A：In Q1 2026, Core Weave reported the strongest quarter for customer bookings, signing over 40 billion in new commitments, growing the contracted revenue backlog to nearly 100 billion. They generated approximately 2.1 billion in revenue, marking a 32% quarter-over-quarter and 112% year-over-year increase. Core Weave also surpassed 1 GW of active power, a milestone achieved by only a few cloud companies.

A：The four themes Core Weave highlights are: 1) the demand environment is intensifying due to hypergrowth among existing customers and the maturation of new enterprise verticals; 2) Core Weave's platform capabilities have broadened to serve various customer use cases from training to inference to genetic workloads, positioning the company for sustained margin accretive growth; 3) Core Weave has reached hyperscale with over 3.5 GW of contracted power, with most expected to be operational by the end of 2027; and 4) Core Weave has taken a significant step forward in its financing engine, unlocking new sources of capital and securing over $20 billion in debt and equity year-to-date.

A：Core Weave added Anthropic as a customer to support the development and deployment of AI models. They also signed multiple new orders with Meta, including a $21 billion agreement announced in early April. Core Weave supports the world's four preeminent AI model developers and nine of the ten leading AI companies outside of China.

A：New verticals contributing to Core Weave's growth include financial services, where technology-driven firms scale their machine learning workloads, and physical AI and spatial computing, which includes companies involved in robotics, autonomous driving, and scientific discovery.

A：Core Weave has been deliberately strengthening its integrated stack for the most capable AI cloud platform. In Q1, they introduced Core Weave's Trust Center to allow enterprises to quickly and efficiently productize AI without compromising security or compliance standards. Additionally, the company offers a fully integrated set of AI Cloud capabilities, and more than 90% of reserved instance customers use at least two of their products.

A：In Q1, Core Weave introduced Flex reservations and spot pricing to offer customers greater flexibility in consuming compute resources, allowing them to better manage peak demand and unpredictable workloads while budgeting more effectively. These offerings were immediately oversubscribed.

A：Core Weave has announced Core Weave Interconnect in collaboration with Google Cloud, in addition to Sunk Anywhere and Lada Cross Cloud. These initiatives are aimed at removing friction in managing a multicloud footprint, making it simpler and faster for organizations to run workloads anywhere. Core Weave is also beginning to offer Core Weave Omni, which allows the deployment and operation of its full cloud stack in customers' own data centers with GPUs.

A：Core Weave's data center build-outs consist of five phases: power, cooling, networking, servers, and the software orchestration layer. The company views these build-outs as investments in the communities that host them, aiming to earn a place through contributions like grid upgrades, workforce development, and local investment, which compounds over time.

A：Core Weave plans to continue expanding its contracted power footprint through leases while also accelerating the development of self-built sites to gain greater operational control and long-term financial upside. The company expects its first self-built site to come online later this year. Its strategies are complemented by a strategic relationship with Nvidia.

A：In Q1, Core Weave closed its $8.5 billion delayed draw term loan 4.0 facility, marking a transformational milestone. The facility was the first ever investment-grade delayed draw term loan backed by HPC infrastructure, achieving an A-minus equivalent rating from Moody's, Fitch, and DBRS. It was non-recourse to the parent, well oversubscribed, and priced to imply a cost of less than 6%. This financing step is expected to drive Core Weave's weighted average cost of capital lower.

A：Core Weave is focused on four objectives to drive its growth: 1) deliver the most technically advanced cloud platform for AI workloads, 2) empower customers to innovate, build, and deploy; 3) diversify and grow the customer base; and 4) position the capital structure to scale with the opportunity.

A：Core Weave is positioned to meet its goal with its strong backlog, diversified customer base, and capacity to deliver highly performant and reliable AI cloud capacity quickly. Active power currently exceeds 1 GW, and contracted power is over 3.5 GW, with plans to grow to more than 8 GW by 2030.

A：In Q1, Core Weave achieved a record backlog of nearly $100 billion, over $2 billion in quarterly revenue, and more than 1 GW of active power. The company continued to diversify its customer base, signing customer contracts with attractive margins and rapidly bringing new capacity online. Core Weave's demand for AI cloud services is accelerating, with prices increasing across the board and strong commitments from leading model platforms and enterprises.

A：The interest expense for Q1 was 536 million, which is an increase from 264 million in Q1 of 2025, driven by increased debt to support the continued scaling of the infrastructure and delivery of customer commitments.

A：Construction in progress (CIP) remained roughly unchanged sequentially as of the report.

A：The company's capital raising strategy is grounded in the principle that the capital raised is tied to customer demand.

A：The DDT L 4.0 is the first ever investment grade-rated HPC infrastructure-backed debt facility, which was a seminal transaction for the company and priced at an implied rate of less than 6%, significantly decreasing from previous facilities. It also included an ABS style draw feature unlocking an additional 1 billion of drawable capital.

A：The updated forecast for Q2 is a range of 2.45 to 2.6 billion in revenue and 30 to 90 million in adjusted operating income. For the full year, the guidance is 12 to 13 billion of revenue and 900 to 1.1 billion of adjusted operating income.

A：The expected CapEx for the year is 31 to 35 billion, and the forecast for the remainder of the year has been updated to 7 to 9 billion as the company continues to bring significant capacity online in service of its contracted revenue backlog.

A：The company expects to end 2026 with 18 to 19 billion of annually and run rate revenue, and expects to grow annualized run rate revenue to more than 30 billion as it exits 2027.

A：Q1 saw material progress with growth in revenue and backlog. The company added new blue chip customers and grew with existing partners. Deployments were profitable at the contract level, and despite Q1 being the trough of the margin trajectory, sequential margin expansion is expected through the rest of the year. Financial highlights include over $20 billion in debt and equity secured through oversubscribed transactions, a contracted revenue backlog providing multi-year visibility, and a capital structure that is deeper and more cost efficient than ever before.

A：The company is adept at managing higher component pricing due to its history of operating in a challenging supply chain environment. They build their contracts to include the cost of all necessary components for delivering infrastructure, thus insulating themselves from price inflation on some components. They include the necessary pricing in their offerings to clients to target mid-20s margins on a unit basis.

A：A significant development with Nvidia this quarter was the qualification of the company's software solution as a reference architecture for Nvidia. This was a major validation of the software quality and a testament to the company's dedication to delivering the best AI infrastructure solutions. The relationship with Nvidia allowed the company to secure 400 MW of infrastructure within the last quarter, in addition to the previously secured 2 GW. The 5 GW目标为公司提供了在机会出现时加速获取更多基础设施的能力。

A：The EBITDA guidance for the full year is $1.2 billion, generated in the latest quarter, which is significantly higher than the $81 million reported in the first half of the year. The company's performance in the first half was contrasted with the robust EBITDA generation in the second half, indicating a strong bottom line growth for the year.

A：The company is on track for sequential margin expansion through the balance of the year with an expected inflection in revenue and margin growth from Q2 to Q3. They are reaffirming full year guidance with a projected exit from the year with low double-digit adjusted operating income margin.

A：The confidence in meeting financial numbers stems from the company's work in ensuring supply chain resiliency, with a presence in approximately 50 data centers and no single data center provider delivering more than 17% of the company's active infrastructure. Multiple Oems and odms are used to create a resilient supply chain.

A：The company is making a slight adjustment in CapEx to manage a small portion of the CapEx stack subject to price inflation. They price deals with purchase orders in hand for required infrastructure and understand today's and future power costs due to contractual agreements, effectively passing through costs to ensure targeted margins.

A：Revenue upside from Q1 is not fully reflected in the full year revenue guidance due to the company being sold out for 2020-2021 capacity. However, the guidance for the floor of exit ARR has been raised, and the revenue upside is reflected in the strong Q1 results and the significant bookings, which impact the 2027 ARR guidance.

A：Revenue recognition from the backlog is determined by the completion of data center build-outs and the subsequent live traffic within those facilities. This leads to step-up revenue recognition in quarters when data centers reach capacity.

A：Gross margin improvement is expected to occur as deployments finish and generate revenue, stabilizing contribution margins and leading to operating margin inflection in Q3. The drivers for better margin structure include the ramping up of revenue generation after capacity deployment and the stabilization of contribution margins.

A：The increase in technology and infrastructure expenses is not directly explained in the provided text. However, the focus is on a 'thin-based, not economic' margin dynamic, where costs are recognized during the deployment phase ahead of revenue generation, until revenue generation stabilizes in phase three.

A：Revenue is recognized when the company deploys capacity and hands over GPUs to the end customer. This occurs after data centers come online and the deployed capacity is handed over to customers, from which point revenue is recognized on a straight line basis over the life of the customer contract.

A：For Core Weave, adding substantial infrastructure, such as 300 MW in a quarter when running at 50 MW, has a significant impact on gross margin. However, when running at 2000 MW and adding 50 MW, the impact on gross margin is less pronounced.

A：Achieving 'escape velocity' for Core Weave means that the company has reached a scale where its installed base is large enough to handle the next incremental unit of compute, data hall, or data center as they are brought online, leading to normalization of margins and immediate re-inflation.

A：In Core Weave's installed base, inferencing is growing rapidly. It is expected to account for more than 50% of compute usage, which is positive for the company as it indicates that consumers are monetizing their investment and driving revenue by selling their compute and models.

A：Core Weave believes there are varied use cases within AI that require different types of infrastructure, including Hopper and Ampere chips. They have seen significant demand for these chips, driven by different power, scale, and pricing requirements for training and inference.

A：Core Weave is pursuing both self-build data centers and contracts with third-party data center providers. They are coordinating with client signals to lease infrastructure or schedule self-builds to ensure they can deliver the necessary compute power.

A：Core Weave is considering the demand for different sectors such as life sciences, biology, and inference products to thoughtfully allocate the remaining 1.4 GW of contracted power to clients that will be leaders in the growing space.

A：Core Weave is orchestrating the coordination of securing data center capacity, which includes managing labor, memory, storage, and infrastructure setup. The limiting factors are not just power but also labor and the ability to bring up infrastructure.