Nebius shares have surged this year and jumped again last week, with investors leaning into the company’s rapidly expanding AI cloud business. The rally reflects both blistering revenue growth reported for recent quarters and continued progress on AI infrastructure capacity deals, even as skeptics question whether the current valuation leaves enough room for further upside.
Key takeaways
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Nebius stock has gained sharply, including a near-50% jump last week, as the market priced in faster AI cloud expansion.
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The immediate catalyst is strong recent revenue growth driven by the company’s AI cloud unit, alongside ongoing contracted infrastructure commitments.
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Nebius is building toward large-scale capacity, including a contracted power target of 5 gigawatts to support workloads.
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Valuation and supply-chain constraints around GPUs remain central to the debate, with the key question being whether pricing power can hold as capacity from larger players expands.
What drove the move
According to the company’s reported results, Nebius posted revenue of $399 million in the first quarter of 2026, up 684% year over year from roughly $51 million. Management also reported quarter-on-quarter growth of 75% from the fourth quarter.
The growth was concentrated in Nebius’s AI cloud segment, which generated $389.7 million in the quarter, up 841% year over year. Data provided by the company also showed that by the second quarter, total revenue rose to $582.3 million, with AI cloud sales increasing nearly sixfold and beating analyst expectations.
Nebius’s outlook has further supported investor enthusiasm. Management projected 2026 revenue of $3 billion to $3.4 billion, which would represent roughly quadruple 2025 revenue and implies momentum that could place the company within the “mid-tier hyperscaler” tier based on revenue scale alone.
What Nebius actually sells
Nebius is positioning itself as an AI-native cloud provider rather than a general-purpose platform comparable to services built for a broad range of enterprise workloads. The company’s offering is described as specialized for large-model training, fine-tuning, and inference.
According to the article’s description, Nebius focuses on non-virtualized GPU clusters, fast networking, and a full software stack tailored to AI workloads. It also emphasizes rapid capacity deployment—customers can spin up GPU capacity in minutes—and elastic scaling. Pricing is framed around flexible consumption models geared toward AI training and inference rather than generic compute hours.
For investors, the core question is whether this specialization allows Nebius to outperform generic cloud competitors on performance and total cost of ownership, particularly when demand for AI compute is outpacing available capacity.
Capacity, capital and contracts
Market participants are also tracking Nebius’s ability to finance and deliver the infrastructure required to sustain growth. The company has secured multibillion-dollar AI cloud contracts, including at least four core infrastructure deals with averages above $1 billion each.
To support those commitments, Nebius has raised its contracted power target to 5 gigawatts. The company also expects significant spending to expand capacity, forecasting capex of $20 billion to $25 billion for 2026, largely for GPUs and data center build-outs.
The capital plan represents a step up from earlier estimates in the $16 billion to $20 billion range. To reduce direct financing burdens, Nebius has introduced an infrastructure partnership model in which third-party operators finance and own AI data centers. Nebius contributes its architecture, hardware design, and software stack, and then sells capacity through its marketing and sales channels.
Why analysts are still debating the valuation
Despite the strong growth, the stock is facing a valuation test. The article notes that Nebius trades at about 57 times sales, does not currently report profitability, and depends on premium pricing in a GPU-constrained market.
Bears argue that as AI compute capacity expands across hyperscalers and competitors—particularly as additional GPU availability comes online—Nebius may face more price competition. In that scenario, the company could need to compete more on service delivery and unit economics rather than scarcity-based pricing, which could pressure margins and slow the growth rate investors are expecting.
Supporters counter that AI infrastructure demand remains structurally stronger than supply and that Nebius’s long-term, multibillion-dollar contracts and capacity partnerships could extend the duration of its growth. The central uncertainty remains how quickly broader market capacity catches up, and whether Nebius can convert contracted commitments into a durable competitive advantage without giving up pricing power.
Market reaction and what to watch next
The stock’s sharp gains suggest investors are willing to underwrite high growth and a larger role for specialized AI cloud infrastructure, but the debate around valuation implies that future results will need to keep pace with expectations. Investors will likely focus next on whether Nebius can sustain its revenue ramp as it scales contracted power, manages the large capex program, and demonstrates continued resilience in pricing as more AI capacity becomes available.
Near-term, the market’s next signals will come from follow-on quarterly updates on AI cloud revenue and progress toward capacity targets, alongside broader GPU supply and AI infrastructure demand trends that influence pricing across the sector.







