NEBIUS (NBIS.US) 2026年第二季度业绩电话会

文章语言：

简

繁

Minutes

原文

会议摘要

Nevis Group's Q2 2026 earnings call highlighted significant revenue and Adjusted EBITDA growth, driven by strong AI cloud services demand and strategic capacity expansion. The company secured multiple landmark deals, emphasizing flexible pricing and capacity allocation strategies. Innovations in capacity auctions and asset-light partnerships showcase adaptability and growth potential. Nevis Group plans to deploy over 1 GW of new capacity annually, backed by robust customer commitments and diversified funding sources, reaffirming 2026 financial guidance and commitment to long-term value delivery.

会议速览

Nebis Group Q2 2026 Earnings Call Highlights Business Model and Market Flexibility

The presentation covered Nebis Group's strong Q2 2026 performance, emphasizing a flexible business model that caters to AI builders through multi-cloud and software support. The company's approach allows it to determine sales, financing, and pricing, aligning with customer needs and fostering an open market. Three distinct deal types were highlighted, each with unique durations, pricing, and roles in the business strategy.

Strategic Capacity Management and Diverse Revenue Streams in AI Cloud Infrastructure

The dialogue highlights strategic decisions in managing AI cloud capacity, emphasizing midterm contracts with high-value clients for long-term stability and short-term deals for immediate premium revenue. Innovations in software and services are continuously pursued, aiming to optimize the infrastructure's financial and operational performance.

Revolutionizing Capacity Auctions and Expanding Infrastructure for Future Demand

The dialogue highlights the successful launch of a capacity auction, emphasizing the high value achieved for gco generation chips, and introduces an asset-light partnership model to address industry constraints of capital and capacity. This innovative approach, coupled with ambitious future capacity plans, positions the company as a leader in scalable infrastructure solutions, aiming to meet growing demand and expand revenue margins effectively.

Strong Q2 Performance, Reaffirmed Annual Guidance, and Strategic Financial Progress

The company reported a significant 454% year-over-year increase in Q2 revenue to $582 million, driven by higher utilization rates, an asset-light business model, and recent acquisitions. Group adjusted EBITDA soared to $236 million with a 41% margin, up from a loss the previous year. Prepayments from customers reached an all-time high, providing $9 billion in upfront funding and reducing the need for external financing. Operating cash flow was $2.3 billion, and the balance sheet ended the quarter with $8 billion in cash and cash equivalents. The company also issued shares through its ATM program, raised $775 million via an asset-backed debt facility, and plans to diversify funding sources. Capital expenditures of $5.7 billion in Q2 were primarily for GPU hardware and data center expansion, positioning the company for future capacity goals. Annual guidance is reaffirmed, with expectations of continued margin improvement and growth.

Reaffirming 2026 Guidance Amidst Strong Q2 Performance and Strategic Capacity Expansion

Despite challenges, the company reiterates its 2026 financial targets, emphasizing robust Q2 results, strategic capacity growth, and diversified revenue streams, aiming to deliver long-term shareholder value.

Update on VI Data Center Site: Capacity Tracking and Public Hearing Impact

The dialogue covers updates on the VI data center site, emphasizing capacity tracking and the impact of a public hearing. Key points include the switch to Bloom fuel cells, enhancing project reliability and emissions, and the project's on-track delivery without significant timeline impacts.

Nevius Secures Billion-Dollar AI Cloud Deals, Highlighting Scale, Performance, and Long-Term Partnership

Nevius has closed competitive billion-dollar deals in its core AI cloud business, emphasizing scale, performance, reliability, and long-term partnership as key differentiators. Customers, already partnered with hyperscalers, sought next-generation capacity and platform expansion, valuing Nevius' responsiveness, technical support, and strategic alignment. Wins were achieved through proactive engagement, not passive inquiries, with discussions ongoing for additional capacity and exploration of inference solutions.

Capacity Ramp-Up Confidence and Pipeline Growth in AI and Data Center Sectors

Discussed advancements in power contracts, reaching 5 GW by 2026, with flexible cloud contracts and partnerships accelerating capacity. Pipeline includes billion-dollar opportunities, focusing on AI natives, neo labs, and enterprises, ensuring scalable growth and technological superiority.

Navigating Market Dynamics: Nara's Strategic Expansion and Financing Approach

Nara emphasizes its flexible business model and platform to adapt to rapid market changes, leveraging available capacity for higher-margin contracts and launching auctions. The company is also evaluating financing strategies amidst volatile debt markets, considering equity and convertible options to support its growth. Nara's focus remains on maintaining platform flexibility to capitalize on market growth opportunities.

Strategic Financing Instruments and Disciplined Capital Management for Sustainable Growth

The approach prioritizes cost-effective financing, shareholder protection, and balance sheet health, leveraging customer prepayments, operating cash flow, asset-backed financing, and flexible debt/equity options for scalable expansion.

Strategic Capacity Allocation: Balancing Short-Term and Long-Term Deals for Optimal Value

The discussion revolves around the strategic approach to allocating 2027 capacity, emphasizing a balance between short-term premium deals and long-term AI cloud customer agreements. The strategy prioritizes customer type, price, upfront prepayment, and duration, while tactically selling capacity closer to deployment to enhance pricing and agility. This approach aims to maximize realized value by catering to immediate needs and securing strong unit economics with ambitious AI companies.

AI Cloud Market Growth and Opportunities for New Entrants

Discusses the expansion of the AI cloud market, opportunities for independent players, and the potential for new entrants to contribute to market growth without disrupting existing players' market share.

OpenAI's Commitment to Open Systems and the Surge in Demand for Customizable Models

The dialogue underscores the importance of open systems and open-source models in AI, highlighting their benefits in terms of flexibility, control, and economics. It discusses the rapid improvement in open model quality and the industry's shift towards customization for specialized use cases. The conversation concludes with a focus on the support and performance capabilities being developed to serve these models effectively.

Asset Light Model's Early Potential and Global Expansion Strategy

Discussed the asset light model's initial success and potential for global expansion through partnerships, emphasizing the platform's ability to facilitate market access for companies with significant capacity but lacking sales expertise. Future outlook on capacity pricing and revenue formalization for 2027 was also touched upon.

Investment Excitement for 2027: Capacity Expansion and Pricing Dynamics

The dialogue highlights anticipation for 2027, emphasizing capacity growth, pricing strategies, and asset-light models contributing to higher margins, with no immediate plans to sell out planned capacity, reflecting confidence in future market dynamics.

Data Center Expansion: Power Connection vs. Revenue Generation Timeline

A discussion on meeting the annual target of connecting 800 MW to 1 GW of power for data centers, emphasizing the gap between power connection and revenue generation due to commissioning and customer onboarding processes, with expectations set for the first half of 2027.

Exploring New Market Strategies: Capacity Aion and Short-Term Scale Training Deals

Discusses strategies behind new market motions, focusing on capacity Aion and short-term scale training deals. Highlights customer demand for dedicated scale and premium pricing, emphasizing the importance of speed and reliability in AI compute. Validates pricing and customer relationships while maintaining take or pay business models.

Leveraging Market-Driven Pricing for Enhanced Value and Customer Satisfaction

By implementing market-driven pricing strategies, we've achieved higher prices, confirmed customer value, and ensured compute access certainty, while also planning to scale these initiatives for broader market impact and strategic decision-making.

Funding Strategy for Capacity Expansion and Market Trends in AI Adoption

The dialogue outlines a diversified funding strategy for deploying over one gig of new capacity starting in 2027, emphasizing operating cash flow, customer prepayments, asset-backed financing, and potential DPU asset class financing. It also discusses the growing market adoption of AI technologies, particularly in production systems across various sectors, validating the strategy of building a vertically integrated AI platform.

Concluding Remarks and Adjournment of the Call

The call is officially concluded with appreciation expressed to all participants, and participants are informed they may now disconnect.

要点回答

Q：What are the different types of deals Navi has with its customers?

A：Navi has three types of deals with its customers: midterm contracts for 1 to 3 years with ambitious AI companies, shorter duration capacity deals for up to six months with customers with immediate time-bound needs, and long-term contracts with investment-grade customers that help finance their build-out faster and more efficiently.

Q：What is the pricing model for Navi's shorter duration capacity deals?

A：The pricing model for Navi's shorter duration capacity deals is a significant premium, with deals being negotiated for 40 to 50 million per megawatt range and sometimes above.

Q：How significant were the recent AI deals Navi closed?

A：The recent AI deals Navi closed were significant, representing landmark deals with players like Reflection Co, a scale AI startup, and a large US-based quant trading firm, each deal being for an average of more than a billion dollars. They have a yield of 20 to 25 million per megawatt with upfront payments covering 50-60% of associated CapEx.

Q：How does Navi's secured debt facility support its growth?

A：Navi's secured debt facility, raised in July, is based on firm commitments and includes $40 billion in contracted backlog, which supports the company's growth by allowing it to finance its build-out faster and more efficiently.

Q：What is the state of Navi's capacity pipeline and future plans?

A：Navi's future capacity pipeline is robust, with a focus on constructing future capacity through their own and colocated sites. They have raised their constructed power targets and now have the potential to build more than 1 GW of new capacity a year, with plans to do so in 2027.

Q：How does Navi's revenue growth compare to the previous year?

A：Navi's group revenue grew by 454% to $582 million in Q2 from the last quarter and AR business grew even faster, increasing 514% from last year to $575 million. The revenue growth is attributed to higher rates and an increase in utilization driven by improvements in underlying infrastructure efficiency and higher capacity sales.

Q：What was the EBITDA margin for the neighbor's AI business and how does it compare to the group's EBITDA margin?

A：The EBITDA margin for the neighbor's AI business was 50%, which is higher than the group's EBITDA margin of 41%. This margin reflects the investments in AVR and Triple 10 and signifies the significant majority of group adjusted EBITDA.

Q：What are the key components of the balance sheet performance and how much prepayment did customers provide?

A：Customers' prepayment raised an all-time high with roughly 70% of the deals closed in Q2 including an up-front payment. These prepayments will bring in more than $9 billion of upfront funding this year, reducing the capital needs from debt and equity. Additionally, operating cash flow was $2.3 billion, and the company ended the period with $8 billion in cash and cash equivalents. The company also issued 12.7 million shares at an average price of $224 per share, generating gross proceeds of approximately $2.8 billion.

Q：What is the purpose of the new asset-backed debt facility and what additional financing strategies is the company evaluating?

A：The purpose of the new asset-backed debt facility of $775 million is to provide funding secured against contracted cash flows, priced with a modest spread over benchmark rates, resulting in a mid single-digit percentage rate. The company has also entered into strategic field arrangements with investment-grade companies, based on which they have more than $40 billion in additional customer commitments at similar terms. The company is progressing with additional asset-backed financing and evaluating corporate-level debt and other financing instruments.

Q：What is the company's financial outlook for the remainder of the year?

A：The company is reaffirming its full-year 2026 guidance across all metrics, expecting annual run-rate revenue of $7 to $9 billion, group revenue between $3 and $3.4 billion, adjusted EBITDA margin of approximately 40%, and capital expenditures of $20 to $25 billion. The company remains confident in its ability to accelerate capacity deployment and expects capacity deployed in the late second quarter to begin contributing to revenue in the third quarter. The company is also looking at opportunities to generate incremental high-margin revenue from new models and short-term capacity deals.

Q：What was the impact of the public hearing on the data center site and how is capacity tracking?

A：The public hearing on the data center site did not result in a vote as of the latest information. The process is still ongoing, with the goal to obtain final approval for the amendment to the originally approved site layout plan. The project power source was changed to Bloom, which is seen as an enhancement from a community perspective and for delivering reliable power and low emissions. The transition to Bloom is considered a good pivot with no significant impact on the project timeline.

Q：How do recent wins in the core AI cloud business reflect on the company's strategy and customer relationships?

A：The landmark deal announcements in the core AI cloud business signify a key milestone in the company's go-to-market journey and confirm the belief in building a diversified customer base at scale. These wins were competitive, with the company's scale, performance, and reliability being the differentiators. The customers viewed the company as a long-term partner for expansion and growth, especially in light of next-generation capacity and platform.

Q：What is the status of discussions with the customer mentioned in the speech, and what new solutions are they exploring?

A：The company is in discussions with the customer for more capacity and is exploring their inference solution, referred to as a 'token factory'.

Q：What is the impact of hands-on POCs on customer validation of the company's technology?

A：The customers validated the company's technology through hands-on proofs of concept (POCs), with one customer stating that the technology was 'literally the best' they have ever had.

Q：What is the company's approach to capacity ramp and development timeline?

A：The company has made good progress on its constructed power, exceeding end-of-year projections for 2026 and plans to raise the contracted power to 5 GW by the end of 2026. They aim to have the power mostly come online over the next three to 3.5 years, with different region expansion and a mix of power types, including behind-the-meter power. They also have partnerships to unlock and expedite capacity.

Q：What are the pricing and capacity expansion strategies in response to the rapidly evolving market?

A：The company's business model and platform allow for rapid evolution with the market, including responding to fast-changing prices and growing demand. They build capacity in advance but not to preserve it, providing available capacity for short-term, high-margin contracts. They also launched their first auction for midterm contracts due to existing free capacity and multitasking benefits, demonstrating strategic advantages and the ability to grow faster with their universal platform.

Q：What approach does the company take towards financing and what sources of capital are considered?

A：The company's approach to financing is not to make a market call but to choose the right financing instrument and assets while focusing on cost of capital, minimizing shareholder dilution, and maintaining a strong balance sheet. The primary sources of capital are customer prepayments and operating cash flow. They have completed a $775 million asset-backed financing and consider various options like additional equity linked or convertible financing. They also have significant flexibility with nearly no corporate-level debt and evaluate all sources of funding alongside other capital needs. The company remains comfortable with its funding position and continues to consider multiple sources of capital for optimization.

Q：How has the company adjusted its sales strategy for capacity?

A：The company has tactically shortened the advance notice for capacity sales, effectively selling closer to deployment, which has improved pricing while preserving agility. They have also allocated a portion of capacity for short-term and immediate needs to achieve a combined realized value.

Q：How is the company planning to position itself in the growing AI cloud market?

A：The company aims to build gigawatt-scale capacity per year and recognizes that while many large companies are expanding, there is also an opportunity for new, independent players like themselves to build significant capacity and help fulfill the growing market demand.

Q：What is the company's stance on new AI capacity market entrants?

A：The company views the arrival of new players in the AI capacity market as validation of the market and does not see it as a change to their current position or plans.

Q：What does the company believe about competition and diversity in the market?

A：The company believes that competition and diversity benefit customers, businesses, and society. They are committed to providing open infrastructure without walls, enabling customers to have flexibility, control over their data, and freedom in deployment.

Q：Why are companies increasingly looking for specialized AI models?

A：Companies are moving towards specialized models because they can be tuned, trained, and optimized for particular use cases, leading to better performance. The need to extract value from specialized knowledge and data held within enterprises is driving companies towards models that are more tailored to their specific needs.

Q：How is the company performing with respect to open models?

A：The company is experiencing rapid improvement in the quality of open models, and their platform provides support for these models. The implementation of models like 0 5 2 has achieved a 100% quality score and leading performance, validating their position in driving demand for open source models.

Q：What is the company's strategy for the asset light offering?

A：The company's strategy for the asset light offering involves partnering with companies that have significant capacity and capital but lack the know-how to build and sell it. The platform allows for easy scaling into all markets and provides access to the market, helping partners deliver capacity to customers.

Q：What is the company's position on pricing and capacity deployment for 2027?

A：The company has closed deals with more than 20 million per megawatt and a less than two-year payback period. These deals are expected to come online from late Q4 onwards, serving as a baseline for early 2027 pricing. While the company has not yet provided formal guidance, they are confident in the future pricing dynamics and expect to deploy significantly more capacity in 2027 than in previous years. The asset light model and high-value services are also expected to contribute increasingly to revenue and support higher margins.

Q：What are the steps involved in progressing from connected power to revenue generation?

A：The steps involved in progressing from connected power to revenue generation include commissioning the data center, building new work, building clusters, deploying the platform, onboarding the customers, and then revenue generation starts.

Q：How is the monetization per megawatt in Q3 reflective of the company's strategy?

A：The monetization of 40 million per megawatt in Q3 is reflective of initial pricing for selling rubbin capacity, which is part of the company's strategy to validate while learning and building customer relationships.

Q：What is the strategy behind the new go-to-market motion involving capacity deals and training deals?

A：The strategy behind the new go-to-market motion involves piloting capacity deals and short-term scale training deals. These deals cater to customers with specific requirements, such as time-boxed large-scale training runs or reinforcement learning post-training sprints. The approach aims to deliver reliable performance AI compute and speed up time to market by charging a premium for these services.

Q：How is the market pricing being validated and what are the benefits of the new pricing model?

A：Market pricing is being validated through direct interaction with the market, obtaining a solid gauge on the fair value of the company's offerings at any moment in time. This is achieved by comparing against competitive pricing, analyst opinions, and prediction markets. The benefits include securing prices 15% to 20% higher than before, customer satisfaction with the validated pricing and access to necessary compute, and plans for future participation in similar pricing initiatives.

Q：What are the sources of capital for the company's growth and how is the funding for new capacity prioritized?

A：The company has multiple sources of capital for its growth, including operating cash flow, customer prepayments, long-term contracts with great customers, and corporate level debt and equity financing. The company is comfortable with its ability to finance the capacity it plans to deploy in 2027 and beyond. The prioritization of funding sources is managed in a disciplined way to maintain a strong balance sheet as the company scales.

Q：What is the market trend regarding token marketing and how is it impacting the usage and adoption of token factory and beauty?

A：The market trend regarding token marketing is that AI systems are moving into production across various sectors such as financial services, e-commerce, healthcare, and marketing. This is positively impacting the usage and adoption of token factory and beauty as customers seek to scale complex systems and integrate AI and machine learning workflows into their operations.

有用

Feedback

免责声明：本内容基于第三方人工智能AI算法生成，内容仅供参考。本平台不对其真实性、合法性、准确性负责，不构成任何投资建议，对以上内容不做任何担保与承诺。若有异议请与本平台反馈。