revenue-sharing and licensing obligations. Owned sites may offer greater control and potentially more retained economics while requiring more capital and operational responsibility. Colocation sits between those approaches. The cited company materials do not publish a quantified comparison of these routes or unit economics against other AI-cloud providers.
How to compare Nebius with another AI cloud
A single GPU or gigawatt headline is not enough. Use the following questions:
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- Capacity status: Is the number contracted, connected or active? When is the capacity expected to become usable?
- Infrastructure ownership: Are sites owned, colocated or partner-owned, and who funds hardware and operations?
- Customer mix: Is demand spread across many on-demand users or concentrated in a few multiyear commitments?
- Financial measure: Are you looking at recognized revenue, ARR, backlog, contract value or management guidance?
This framework prevents a contracted-power target or a multibillion-dollar agreement from being mistaken for current service capacity or earned sales.
What the public figures do not establish
The cited disclosures do not provide a complete price list, a revenue split by pricing mechanism, independently audited unit economics for each infrastructure model or a quantified profit contribution from partner arrangements. They also do not prove that every dollar of announced contract value will be purchased or recognized on the stated schedule.
Company-reported growth, backlog, capacity plans and margin descriptions are useful indicators of strategy and demand, but they remain management disclosures. Later earnings reports and capacity updates can change revenue, backlog, cash, guidance and the amount of active infrastructure.
Bottom line
Nebius makes money by turning data-center power and AI hardware into a cloud service that organizations can use to train, adapt and run models. Its core revenue currently comes from Nebius AI Cloud, with additional commercial routes through dedicated multiyear capacity contracts and a partner model in which other companies own and operate infrastructure while Nebius supplies the software and sales layer. The key distinctions are essential: Nebius Group is the listed company, Nebius AI Cloud is its main operating business, ARR is an annualized run rate rather than full-year revenue, backlog and contract value are commitments rather than recognized sales, and contracted or connected power is not the same as active capacity serving customers.
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