Q1 2026 CoreWeave Inc Earnings Call

May 7, 2026

Speaker #1: Earnings call. After today's prepared remarks, we will host a question-and-answer session. If you would like to ask a question, please press star 1 to raise your hand.

Operator: Earnings call. After today's prepared remarks, we will host a question and answer session. If you would like to ask a question, please press star one to raise your hand. To withdraw your hand, press star one again. I will now hand the conference over to CoreWeave. Please go ahead.

Speaker #1: To withdraw your hand, press star 1 again. I will now hand the conference over to CoreWeave. Please go ahead.

Speaker #2: Thank you. Good afternoon and welcome to CoreWeave's first quarter 2026 earnings conference call. Joining the call today to discuss our results are Mike Intrator, CEO and Nitin Agrawal, CFO; before we get started, I would like to take this opportunity to remind you that our remarks today will include forward-looking statements.

[Company Representative] (CoreWeave): Thank you. Good afternoon, and welcome to CoreWeave's Q1 2026 Earnings Conference Call. Joining the call today to discuss our results are Mike Intrator, CEO and Nitin Agrawal, CFO. Before we get started, I would like to take this opportunity to remind you that our remarks today will include forward-looking statements. Actual results may differ materially from those contemplated by these forward-looking statements. Factors that could cause these results to differ materially are set forth in today's earnings press release and in our quarterly report on Form 10-Q to be filed with the SEC. Any forward-looking statements that we make on this call are based on assumptions as of today, and we undertake no obligation to update these statements as a result of new information or future events. During this call, we will present both GAAP and certain non-GAAP financial measures.

Speaker #2: Actual results may differ materially from those contemplated by these forward-looking statements. Factors that could cause these results to differ materially are set forth in today's earnings press release.

[Company Representative] (CoreWeave): Factors that could cause these results to differ materially are set forth in today's earnings press release and in our quarterly report on Form 10-Q to be filed with the SEC. Any forward-looking statements that we make on this call are based on assumptions as of today, and we undertake no obligation to update these statements as a result of new information or future events. During this call, we will present both GAAP and certain non-GAAP financial measures.

Speaker #2: And in our quarterly report on Form 10-Q to be filed with the SEC. Any forward-looking statements that we make on this call are based on assumptions as of today, and we undertake no obligation to update these statements as a result of new information or future events.

Speaker #2: During this call, we will present both gap and certain non-gap financial measures. A reconciliation of gap-to-non-gap measures is included in today's earnings press release.

[Company Representative] (CoreWeave): A reconciliation of GAAP to non-GAAP measures is included in today's earnings press release. The earnings press release and an accompanying investor presentation are available on our website at investors.coreweave.com. A replay of this call will also be available on our investor relations website. Now I'd like to turn the call over to Mike.

Speaker #2: The earnings press release and an accompanying investor presentation are available on our website at investors.coreweave.com. A replay of this call will also be available on our investor relations website.

Speaker #2: And now, I'd like to turn the call over to Mike.

Speaker #3: Good afternoon, everyone, and thank you for joining us. Q1 was a transformational quarter for CoreWeave. We delivered our strongest quarter for customer bookings, signing more than 40 billion of new commitments and growing contracted revenue backlog to nearly 100 billion.

Mike Intrator: Good afternoon, everyone, and thank you for joining us. Q1 was a transformational quarter for CoreWeave. We delivered our strongest quarter for customer bookings, signing more than $40 billion of new commitments and growing contracted revenue backlog to nearly $100 billion. We generated approximately $2.1 billion of revenue, up 32% quarter-over-quarter and 112% year-over-year, and surpassed 1 gigawatt of active power, a milestone only a handful of cloud companies have ever achieved as we convert contracted capacity into revenue-generating cloud services. We concluded Q1 stronger than ever. AI diffusion is accelerating and our addressable market, customer base, and platform are all expanding rapidly. CoreWeave remains at the forefront of this generational shift.

Michael Intrator: Good afternoon, everyone, and thank you for joining us. Q1 was a transformational quarter for CoreWeave. We delivered our strongest quarter for customer bookings, signing more than $40 billion of new commitments and growing contracted revenue backlog to nearly $100 billion.

Speaker #3: We generated approximately 2.1 billion of revenue, up 32% quarter over quarter and 112% year over year. And surpassed 1 gigawatt of active power, a milestone only a handful of cloud companies have ever achieved.

Michael Intrator: We generated approximately $2.1 billion of revenue, up 32% quarter-over-quarter and 112% year-over-year, and surpassed 1 gigawatt of active power, a milestone only a handful of cloud companies have ever achieved as we convert contracted capacity into revenue-generating cloud services. We concluded Q1 stronger than ever. AI diffusion is accelerating and our addressable market, customer base, and platform are all expanding rapidly. CoreWeave remains at the forefront of this generational shift.

Speaker #3: As we convert contracted capacity into revenue-generating cloud services, we concluded Q1 stronger than ever. AI diffusion is accelerating, and our addressable market, customer base, and platform are all expanding rapidly.

Speaker #3: CoreWeave remains at the forefront of this generational shift. The four themes I would like to highlight today are: one, the demand environment is intensifying.

Mike Intrator: The four themes I would like to highlight today are: 1, the demand environment is intensifying, driven by the hypergrowth of our existing customers and the rapid maturation of new enterprise verticals. 2, we have broadened the capabilities of our platform to serve every customer use case from training to inference to agentic workloads, positioning CoreWeave to benefit from sustained margin accretive growth. 3, we have reached hyperscale with more than 3.5 GW of contracted power, up more than 400 MW this quarter alone, with the substantial majority expected to be online by the end of 2027. 4, our financing engine has taken a significant leap forward, unlocking new sources of capital across markets at a lower weighted average cost, enabling CoreWeave to secure more than $20 billion of debt and equity year to date.

Michael Intrator: The four themes I would like to highlight today are: 1, the demand environment is intensifying, driven by the hypergrowth of our existing customers and the rapid maturation of new enterprise verticals. 2, we have broadened the capabilities of our platform to serve every customer use case from training to inference to agentic workloads, positioning CoreWeave to benefit from sustained margin accretive growth.

Speaker #3: Driven by the hypergrowth of our existing customers and the rapid maturation of new enterprise verticals. Two, we have broadened the capabilities of our platform to serve every customer use case from training to inference to agentic workloads, positioning CoreWeave to benefit from sustained margin accretive growth.

Speaker #3: Three, we have reached hyperscale. With more than 3.5 gigawatts of contracted power, up more than 400 megawatts this quarter alone. With the substantial majority expected to be online by the end of 2027, and four, our financing engine has taken a significant leap forward, unlocking new sources of capital across markets at a lower weighted average cost, enabling CoreWeave to secure more than $20 billion of debt and equity year to date.

Michael Intrator: 3, we have reached hyperscale with more than 3.5 GW of contracted power, up more than 400 MW this quarter alone, with the substantial majority expected to be online by the end of 2027. 4, our financing engine has taken a significant leap forward, unlocking new sources of capital across markets at a lower weighted average cost, enabling CoreWeave to secure more than $20 billion of debt and equity year to date.

Speaker #3: Beginning with the demand environment, CoreWeave's addressable market is expanding and customers are choosing our platform for the long term. AI workloads are moving from training to inference, agents, and enterprise production across industries.

Mike Intrator: Beginning with the demand environment, CoreWeave's addressable market is expanding and customers are choosing our platform for the long term. AI workloads are moving from training to inference, agents, and enterprise production across industries, which is increasingly compute-intensive. As a result, our core customers, historically hyperscalers and foundation labs, are deepening their commitment to us, while an entirely new wave of enterprises are arriving and demanding access to CoreWeave's platform at scale. This trend drove record revenue backlog additions in Q1 as we signed our initial Vera Rubin deals while continuing to monetize our Blackwell, Hopper, and Ampere capacity. These new customer commitments mostly contribute towards our 2027 targets. Importantly, we expect them to be highly contribution margin positive and consistent with return profiles we have historically underwritten for new deployments.

Michael Intrator: Beginning with the demand environment, CoreWeave's addressable market is expanding and customers are choosing our platform for the long term. AI workloads are moving from training to inference, agents, and enterprise production across industries, which is increasingly compute-intensive. As a result, our core customers, historically hyperscalers and foundation labs, are deepening their commitment to us, while an entirely new wave of enterprises are arriving and demanding access to CoreWeave's platform at scale.

Speaker #3: Which is increasingly compute-intensive. As a result, our core customers historically hyperscalers and foundation labs are deepening their commitment to us. While an entirely new wave of enterprises are arriving and demanding access to CoreWeave's platform at scale.

Speaker #3: This trend drove record revenue backlog additions in Q1 as we signed our initial Vera Rubin deals. While continuing to monetize our Blackwell, Hopper, and Ampere capacity.

Michael Intrator: This trend drove record revenue backlog additions in Q1 as we signed our initial Vera Rubin deals while continuing to monetize our Blackwell, Hopper, and Ampere capacity. These new customer commitments mostly contribute towards our 2027 targets. Importantly, we expect them to be highly contribution margin positive and consistent with return profiles we have historically underwritten for new deployments.

Speaker #3: These new customer commitments mostly contribute towards our 2027 targets. Importantly, we expect them to be highly contribution-margin positive and consistent with return profiles we have historically underwritten for new deployments.

Speaker #3: In Q1, we added Anthropic, as a customer, to support the development and deployment of the Claude family of AI models. We also signed multiple new orders with Meta, including the $21 billion agreement announced in early April.

Mike Intrator: In Q1, we added Anthropic as a customer to support the development and deployment of the Claude family of AI models. We also signed multiple new orders with Meta, including the $21 billion agreement announced in early April. The world's four preeminent AI model developers now rely on CoreWeave Cloud, as do nine of the 10 AI leaders outside of China. At the same time, new verticals are emerging that have already reached billion-dollar-plus scale. Within financial services, technology-driven firms are scaling their core machine learning workloads with CoreWeave. These are not AI labs, but rather enterprise customers who see the tangible financial impact and attractive returns that come from adopting CoreWeave Cloud. This vertical is already approaching $10 billion in our revenue backlog, driven by expanded commitments from existing partners like Jane Street, who added $6 billion of capacity in Q1, and new customers like Hudson River Trading.

Michael Intrator: In Q1, we added Anthropic as a customer to support the development and deployment of the Claude family of AI models. We also signed multiple new orders with Meta, including the $21 billion agreement announced in early April. The world's four preeminent AI model developers now rely on CoreWeave Cloud, as do nine of the 10 AI leaders outside of China. At the same time, new verticals are emerging that have already reached billion-dollar-plus scale. Within financial services, technology-driven firms are scaling their core machine learning workloads with CoreWeave.

Speaker #3: The world's four preeminent AI model developers now rely on CoreWeave Cloud. As do nine of the 10 AI leaders outside of China. At the same time, new verticals are emerging that have already reached billion-dollar-plus scale.

Speaker #3: Within financial services, technology-driven firms are scaling their core machine learning workloads with CoreWeave. These are not AI labs, but rather enterprise customers who see the tangible financial impact and attractive returns that come from adopting CoreWeave Cloud.

Michael Intrator: These are not AI labs, but rather enterprise customers who see the tangible financial impact and attractive returns that come from adopting CoreWeave Cloud. This vertical is already approaching $10 billion in our revenue backlog, driven by expanded commitments from existing partners like Jane Street, who added $6 billion of capacity in Q1, and new customers like Hudson River Trading.

Speaker #3: This vertical is already approaching $10 billion in our revenue backlog. Driven by expanded commitments from existing partners like Jane Street, who added $6 billion of capacity in Q1.

Speaker #3: And new customers like Hudson River Trading. Physical AI and spatial computing has also surpassed $1 billion, in revenue backlog contributions. Companies pushing the frontier of world models: robotics, autonomous driving, and scientific discovery are choosing CoreWeave because of our unique combination of performance, specialized infrastructure, and developer tools that accelerate training and deployments.

Mike Intrator: Physical AI and spatial computing has also surpassed $1 billion in revenue backlog contributions. Companies pushing the frontier of world models, robotics, autonomous driving, and scientific discovery are choosing CoreWeave because of our unique combination of performance, specialized infrastructure, and developer tools that accelerate training and deployments. Recent new customers include World Labs, PhysicsX, and Sunday Robotics. Taken together with our focused execution, these dynamics are driving CoreWeave's customer diversification. Today, we have 10 customers committed to spending at least $1 billion with CoreWeave. Serving this breadth of customers and workloads requires a mix of new and prior generations of NVIDIA GPUs as inference demand skyrockets and agents enter the workforce. As a result, demand is accelerating across the board. Average pricing for the A100s, H100s, H200s, and L40s all increased quarter over quarter, and we remain largely sold out for near-term capacity across our fleet.

Michael Intrator: Physical AI and spatial computing has also surpassed $1 billion in revenue backlog contributions. Companies pushing the frontier of world models, robotics, autonomous driving, and scientific discovery are choosing CoreWeave because of our unique combination of performance, specialized infrastructure, and developer tools that accelerate training and deployments. Recent new customers include World Labs, PhysicsX, and Sunday Robotics.

Speaker #3: Recent new customers include world labs, physics X, and Sunday Robotics. Taken together, with our focused execution, these dynamics are driving CoreWeave's customer diversification. Today, we have 10 customers committed to spending at least $1 billion with CoreWeave.

Michael Intrator: Taken together with our focused execution, these dynamics are driving CoreWeave's customer diversification. Today, we have 10 customers committed to spending at least $1 billion with CoreWeave. Serving this breadth of customers and workloads requires a mix of new and prior generations of NVIDIA GPUs as inference demand skyrockets and agents enter the workforce. As a result, demand is accelerating across the board. Average pricing for the A100s, H100s, H200s, and L40s all increased quarter over quarter, and we remain largely sold out for near-term capacity across our fleet.

Speaker #3: Serving this breadth of customers and workloads requires a mix of new and prior generations of NVIDIA GPUs as inference demand skyrockets and agents enter the workforce.

Speaker #3: As a result, demand is accelerating across the board. Average pricing for the A100s, H100s, H200s, and L40s all increased quarter over quarter. And we remain largely sold out for near-term capacity across our fleet.

Speaker #3: This validates what we have long believed: demand for inference-ready compute across generations of GPUs is compounding. We expect this will be durable and accretive to our long-term margins and earnings power.

Mike Intrator: This validates what we have long believed. Demand for inference-ready compute across generations of GPUs is compounding. We expect this will be durable and accretive to our long-term margins and earnings power. The scale and quality of demand deserves a moment of context. Inference is the monetization of AI, and its acceleration is driving real-world productivity gains that are justifying increased investment and broader enterprise adoption. As a result, we added more backlog in a single quarter than most AI cloud platforms have in their history. Moving on to CoreWeave's cloud platform. We are deliberately strengthening our integrated stack to deliver the most capable AI cloud. CoreWeave empowers researchers, developers, and platform engineers to rapidly iterate across training, inference, and agentic workloads, accelerating the journey from experimentation to production at scale. As we do, we are introducing new capabilities to ensure enterprise customers can build on CoreWeave.

Michael Intrator: This validates what we have long believed. Demand for inference-ready compute across generations of GPUs is compounding. We expect this will be durable and accretive to our long-term margins and earnings power. The scale and quality of demand deserves a moment of context. Inference is the monetization of AI, and its acceleration is driving real-world productivity gains that are justifying increased investment and broader enterprise adoption. As a result, we added more backlog in a single quarter than most AI cloud platforms have in their history.

Speaker #3: The scale and quality of demand deserves a moment of context. Inference is the monetization of AI, and its acceleration is driving real-world productivity gains that are justifying increased investment and broader enterprise adoption.

Speaker #3: As a result, we added more backlog in a single quarter than most AI cloud platforms have in their history. Moving on to CoreWeave's cloud platform.

Michael Intrator: Moving on to CoreWeave's cloud platform. We are deliberately strengthening our integrated stack to deliver the most capable AI cloud. CoreWeave empowers researchers, developers, and platform engineers to rapidly iterate across training, inference, and agentic workloads, accelerating the journey from experimentation to production at scale. As we do, we are introducing new capabilities to ensure enterprise customers can build on CoreWeave.

Speaker #3: We are deliberately strengthening our integrated stack to deliver the most capable AI cloud. CoreWeave empowers researchers, developers, and platform engineers to rapidly iterate across training, inference, and agentic workloads, accelerating the journey from experimentation to production at scale.

Speaker #3: As we do, we are introducing new capabilities to ensure enterprise customers can build on CoreWeave. For example, in Q1, we introduced CoreWeave's Trust Center, to allow enterprises to productize AI quickly and efficiently without compromising their security or compliance standards.

Mike Intrator: For example, in Q1, we introduced CoreWeave's Trust Center to allow enterprises to productize AI quickly and efficiently without compromising their security or compliance standards. Customers rely on CoreWeave for our fully integrated set of AI cloud capabilities, not just GPUs. To unlock the full potential of accelerated computing, they need CPUs, storage, networking, software solutions, and developer tools working together across every layer. Today, more than 90% of our reserved instance customers use at least two of our products, while more than 75% use three or more. Our storage business continues to multiply quickly. We are also seeing similar trajectories in our software, CPU, and networking businesses, each of which we expect to exceed 100 million of ARR by the end of this year. It is inspiring to see how customers are leveraging these products to innovate.

Michael Intrator: For example, in Q1, we introduced CoreWeave's Trust Center to allow enterprises to productize AI quickly and efficiently without compromising their security or compliance standards. Customers rely on CoreWeave for our fully integrated set of AI cloud capabilities, not just GPUs. To unlock the full potential of accelerated computing, they need CPUs, storage, networking, software solutions, and developer tools working together across every layer.

Speaker #3: Customers rely on CoreWeave for our fully integrated set of AI cloud capabilities. Not just GPUs, to unlock the full potential of accelerated computing, they need CPUs, storage, networking, software solutions, and developer tools working together across every layer.

Speaker #3: Today, more than 90% of our reserved instance customers use at least two of our products, while more than 75% use three or more. Our storage business continues to multiply quickly.

Michael Intrator: Today, more than 90% of our reserved instance customers use at least two of our products, while more than 75% use three or more. Our storage business continues to multiply quickly. We are also seeing similar trajectories in our software, CPU, and networking businesses, each of which we expect to exceed 100 million of ARR by the end of this year. It is inspiring to see how customers are leveraging these products to innovate.

Speaker #3: We are also seeing similar trajectories in our software, CPU, and networking businesses, each of which we expect to exceed $100 million of ARR by the end of the year.

Speaker #3: It is inspiring to see how customers are leveraging these products to innovate. For example, Perplexity, will power its next generation of inference workloads on CoreWeave's platform.

Mike Intrator: For example, Perplexity will power its next generation of inference workloads on CoreWeave's platform while also leveraging Weights & Biases to help train, fine-tune, and manage their models. Meanwhile, Advaita Bio is using CoreWeave to accelerate pathways and single-cell analysis on large-scale biological datasets, compressing workflows that previously took weeks into minutes. As we scale, we are offering customers greater flexibility in how they consume compute. In Q1, we introduced flex reservation and spot pricing, revolutionizing how customers manage peak demand and unpredictable bursts, allowing them to budget more effectively while taking advantage of larger preemption windows CoreWeave provides. Both offerings were immediately oversubscribed. We are also making cross-cloud AI easier for customers while ensuring CoreWeave becomes the critical cloud partner.

Michael Intrator: For example, Perplexity will power its next generation of inference workloads on CoreWeave's platform while also leveraging Weights & Biases to help train, fine-tune, and manage their models. Meanwhile, Advaita Bio is using CoreWeave to accelerate pathways and single-cell analysis on large-scale biological datasets, compressing workflows that previously took weeks into minutes. As we scale, we are offering customers greater flexibility in how they consume compute.

Speaker #3: While also leveraging weights and biases to help train, fine-tune, and manage their models. Meanwhile, AdVita Bio, is using CoreWeave to accelerate pathways and single-cell analysis on large-scale biological datasets.

Speaker #3: Compressing workflows that previously took weeks into minutes. As we scale, we are offering customers greater flexibility in how they consume compute. In Q1, we introduced FlexReservation and Spot Pricing, revolutionizing how customers manage peak demand and unpredictable bursts.

Michael Intrator: In Q1, we introduced flex reservation and spot pricing, revolutionizing how customers manage peak demand and unpredictable bursts, allowing them to budget more effectively while taking advantage of larger preemption windows CoreWeave provides. Both offerings were immediately oversubscribed. We are also making cross-cloud AI easier for customers while ensuring CoreWeave becomes the critical cloud partner.

Speaker #3: Allowing them to budget more effectively while taking advantage of larger preemption windows CoreWeave provides. Both offerings were immediately oversubscribed. We are also making cross-cloud AI easier for customers.

Speaker #3: While ensuring CoreWeave becomes the critical cloud partner, building upon the momentum of CoreWeave's AI object storage and our zero egress offerings, we recently announced CoreWeave Interconnect in collaboration with Google Cloud.

Mike Intrator: Building upon the momentum of CoreWeave AI Object Storage and our zero egress offerings, we recently announced CoreWeave Interconnect in collaboration with Google Cloud, in addition to SUNK Anywhere and LOTA Cross-Cloud. These aim to remove the friction of managing a multi-cloud footprint, making it simpler and faster for organizations to run workloads anywhere, and are already proving to be highly effective at capturing increased wallet share. To meet customers where they are, we are beginning to offer CoreWeave Omni, enabling us to deploy and operate our full cloud stack in customers' own data centers with their GPUs. Early interest is strong across potential cloud, enterprise, and sovereign customers, and we look forward to sharing updates as it comes to market. Taken together, these capabilities reflect a simple but powerful shift. Customers come to CoreWeave to build and deploy with us. Turning to execution.

Michael Intrator: Building upon the momentum of CoreWeave AI Object Storage and our zero egress offerings, we recently announced CoreWeave Interconnect in collaboration with Google Cloud, in addition to SUNK Anywhere and LOTA Cross-Cloud. These aim to remove the friction of managing a multi-cloud footprint, making it simpler and faster for organizations to run workloads anywhere, and are already proving to be highly effective at capturing increased wallet share.

Speaker #3: In addition to sunk-anywhere, and LLaDA, cross-cloud. These aim to remove the friction of managing a multi-cloud footprint, making it simpler and faster for organizations to run workloads anywhere.

Speaker #3: And are already proving to be highly effective at capturing increased wallet share. And to meet customers where they are, we are beginning to offer CoreWeave Omni, enabling us to deploy and stack in customers' own data centers with their GPUs.

Michael Intrator: To meet customers where they are, we are beginning to offer CoreWeave Omni, enabling us to deploy and operate our full cloud stack in customers' own data centers with their GPUs. Early interest is strong across potential cloud, enterprise, and sovereign customers, and we look forward to sharing updates as it comes to market. Taken together, these capabilities reflect a simple but powerful shift. Customers come to CoreWeave to build and deploy with us. Turning to execution.

Speaker #3: Early interest is strong across potential cloud, enterprise, and sovereign customers. And we look forward to sharing updates as it comes to market. Taken together, these capabilities reflect a simple but powerful shift.

Speaker #3: Customers come to CoreWeave to build and deploy with us. Turning to execution. We convert scarce AI infrastructure into revenue-generating AI cloud capacity quickly, reliably, and profitably.

Mike Intrator: We convert scarce AI infrastructure into revenue-generating AI cloud capacity quickly, reliably, and profitably. CoreWeave surpassed 1 GW of active power this quarter. We remain firmly on track to reach or exceed our target of more than 1.7 GW by the end of 2026. We are one of only a handful of cloud platforms in history to reach this scale, and we are the only one that is purpose-built for AI. Each new build-out is complex with 5 phases: power, cooling, networking, servers, and the software orchestration layer. We have navigated this complexity across close to 50 data centers, consistently delivering best-in-class dock-to-live times for customers. CoreWeave views these build-outs as investments in the communities that host them, and we work to earn our place in the regions we operate. Our facilities serve as anchors for regional economic activity that compounds over time.

Michael Intrator: We convert scarce AI infrastructure into revenue-generating AI cloud capacity quickly, reliably, and profitably. CoreWeave surpassed 1 GW of active power this quarter. We remain firmly on track to reach or exceed our target of more than 1.7 GW by the end of 2026. We are one of only a handful of cloud platforms in history to reach this scale, and we are the only one that is purpose-built for AI.

Speaker #3: CoreWeave surpassed 1 gigawatt of active power this quarter. We remain firmly on track to reach or exceed our target of more than 1.7 gigawatts by the end of 2026.

Speaker #3: We are one of only a handful of cloud platforms in history to reach this scale. And we are the only one that is purpose-built for AI.

Speaker #3: Each new buildout is complex with five phases, power, cooling, networking, servers, and the software orchestration layer. We have navigated this complexity across close to 50 data centers, consistently delivering best-in-class dock-to-live times for customers.

Michael Intrator: Each new build-out is complex with 5 phases: power, cooling, networking, servers, and the software orchestration layer. We have navigated this complexity across close to 50 data centers, consistently delivering best-in-class dock-to-live times for customers. CoreWeave views these build-outs as investments in the communities that host them, and we work to earn our place in the regions we operate. Our facilities serve as anchors for regional economic activity that compounds over time.

Speaker #3: CoreWeave views these buildouts as investments in the communities that host them. And we work to earn our place in the regions we operate. Our facilities serve as anchors for regional economic activity that compounds over time.

Speaker #3: Grid upgrades, workforce development, sustained local investment. Each project comes with its own set of unique opportunities and challenges. We approach every market we enter with that in mind.

Mike Intrator: Grid upgrades, workforce development, sustained local investment. Each project comes with its own set of unique opportunities and challenges. We approach every market we enter with that in mind, helping our team and partners broaden their expertise and execution capabilities for the next project. We added more than 400MW of contracted power in Q1, bringing our total contracted power to more than 3.5GW. We expect the substantial majority of this contracted power to come online by the end of 2027. We added this capacity entirely via long-term leases as data center partners and the financing markets recognize the unique combination of execution, technology, and contracted demand that defines our business. Looking ahead, we plan to continue to expand our contracted power footprint through leases while also accelerating our development of self-build sites, which will provide us with greater operational control and long-term financial upside.

Michael Intrator: Grid upgrades, workforce development, sustained local investment. Each project comes with its own set of unique opportunities and challenges. We approach every market we enter with that in mind, helping our team and partners broaden their expertise and execution capabilities for the next project. We added more than 400MW of contracted power in Q1, bringing our total contracted power to more than 3.5GW. We expect the substantial majority of this contracted power to come online by the end of 2027.

Speaker #3: Helping our team and partners broaden their expertise and execution capabilities for the next project. We added more than 400 megawatts of contracted power in Q1.

Speaker #3: Bringing our total contracted power to more than 3.5 gigawatts. We expect the substantial majority of this contracted power to come online by the end of 2027.

Speaker #3: We added this capacity entirely via long-term leases, as data center partners and the financing markets recognize the unique combination of execution, technology, and contracted demand that defines our business.

Michael Intrator: We added this capacity entirely via long-term leases as data center partners and the financing markets recognize the unique combination of execution, technology, and contracted demand that defines our business. Looking ahead, we plan to continue to expand our contracted power footprint through leases while also accelerating our development of self-build sites, which will provide us with greater operational control and long-term financial upside.

Speaker #3: Looking ahead, we plan to continue to expand our contracted power footprint through leases, while also accelerating our development of self-build sites which will provide us with greater operational control and long-term financial upside.

Speaker #3: We expect our first self-build site to come online later this year. Our lease and self-build strategies are further complemented by our strategic relationship with NVIDIA.

Mike Intrator: We expect our first self-build site to come online later this year. Our lease and self-build strategies are further complemented by our strategic relationship with NVIDIA, where we continue to evaluate opportunities to accelerate the expansion of our footprint together. Our multifaceted approach uniquely positions CoreWeave to grow in a highly competitive market. Finally, touching on our financing approach. In Q1, we reached a transformational milestone that will drive CoreWeave's weighted average cost of capital lower, closing our $8.5 billion delayed draw term loan 4.0 facility. While Nitin will speak to our broader success in the capital markets, I wanted to highlight a few elements of this specific facility. This is the first ever investment-grade delayed draw term loan backed by HPC infrastructure, achieving an A- equivalent rating from Moody's, Fitch, and DBRS. The facility was non-recourse to the parent.

Michael Intrator: We expect our first self-build site to come online later this year. Our lease and self-build strategies are further complemented by our strategic relationship with NVIDIA, where we continue to evaluate opportunities to accelerate the expansion of our footprint together. Our multifaceted approach uniquely positions CoreWeave to grow in a highly competitive market. Finally, touching on our financing approach.

Speaker #3: Where we continue to evaluate opportunities to accelerate the expansion of our footprint together. Our multifaceted approach uniquely positions CoreWeave to grow in a highly competitive market.

Speaker #3: Finally, touching on our financing approach. In Q1, we reached a transformational milestone that will drive CoreWeave's weighted average cost of capital lower. Closing our $8.5 billion delayed draw term loan for a $4.0 billion facility.

Michael Intrator: In Q1, we reached a transformational milestone that will drive CoreWeave's weighted average cost of capital lower, closing our $8.5 billion delayed draw term loan 4.0 facility. While Nitin will speak to our broader success in the capital markets, I wanted to highlight a few elements of this specific facility. This is the first ever investment-grade delayed draw term loan backed by HPC infrastructure, achieving an A- equivalent rating from Moody's, Fitch, and DBRS. The facility was non-recourse to the parent.

Speaker #3: While Nitin will speak to our broader success in the capital markets, I wanted to highlight a few elements of this specific facility. This is the first-ever investment-grade delayed draw term loan backed by HPC infrastructure.

Speaker #3: Achieving an A-minus equivalent rating from Moody's, Fitch, and DBRS. The facility was non-recourse to the parent. The transaction which was well oversubscribed was priced at a level implying a cost of less than 6%.

Mike Intrator: The transaction, which was well oversubscribed, was priced at a level implying a cost of less than 6%. With this financing, we have taken an important step towards accomplishing our stated goal of driving our cost of debt to investment grade. This is not an incremental improvement. This is a structural shift in how we expect to finance investment-grade customer contracts going forward in what is among the deepest parts of the capital markets. As a reminder, we have already reduced our weighted average cost of debt by approximately 600 basis points from 2023 to 2025.

Michael Intrator: The transaction, which was well oversubscribed, was priced at a level implying a cost of less than 6%. With this financing, we have taken an important step towards accomplishing our stated goal of driving our cost of debt to investment grade. This is not an incremental improvement. This is a structural shift in how we expect to finance investment-grade customer contracts going forward in what is among the deepest parts of the capital markets. As a reminder, we have already reduced our weighted average cost of debt by approximately 600 basis points from 2023 to 2025.

Speaker #3: With this financing, we have taken an important step towards accomplishing our stated goal of driving our cost of debt to investment grade. This is not an incremental improvement.

Speaker #3: This is a structural shift in how we expect to finance investment-grade customer contracts going forward. In what is among the deepest parts of the capital markets.

Speaker #3: As a reminder, we had already reduced our weighted average cost of debt by approximately $600 basis points from 2023 to 2025. As of today, we have further compressed our weighted average cost of debt by approximately $80 basis points year to date.

Mike Intrator: As of today, we have further compressed our weighted average cost of debt by approximately 80 basis points year to date while securing more than $20 billion of debt and equity capital, de-risking our execution plan and positioning CoreWeave for continued hypergrowth. Before I turn it to Nitin, I wanted to reiterate that we have been building this company against a clear set of defined objectives. 1, continue to deliver the most technically advanced cloud platform for AI workloads, empowering our customers to innovate, build and deploy. 2, diversify and grow our customer base. 3, deliver best-in-class execution at hyperscale. Finally, position our capital structure to scale with the opportunity. Our backlog is now approaching $100 billion, all tied to contracts that are either online today or expected to begin to come online through 2026 and 2027.

Michael Intrator: As of today, we have further compressed our weighted average cost of debt by approximately 80 basis points year to date while securing more than $20 billion of debt and equity capital, de-risking our execution plan and positioning CoreWeave for continued hypergrowth. Before I turn it to Nitin, I wanted to reiterate that we have been building this company against a clear set of defined objectives. 1, continue to deliver the most technically advanced cloud platform for AI workloads, empowering our customers to innovate, build and deploy.

Speaker #3: While securing more than $20 billion of debt and equity capital. De-risking our execution plan and positioning CoreWeave for continued hypergrowth. Before I turn it to Nitin, I wanted to reiterate that we have been building this company against a clear set of defined objectives.

Speaker #3: One, continue to deliver the most technically advanced cloud platform for AI workloads in powering our customers to innovate, build, and deploy. Two, diversify and grow our customer base.

Michael Intrator: 2, diversify and grow our customer base. 3, deliver best-in-class execution at hyperscale. Finally, position our capital structure to scale with the opportunity. Our backlog is now approaching $100 billion, all tied to contracts that are either online today or expected to begin to come online through 2026 and 2027.

Speaker #3: Third, deliver best-in-class execution at hyperscale, and finally, position our capital structure to scale with the opportunity. Our backlog is now approaching $100 billion, all tied to contracts that are either online today or expected to begin to come online through 2026 and 2027.

Speaker #3: We have built a diversified customer base that includes each of the world's leading model platforms and extends to large enterprises across industries that represent tens of billions of market opportunity and growth.

Mike Intrator: We have built a diversified customer base that includes each of the world's leading model platforms and extends to large enterprises across industries that represent tens of billions of market opportunity and growth. We have moved beyond just GPUs to deliver an integrated AI cloud platform for our customers who are rapidly adopting our CPU, storage, networking, and software solutions. Active power now exceeds 1GW, and our contracted power is more than 3.5GW, leaving us strongly positioned to meet our goal of reaching more than 8GW of active power by 2030. We are continuing to innovate in the capital markets, executing the first investment grade-rated financing ever secured by HPC infrastructure and defining a new asset class along the way. Each of these makes the business more durable.

Michael Intrator: We have built a diversified customer base that includes each of the world's leading model platforms and extends to large enterprises across industries that represent tens of billions of market opportunity and growth. We have moved beyond just GPUs to deliver an integrated AI cloud platform for our customers who are rapidly adopting our CPU, storage, networking, and software solutions.

Speaker #3: We have moved beyond just GPUs to deliver an integrated AI cloud platform for our customers who are rapidly adopting our CPU, storage, networking, and software solutions.

Speaker #3: Active Power now exceeds 1 gigawatt. And our contracted power is more than 3.5 gigawatts. Leaving us strongly positioned to meet our goal of reaching more than 8 gigawatts of active power by 2030.

Michael Intrator: Active power now exceeds 1GW, and our contracted power is more than 3.5GW, leaving us strongly positioned to meet our goal of reaching more than 8GW of active power by 2030. We are continuing to innovate in the capital markets, executing the first investment grade-rated financing ever secured by HPC infrastructure and defining a new asset class along the way. Each of these makes the business more durable.

Speaker #3: And we are continuing to innovate in the capital markets executing the first investment-grade rated financing ever secured by HPC infrastructure. And defining a new asset class along the way.

Speaker #3: Each of these makes the business more durable. Each of them compounds. And each of them is a building block for our next stage of growth.

Mike Intrator: Each of them compounds, and each of them is a building block for our next stage of growth. The constraint in AI is no longer whether enterprises and AI labs want to deploy. It is how quickly high-performance, reliable AI cloud capacity can be delivered. That is what CoreWeave does best. With that, I'll turn it over to Nitin.

Michael Intrator: Each of them compounds, and each of them is a building block for our next stage of growth. The constraint in AI is no longer whether enterprises and AI labs want to deploy. It is how quickly high-performance, reliable AI cloud capacity can be delivered. That is what CoreWeave does best. With that, I'll turn it over to Nitin.

Speaker #3: The constraint in AI is no longer whether enterprises and AI labs want to deploy. It is how quickly high-performance reliable AI cloud capacity can be delivered.

Speaker #3: That is what CoreWeave does best. With that, I'll turn it over to Nitin.

Speaker #2: Thanks, Mike. And good afternoon, everyone. Human marks another historic quarter for CoreWeave. Record customer commitments bringing backlog to nearly $100 billion. More than $2 billion of quarterly revenue.

Nitin Agrawal: Thanks, Mike, and good afternoon, everyone. Q1 marks another historic quarter for CoreWeave. Record customer commitments, bringing backlog to nearly 100 billion, more than 2 billion of quarterly revenue, and more than 1 gigawatt of active power while unlocking deeper, more efficient sources of financing. We are delivering precisely in line with the roadmap we laid out on our last earnings call, diversifying and growing with customers, signing customer contracts with attractive and consistent margins, bringing new capacity online rapidly, and expanding our purpose-built AI cloud platform. Demand for CoreWeave cloud is accelerating, and we remain largely sold out of our 2026 capacity, with prices increasing across the board from Ampere to Hopper to Blackwell. We are seeing this extend into 2027 as well as we've begun allocating capacity we expect to come online next year. Turning to Q1 results.

Speaker #2: And more than 1 gigawatt of active power. While unlocking deeper, more efficient sources of financing. We are delivering precisely in line with the roadmap we laid out on our last earnings call.

Nitin Agrawal: We are delivering precisely in line with the roadmap we laid out on our last earnings call, diversifying and growing with customers, signing customer contracts with attractive and consistent margins, bringing new capacity online rapidly, and expanding our purpose-built AI cloud platform. Demand for CoreWeave cloud is accelerating, and we remain largely sold out of our 2026 capacity, with prices increasing across the board from Ampere to Hopper to Blackwell. We are seeing this extend into 2027 as well as we've begun allocating capacity we expect to come online next year. Turning to Q1 results.

Speaker #2: Diversifying and growing with customers. Signing customer contracts with attractive and consistent margins. Bringing new capacity online rapidly. And expanding our purpose-built AI cloud platform.

Speaker #2: Demand for CoreWeave Cloud is accelerating. And we remain largely sold out of our 2026 capacity with prices increasing across the board from Ampere to Hopper to Blackwell.

Speaker #2: We are seeing this extend into 2027 as well. As we've begun allocating capacity we expect to come online next year. Turning to Q1 results.

Speaker #2: Revenue was $2.1 billion. In Q1, up $112% year over year. And $32% sequentially. Driven by continued strong execution in deploying our capacity. Demand for CoreWeave Cloud continues to intensify.

Nitin Agrawal: Revenue was $2.1 billion in Q1, up 112% year over year and 32% sequentially, driven by continued strong execution in deploying our capacity. Demand for CoreWeave Cloud continues to intensify. Revenue backlog for the quarter ended at $99.4 billion, up nearly 50% sequentially and close to 4x year over year. This revenue backlog is near-term weighted with 36% expected to be recognized in the next 24 months and 75% in the next 4 years. With enterprise adoption intensifying and our customer base diversifying, commitments from non-investment grade AI native companies and foundation labs now represents less than 30% of our overall backlog. Customers continue to commit their foundational AI workloads to CoreWeave, resulting in weighted average contract length for new capacity remaining at approximately 5 years.

Speaker #2: Revenue backlog for the quarter ended at $99.4 billion. Up nearly 50% sequentially. And close to 4x year over year. This revenue backlog is near-term weighted.

Nitin Agrawal: This revenue backlog is near-term weighted with 36% expected to be recognized in the next 24 months and 75% in the next 4 years. With enterprise adoption intensifying and our customer base diversifying, commitments from non-investment grade AI native companies and foundation labs now represents less than 30% of our overall backlog. Customers continue to commit their foundational AI workloads to CoreWeave, resulting in weighted average contract length for new capacity remaining at approximately 5 years.

Speaker #2: With $36% expected to be recognized in the next 24 months and $75% in the next four years. With enterprise adoption intensifying, and our customer base diversifying, commitments from non-investment-grade AI-native companies and foundation labs now represent less than 30% of our overall backlog.

Speaker #2: Customers continue to commit their foundational AI workloads to CoreWeave, resulting in weighted average contract length for new capacity remaining at approximately five years. Operating expenses in the first quarter were $2.2 billion, including stock-based compensation expense of $153 million.

Nitin Agrawal: Operating expenses in Q1 were $2.2 billion, including stock-based compensation expense of $153 million. The increase in our operating expenses was a direct result of continuing to scale our active power capacity, converting backlog into revenue. This drove the corresponding increases in our cost of revenue and technology and infrastructure spend. In addition, the increase in sales and marketing was driven by increased investment in our go-to-market organization as we further diversify our customer base and expand into new products and markets. G&A increased, driven by personnel costs to support our growth while moderating relative to revenue growth on a quarter-on-quarter basis. Adjusted EBITDA for Q1 was $1.2 billion, compared to $606 million in Q1 of 2025, growing 91% year over year. Our adjusted EBITDA margin was 56%.

Speaker #2: The increase in our operating expenses was a direct result of continuing to scale our active power capacity converting backlog into revenue. This drove the corresponding increases in our cost of revenue and technology and infrastructure spend.

Speaker #2: In addition, the increase in sales and marketing was driven by increased investment in our go-to-market organization as we further diversify our customer base and expand into new products and markets.

Nitin Agrawal: In addition, the increase in sales and marketing was driven by increased investment in our go-to-market organization as we further diversify our customer base and expand into new products and markets. G&A increased, driven by personnel costs to support our growth while moderating relative to revenue growth on a quarter-on-quarter basis. Adjusted EBITDA for Q1 was $1.2 billion, compared to $606 million in Q1 of 2025, growing 91% year over year. Our adjusted EBITDA margin was 56%.

Speaker #2: G&A increased, driven by personnel cost to support our growth, while moderating relative to revenue growth on a quarter-on-quarter basis. Adjusted EBITDA for Q1 was $1.2 billion, compared to $606 million in Q1 of 2025.

Speaker #2: Growing 91% year over year. Our adjusted EBITDA margin was 56%. Adjusted operating income for Q1 was $21 million, compared to $163 million in Q1 of 2025.

Nitin Agrawal: Adjusted operating income for Q1 was $21 million, compared to $163 million in Q1 of 2025, just above the midpoint of our guidance. Our Q1 adjusted operating margin was 1%, which we continue to expect to be its low point as cloud capacity further ramps in coming quarters. Net loss for Q1 was $740 million compared to a net loss of $315 million in Q1 of 2025. Interest expense for Q1 was $536 million compared to $264 million in Q1 of 2025, driven by increased debt to support the continued scaling of our infrastructure and delivery of our contracted customer commitments. We recorded an income tax provision despite a net loss due to valuation allowance on net deferred tax assets.

Speaker #2: Just above the midpoint of our guidance. Our Q1 adjusted operating margin was 1%, which we continue to expect to be its low point as cloud capacity further ramps in coming quarters.

Speaker #2: Net loss for Q1 was $740 million, compared to a net loss of $315 million in Q1 of 2025. Interest expense for Q1 was $536 million, compared to $264 million in Q1 of 2025.

Nitin Agrawal: Interest expense for Q1 was $536 million compared to $264 million in Q1 of 2025, driven by increased debt to support the continued scaling of our infrastructure and delivery of our contracted customer commitments. We recorded an income tax provision despite a net loss due to valuation allowance on net deferred tax assets.

Speaker #2: Driven by increased debt to support the continued scaling of our infrastructure and delivery of our contracted customer commitments. We recorded an income tax provision despite a net loss due to valuation allowance on net deferred tax assets.

Speaker #2: Absent significant discrete items, or a change in circumstances, our tax rate should remain broadly consistent over 2026. Adjusted net loss for Q1 was $589 million, compared to $150 million in Q1 of 2025.

Nitin Agrawal: Absent significant discrete items or a change in circumstances, our tax rate should remain broadly consistent over 2026. Adjusted net loss for Q1 was $589 million compared to $150 million in Q1 of 2025. Turning to capital expenditures. CapEx in Q1 totaled $6.8 billion as we continued to execute on schedule. Construction in progress, CIP, remained roughly unchanged sequentially. As a reminder, construction in progress represents infrastructure not yet in service and not yet being depreciated. When these assets come into service, they drive incremental revenue and corresponding depreciation. Our financing structure is designed to match this deployment model. Large majority of our term debt is structured as delayed draw facilities, meaning capital is only drawn as the data centers are operationalized.

Speaker #2: Turning to capital expenditures. CapEx in Q1 totaled $6.8 billion, as we continue to execute on schedule. Construction in progress, CIP, remained roughly unchanged sequentially.

Speaker #2: As a reminder, construction in progress represents infrastructure not yet in service and not yet being depreciated. When these assets come into service, they drive incremental revenue and corresponding depreciation.

Nitin Agrawal: As a reminder, construction in progress represents infrastructure not yet in service and not yet being depreciated. When these assets come into service, they drive incremental revenue and corresponding depreciation. Our financing structure is designed to match this deployment model. Large majority of our term debt is structured as delayed draw facilities, meaning capital is only drawn as the data centers are operationalized.

Speaker #2: Our financing structure is designed to match this deployment model. Large majority of our term debt is structured as delayed draw facilities, meaning capital is only drawn as the data centers are operationalized.

Speaker #2: While global supply chain remains complex, we continue to navigate these challenges with operational discipline, leveraging our partner relationships to strategically source required inputs. Turning to our balance sheet and strong liquidity position, as of March 31st, we had more than $3.3 billion in cash, cash equivalents, restricted cash, and marketable securities.

Nitin Agrawal: While global supply chain remains complex, we continue to navigate these challenges with operational discipline, leveraging our partner relationships to strategically source required inputs. Turning to our balance sheet and strong liquidity position. As of 31 March, we had more than $3.3 billion in cash equivalents, restricted cash, and marketable securities. Since the start of the year, we have made significant progress in strengthening our balance sheet and expanding the depth and breadth of our access to capital. Our success is grounded in the principle that the capital we raise is tied to customer demand. That mindset has informed the business since its inception and has proven critical in our ability to efficiently scale our access to capital. In Q1, we raised $2 billion of equity in connection with the expansion of our relationship with NVIDIA.

Speaker #2: Since the start of the year, we have made significant progress in strengthening our balance sheet and expanding the depth and breadth of our access to capital.

Speaker #2: Our success is grounded in the principle that the capital we raise is tied to customer demand. That mindset has informed the business since its inception and has proven critical in our ability to efficiently scale our access to capital.

Nitin Agrawal: Our success is grounded in the principle that the capital we raise is tied to customer demand. That mindset has informed the business since its inception and has proven critical in our ability to efficiently scale our access to capital. In Q1, we raised $2 billion of equity in connection with the expansion of our relationship with NVIDIA.

Speaker #2: In Q1, we raised $2 billion of equity in connection with the expansion of our relationship with Nvidia. We also secured approximately $8.5 billion of investment-grade debt via our fourth delayed draw term loan, which was a seminal transaction for CoreWeave.

Nitin Agrawal: We also secured approximately $8.5 billion of investment-grade debt via our fourth delayed draw term loan, which was a seminal transaction for CoreWeave. As Mike mentioned, DDTL 4.0 marked the first ever investment grade-rated HPC infrastructure-backed debt facility, receiving an A- equivalent rating from three independent rating agencies. Not only did we price the facility at an implied rate of less than 6%, a meaningful decrease from our previous facilities, we also introduced an ABS-style draw feature, unlocking an additional $1 billion of drawable capital upon stabilization of the underlying contract. We can use this incremental capital to help fund future investments for the delivery of subsequent capacity at a highly attractive price. Further, DDTL 4.0 was structured as non-recourse, allowing us to create a facility that offered enhanced capacity and improved pricing without impacting CoreWeave Inc. and its lenders.

Speaker #2: As Mike mentioned, GDTL 4.0 marked the first-ever investment-grade rated HPC infrastructure-backed debt facility receiving an A- equivalent rating from three independent rating agencies. Not only did we price the facility at an implied rate of less than 6%, a meaningful decrease from our previous facilities, we also introduced an ABS-style draw feature unlocking an additional $1 billion of drawable capital upon stabilization of the underlying contract.

Nitin Agrawal: Not only did we price the facility at an implied rate of less than 6%, a meaningful decrease from our previous facilities, we also introduced an ABS-style draw feature, unlocking an additional $1 billion of drawable capital upon stabilization of the underlying contract. We can use this incremental capital to help fund future investments for the delivery of subsequent capacity at a highly attractive price. Further, DDTL 4.0 was structured as non-recourse, allowing us to create a facility that offered enhanced capacity and improved pricing without impacting CoreWeave Inc. and its lenders.

Speaker #2: We can use this incremental capital to help fund future investments for the delivery of subsequent capacity at a highly attractive price. Further, GDTL 4.0 was structured as non-recourse, allowing us to create a facility that offered enhanced capacity and improved pricing without impacting CoreWeave, Inc., and its lenders.

Speaker #2: Overall, we expect this approach to become the new norm for CoreWeave when financing the build-out of capacity for investment-grade customers. This represents a substantial step forward in our ability to access capital at immense size and at rates competitive with the hyperscalers.

Nitin Agrawal: Overall, we expect this approach to become the new norm for CoreWeave when financing the build-out of capacity for investment-grade customers. This represents a substantial step forward in our ability to access capital at immense size and at rates competitive with the hyperscalers. As we entered Q2, we have built upon this momentum, securing more than $10 billion of additional debt and equity across several different transactions. Each of these was significantly oversubscribed, highlighting the overwhelming investor demand to participate in CoreWeave's hypergrowth. In fact, both of our recent convertible and high-yield offerings were upsized meaningfully due to investor interest. The $1 billion strategic investment we received from Jane Street highlights the value and differentiation our customers see in our platform. In conjunction with these raises, S&P also moved our corporate rating outlook from stable to positive.

Speaker #2: As we entered Q2, we have built upon this momentum, securing more than $10 billion of additional debt and equity across several different transactions. Each of these was significantly oversubscribed, highlighting the overwhelming investor demand to participate in CoreWeave's hypergrowth.

Nitin Agrawal: Each of these was significantly oversubscribed, highlighting the overwhelming investor demand to participate in CoreWeave's hypergrowth. In fact, both of our recent convertible and high-yield offerings were upsized meaningfully due to investor interest. The $1 billion strategic investment we received from Jane Street highlights the value and differentiation our customers see in our platform. In conjunction with these raises, S&P also moved our corporate rating outlook from stable to positive.

Speaker #2: In fact, both of our recent convertible and high-yield offerings were upsized meaningfully due to investor interest. While the $1 billion strategic investment we received from Jane Street highlights the value and differentiation our customers see in our platform.

Speaker #2: In conjunction with these raises, S&P also moved our corporate rating outlook from stable to positive. Yesterday, we priced our fifth GDTL facility, the first to be syndicated in the public loan markets, to finance contracts with OpenAI and Cohere.

Nitin Agrawal: Yesterday, we priced our fifth DDTL facility, the first to be syndicated in the public loan markets to finance contracts with OpenAI and Cohere. Again, investor appetite proved to be significant, allowing us to price the facility 50 bits inside our initial marketing range. Following this transaction, we have secured all financing required to deliver the entirety of our existing commitments with OpenAI. This transaction further underscores investor support for CoreWeave when financing investment-grade and AI lab customers alike. The combination of these transactions brings us to more than $20 billion of debt and equity capital secured year to date. Our broadening access to capital at lower blended cost will continue to be an important lever for CoreWeave as we convert backlog to revenue and operating cash flow and proactively manage our capital stack.

Speaker #2: Again, investor appetite proved to be significant, allowing us to price the facility 50 bips inside our initial marketing range. Following this transaction, we have secured all financing required to deliver the entirety of our existing commitments with OpenAI.

Speaker #2: This transaction further underscores investor support for CoreWeave, when financing investment-grade and AI lab customers alike. The combination of these transactions brings us to more than $20 billion of debt and equity capital secured year-to-date.

Nitin Agrawal: This transaction further underscores investor support for CoreWeave when financing investment-grade and AI lab customers alike. The combination of these transactions brings us to more than $20 billion of debt and equity capital secured year to date. Our broadening access to capital at lower blended cost will continue to be an important lever for CoreWeave as we convert backlog to revenue and operating cash flow and proactively manage our capital stack.

Speaker #2: Our broadening access to capital at lower blended cost will continue to be an important lever for CoreWeave as we convert backlog to revenue and operating cash flow.

Speaker #2: And proactively manage our capital stack. Accordingly, we have no debt maturities until 2029 other than self-amortizing contract-backed debt and OEM vendor financing. Turning to guidance, the strength of our Q1 results disciplined execution and continued momentum we are seeing across our customer base gives us confidence in reaffirming our full-year guidance of 12% to 13 billion of revenue and $900 million to $1.1 billion of adjusted operating income.

Nitin Agrawal: Accordingly, we have no debt maturities until 2029 other than self-amortizing contract-backed debt and OEM vendor financing. Turning to guidance. The strength of our Q1 results, disciplined execution, and continued momentum we are seeing across our customer base gives us confidence in reaffirming our full year guidance of $12 to 13 billion of revenue and $900 million to 1.1 billion of adjusted operating income. For Q2, we expect revenue in the range of $2.45 to 2.6 billion. We expect Q2 adjusted operating income of $30 to 90 million as margins start to expand from their Q1 lows, consistent with our previously discussed expectation. This margin dynamic is timing-based, not economic.

Speaker #2: For Q2, we expect revenue in the range of $2.45 to $2.6 billion, we expect Q2 adjusted operating income of $30 to $90 million, as margins start to expand from their Q1 lows consistent with our previously discussed expectation.

Nitin Agrawal: For Q2, we expect revenue in the range of $2.45 to 2.6 billion. We expect Q2 adjusted operating income of $30 to 90 million as margins start to expand from their Q1 lows, consistent with our previously discussed expectation. This margin dynamic is timing-based, not economic.

Speaker #2: This margin dynamic is timing-based, not economic. To provide some further detail here, upon receipt of a powered shell, we incur lease and power costs while depreciating server and other data center equipment during the fit-out process, which on average takes us about one to two months.

Nitin Agrawal: To provide some further detail here, upon receipt of a powered shell, we incur lease and power costs while depreciating server and other data center equipment during the fit-out process, which on average takes us about one to two months. During that period, we recognize costs but no revenue, causing these new deployments to run at negative contribution margins. By month three, however, we are typically generating revenue with contribution margins normalizing in the mid-20s. Since the beginning of 2025, we have almost tripled active power. At more than 1 gigawatt, we are rapidly approaching escape velocity and continue to expect adjusted operating margin to expand sequentially for the remainder of the year, returning to low double digits by Q4.

Speaker #2: During that period, we recognize costs but no revenue, causing these new deployments to run at negative contribution margins. By month three, however, we are typically generating revenue with contribution margins normalizing in the mid-20s.

Nitin Agrawal: By month three, however, we are typically generating revenue with contribution margins normalizing in the mid-20s. Since the beginning of 2025, we have almost tripled active power. At more than 1 gigawatt, we are rapidly approaching escape velocity and continue to expect adjusted operating margin to expand sequentially for the remainder of the year, returning to low double digits by Q4.

Speaker #2: Since the beginning of 2025, we have almost tripled active power, at more than one gigawatt, we are rapidly approaching escape velocity and continue to expect adjusted operating margin to expand sequentially for the remainder of the year returning to low double digits by Q4.

Speaker #2: Our Q2 interest expense is expected to be in the range of $650 million to $730 million, reflecting the growth in our debt balance to finance our accelerating deployments.

Nitin Agrawal: Our Q2 interest expense is expected to be in the range of $650 to 730 million, reflecting the growth in our debt balance to finance our accelerating deployments. We expect CapEx to be $7 to 9 billion as we continue to bring significant capacity online in service of our contracted revenue backlog. For the full year, we now expect CapEx of $31 to 35 billion. The increase on the low end from our previous guidance is related to increases in component pricing. The long-term nature of our contracted revenue backlog continues to provide us with clear visibility into 2026 and beyond, and we remain confident in the revenue and margin targets we have put forward. We now expect to end 2026 with $18 to 19 billion of annualized run rate revenue, increasing the low end of our expectations by $1 billion.

Speaker #2: We expect CapEx to be $7 to $9 billion as we continue to bring significant capacity online in service of our contracted revenue backlog. For the full year, we now expect CapEx of $31 to $35 billion.

Speaker #2: The increase on the low end from our previous guidance is related to increases in component pricing. The long-term nature of our contracted revenue backlog continues to provide us with clear visibility into 2026 and beyond, and we remain confident in the revenue and margin targets we have put forward.

Nitin Agrawal: The long-term nature of our contracted revenue backlog continues to provide us with clear visibility into 2026 and beyond, and we remain confident in the revenue and margin targets we have put forward. We now expect to end 2026 with $18 to 19 billion of annualized run rate revenue, increasing the low end of our expectations by $1 billion.

Speaker #2: We now expect to end 2026 with $18 to $19 billion of annualized run rate revenue, increasing the low end of our expectations by $1 billion.

Speaker #2: We continue to expect to grow annualized run rate revenue to more than $30 billion as we exit 2027. More than 75% of which is already contracted excluding any benefit from not yet exercised customer renewals.

Nitin Agrawal: We continue to expect to grow annualized run rate revenue to more than $30 billion as we exit 2027. More than 75% of which is already contracted, excluding any benefit from not yet exercised customer renewals. We have already secured sufficient power capacity to deliver on our 2027 target and expect to continue to add new capacity and customer commitments to further build on our incredibly strong foundation. With each quarter of execution, each megawatt delivered, each contract signed, and each new customer added, we are methodically executing against our long-term plan and building further conviction in our ability to meet or exceed our long-term revenue and margin targets. Q1 was a quarter of measurable progress. Revenue and backlog grew materially as we continue to add new blue-chip customers while growing with our existing partners. Our deployments continue to be profitable at the contract level.

Speaker #2: We have already secured sufficient power capacity to deliver on our 2027 target, and expect to continue to add new capacity and customer commitments to further build on our incredibly strong foundation.

Speaker #2: With each quarter of execution, each megawatt delivered, each contract signed, and each new customer added, we are methodically executing against our long-term plan and building further conviction in our ability to meet or exceed our long-term revenue and margin targets.

Nitin Agrawal: With each quarter of execution, each megawatt delivered, each contract signed, and each new customer added, we are methodically executing against our long-term plan and building further conviction in our ability to meet or exceed our long-term revenue and margin targets. Q1 was a quarter of measurable progress. Revenue and backlog grew materially as we continue to add new blue-chip customers while growing with our existing partners. Our deployments continue to be profitable at the contract level.

Speaker #2: Q1 was a quarter of measurable progress. Revenue and backlog grew materially as we continue to add new blue-chip customers while growing with our existing partners.

Speaker #2: Our deployments continue to be profitable at the contract level. While Q1 represented the trough of our margin trajectory, we remain on track for sequential margin expansion through the balance of the year with revenue and margin growth expected to inflect as we cross from Q2 to Q3.

Nitin Agrawal: While Q1 represented the trough of our margin trajectory, we remain on track for sequential margin expansion through the balance of the year, with revenue and margin growth expected to inflect as we cross from Q2 to Q3. As important, we have made significant progress in developing our capital structure. More than $20 billion of debt and equity secured, all via meaningfully oversubscribed transactions. Each of these is independently significant. Together, they compound because the ability to finance the scale of the opportunity ahead at declining cost is one of the most important levers we have. We have a contracted revenue backlog that provides multi-year visibility and a capital structure that is deeper and more cost-efficient than at any point in our history. We look forward to updating you on our progress through the balance of the year. Thank you. With that, we will open up for questions.

Speaker #2: As important, we have made significant progress in developing our capital structure. More than $20 billion of debt and equity secured, all via meaningfully oversubscribed transactions.

Speaker #2: Each of these is independently significant. Together, they compound because the ability to finance the scale of the opportunity ahead at declining cost is one of the most important levers we have.

Nitin Agrawal: Together, they compound because the ability to finance the scale of the opportunity ahead at declining cost is one of the most important levers we have. We have a contracted revenue backlog that provides multi-year visibility and a capital structure that is deeper and more cost-efficient than at any point in our history. We look forward to updating you on our progress through the balance of the year. Thank you. With that, we will open up for questions.

Speaker #2: We have a contracted revenue backlog that provides multi-year visibility and a capital structure that is deeper and more cost-efficient than at any point in our history.

Speaker #2: We look forward to updating you on our progress through the balance of the year. Thank you. With that, we will open up for questions.

Speaker #1: We will now begin the question and answer session. Please limit yourself to one question and one follow-up. If you would like to ask a question, please press star one on your telephone keypad.

Operator: We will now begin the question and answer session. Please limit yourself to one question and one follow-up. If you would like to ask a question, please press star one on your telephone keypad. To withdraw your question, press star one again. Please pick up your handset when asking a question. If you are muted locally, please remember to unmute your device. Please stand by while we compile the Q&A roster. Your first question comes from the line of Keith Weiss from Morgan Stanley. Keith, please go ahead.

Speaker #1: To withdraw your question, press star one again. Please pick up your handset when asking a question. If you are muted locally, please remember to unmute your device.

Speaker #1: Please stand by while we compile the Q&A roster. Your first question comes from the line of Keith Weiss. From Morgan Stanley. Keith, please go ahead.

Speaker #2: Excellent. Thank you for taking the questions. And congratulations on a really great quarter across all of the key kind of strategies that you guys are trying to push out in this marketplace.

Keith Weiss: Excellent. Thank you for taking the questions. Congratulations on a really great quarter across like all of the key kind of strategies that you guys are trying to push out into this marketplace. The velocity of the business is just outstanding. Couple questions that are just kind of clarifying questions within this because there's a lot of big numbers, a lot of new stuff being thrown at us. Maybe starting on the CapEx side of the equation and the higher component pricing. I think that's something that's weighing on the stock a little bit after hours. Can you explain to us how the higher component pricing works through the contract and how that ultimately affects your profitability?

Speaker #2: And the velocity of this business is just outstanding. A couple of questions that are just kind of clarifying questions within this because there's a lot of numbers, a lot of new stuff being thrown at us.

Keith Weiss: Maybe starting on the CapEx side of the equation and the higher component pricing. I think that's something that's weighing on the stock a little bit after hours. Can you explain to us how the higher component pricing works through the contract and how that ultimately affects your profitability?

Speaker #2: And maybe starting on the CapEx side of the equation and the higher component pricing, I think that's something that's weighing on the stock a little bit after hours.

Speaker #2: Can you explain to us how the higher component pricing works through the contract and how that ultimately affects your profitability? And then maybe if we could talk about the NVIDIA relationship and the expansion of that relationship.

Keith Weiss: Maybe if we could talk about the NVIDIA relationship and the extension of that relationship. What fundamentally changed in that relationship this quarter? How should we think about that five gigawatts within the like eight gigawatt active power target for 2030? I'll leave the rest of my questions for the call deck.

Speaker #2: What fundamentally changed in that relationship this quarter? And how should we think about that five gigawatts within the eight gigawatt active power target for 2030?

Speaker #2: And I'll leave the rest of my questions for the callback.

Mike Intrator: Thank you, Keith. That was a mouthful of questions there. Let me try and kind of deconstruct them and kind of work through them one at a time. The first thing is a question regarding the CapEx budget and the higher component pricing. This has been a thematic reality for the cloud and for artificial intelligence infrastructure across the space. Look, we've kind of built this company in an environment that has always been challenged on the supply chain side. We're really good at it. We think about it a lot. We've built the company from an efficiency perspective.

Michael Intrator: Thank you, Keith. That was a mouthful of questions there. Let me try and kind of deconstruct them and kind of work through them one at a time. The first thing is a question regarding the CapEx budget and the higher component pricing. This has been a thematic reality for the cloud and for artificial intelligence infrastructure across the space. Look, we've kind of built this company in an environment that has always been challenged on the supply chain side. We're really good at it. We think about it a lot. We've built the company from an efficiency perspective.

Speaker #3: Thank you, Keith. That was a mouthful of questions there. Let me try and kind of deconstruct them and kind of work through them one at a time.

Speaker #3: So the first thing is a question regarding the CapEx budget and the higher component pricing. And this has been a thematic reality for the cloud and for artificial intelligence infrastructure across the space.

Speaker #3: Look, we've kind of built this company in an environment that has always been challenged on the supply chain side. So we're really good at it.

Speaker #3: We think about it a lot. We've built the company from an efficiency perspective. And so we're used to operating in a challenging environment around components or inputs into our product.

Mike Intrator: you know, we're used to operating in a challenging environment around components or inputs into our product. Having said that, in the last, you know, 6, 9 months, there's been an acute shortage of certain components that have moved up. Like I said, you've heard about that across the space.

Michael Intrator: you know, we're used to operating in a challenging environment around components or inputs into our product. Having said that, in the last, you know, 6, 9 months, there's been an acute shortage of certain components that have moved up. Like I said, you've heard about that across the space.

Speaker #3: Having said that, in the last six, nine months, there has been an acute shortage of certain components that have moved up. And like I said, you've heard about that across the space.

Keith Weiss: Yeah.

Mike Intrator: When you're thinking about that for us, the way to think about it is that we are a success-based company, which means that we build our contracts to incorporate the cost of all of the components that are necessary to deliver infrastructure. By and large, we are insulated from the price inflation on some of the components because we include that in our pricing that we ultimately bring to clients in order to target the margins that Nitin spoke to, right? Is up in the mid-twenties is how we think about it on a unit basis. You know, it's an issue, it's a problem, but we have an incredible capacity to navigate the supply chain.

Michael Intrator: When you're thinking about that for us, the way to think about it is that we are a success-based company, which means that we build our contracts to incorporate the cost of all of the components that are necessary to deliver infrastructure.

Speaker #3: When you're thinking about that for us, the way to think about it is that we are a success-based company. Which means that we build our contracts to incorporate the cost of all of the components that are necessary to deliver infrastructure.

Speaker #3: And so by and large, we are insulated from the price inflation on some of the components because we include that in our pricing that we ultimately bring to clients in order to target the margins that Nitin spoke to, right?

Michael Intrator: By and large, we are insulated from the price inflation on some of the components because we include that in our pricing that we ultimately bring to clients in order to target the margins that Nitin spoke to, right? Is up in the mid-twenties is how we think about it on a unit basis. You know, it's an issue, it's a problem, but we have an incredible capacity to navigate the supply chain.

Speaker #3: Up in the mid-20s is how we think about it on a unit basis. And so it's an issue. It's a problem. But we have an incredible capacity to navigate the supply chain.

Speaker #3: We have great partners. And we include the pricing that is required in order to end up delivering the infrastructure that's required, but also ensuring that we're able to secure the economics that we're targeting.

Mike Intrator: We have great partners, and we include the pricing that is required in order to end up, you know, delivering the infrastructure that's required, but also ensuring that we're able to secure the economics that we're targeting. The next question you asked was about NVIDIA. You know, it's been a very exciting period for us with NVIDIA. You know, they came out and they really did a series of different things, but the two most important were the qualification of our software solution as a reference architecture for them. That was, you know, an incredible validation of the quality of the software solution that we deliver to market.

Michael Intrator: We have great partners, and we include the pricing that is required in order to end up, you know, delivering the infrastructure that's required, but also ensuring that we're able to secure the economics that we're targeting.

Speaker #3: The next question you asked was about NVIDIA. And it's been a very exciting period for us with NVIDIA. They came out and they really did a series of different things.

Michael Intrator: The next question you asked was about NVIDIA. You know, it's been a very exciting period for us with NVIDIA. You know, they came out and they really did a series of different things, but the two most important were the qualification of our software solution as a reference architecture for them. That was, you know, an incredible validation of the quality of the software solution that we deliver to market.

Speaker #3: But the two most important were the qualification of our software solution as a reference architecture for them. And that was an incredible validation of the quality of the software solution that we deliver to market.

Speaker #3: We've talked about this before, is that we are dedicated to delivering the best solution to artificial intelligence infrastructure consumers in the world. And we believe we do that.

Mike Intrator: We've talked about this before, is that, you know, we are dedicated to delivering the best solution to artificial intelligence infrastructure consumers in the world. We believe we do that, and we believe that NVIDIA supports that position because of their position around our software as a reference architecture, which is fantastic. With regards to the 5 gigawatts worth of infrastructure, I kinda wanna start that from the position of, you know, in the last 12 months, CoreWeave has secured 2 gigawatts worth of infrastructure. Within the last quarter, we have secured 400 megawatts worth of infrastructure. We are capable of securing infrastructure at gargantuan scale, independent of any support from NVIDIA or anyone else.

Michael Intrator: We've talked about this before, is that, you know, we are dedicated to delivering the best solution to artificial intelligence infrastructure consumers in the world. We believe we do that, and we believe that NVIDIA supports that position because of their position around our software as a reference architecture, which is fantastic.

Speaker #3: And we believe that NVIDIA supports that position because of their position around our software as a reference architecture, which is fantastic. With regards to the five gigawatts worth of infrastructure, I kind of want to start that from the position of in the last 12 months, CoreWeave has secured two gigawatts worth of infrastructure.

Michael Intrator: With regards to the 5 gigawatts worth of infrastructure, I kinda wanna start that from the position of, you know, in the last 12 months, CoreWeave has secured 2 gigawatts worth of infrastructure. Within the last quarter, we have secured 400 megawatts worth of infrastructure. We are capable of securing infrastructure at gargantuan scale, independent of any support from NVIDIA or anyone else.

Speaker #3: Within the last quarter, we have secured 400 megawatts worth of infrastructure. We are capable of securing infrastructure at gargantuan scale independent of any support from NVIDIA or anyone else.

Speaker #3: What the five gigawatts does for us is it gives us the ability on an opportunistic basis to accelerate our ability to go out and secure additional infrastructure at a truly amazing scale as our clients are trying to secure our solution for delivery of computing infrastructure.

Mike Intrator: What the 5 gigawatts does for us is it gives us the ability on an opportunistic basis to accelerate our ability to go out and secure additional infrastructure at a truly amazing scale as our clients are trying to secure our solution for delivery of computing infrastructure. I think those really are the highlights around our relationship in the last quarter with NVIDIA. You know, beyond just the standard us integrating with them on an engineering-first basis, which has just been fantastic.

Michael Intrator: What the 5 gigawatts does for us is it gives us the ability on an opportunistic basis to accelerate our ability to go out and secure additional infrastructure at a truly amazing scale as our clients are trying to secure our solution for delivery of computing infrastructure. I think those really are the highlights around our relationship in the last quarter with NVIDIA. You know, beyond just the standard us integrating with them on an engineering-first basis, which has just been fantastic.

Speaker #3: And I think those really are the highlights around our relationship in the last quarter with NVIDIA. Beyond just the standard us integrating with them on an engineering-first basis, which is just been fantastic.

Speaker #2: And Keith, to round up your answer on the CapEx piece, CapEx shows us for us before revenue and cash flow. So you see showing up first.

Nitin Agrawal: Keith, to round up your answer on the CapEx piece, CapEx shows up for us before revenue and cash flow. You see, you know, showing up first.

Speaker #2: The piece on the P&L impact of that, it's already incorporated in the guidance that we've issued you today.

Mike Intrator: Right.

Michael Intrator: Right.

Nitin Agrawal: The piece on the P&L impact of that is already incorporated in the guidance that we've issued you today.

Speaker #3: So thank you.

Mike Intrator: Excellent.

Keith Weiss: Excellent.

Nitin Agrawal: With that.

Mike Intrator: Thank you.

Keith Weiss: Thank you.

Speaker #2: With that, Keith, I know this is your last quarter earnings covering us. We would like you to thank you for your partnership and the support that you've shown for us.

Nitin Agrawal: With that, I know this is your last quarter earnings covering us. We would like you to, you know, to thank you for your partnership and the support that you've shown for us since our IPO to this day today. Thank you so much, Keith. You will be missed.

Speaker #2: Since our IPO to this day today. Thank you so much, Keith. You will be missed.

Speaker #3: Thanks, Keith.

Mike Intrator: Thanks, Keith.

Michael Intrator: Thanks, Keith.

Keith Weiss: Thank you, guys, for an inspiring story. What you guys have built here has really been incredible, and it's been awesome to watch firsthand how you guys have scaled this out so quickly.

Speaker #4: Thank you guys for an inspiring story. What do you guys have built here has really been incredible. And it's been awesome to watch firsthand how you guys have scaled this out so quickly.

Speaker #3: Great team. Your next question comes from the line of Brent Thill from Jefferies. Brent, please go ahead.

Mike Intrator: Great team.

Michael Intrator: Great team.

Operator: Your next question comes from the line of Brent Thill from Jefferies. Brent, please go ahead.

Speaker #5: I'll throw in an excellent for Keith. Congrats. Nitin 81 million in EBIT on the front half, but you're guiding to 919 million in the second half on the bottom line.

Brent Thill: I'll throw out an excellent for Keith Weiss. Congrats. Nitin Agrawal, $81 million in EBITDA on the H1, you're guiding to $919 million in the H2 on the bottom line. What's giving you conviction in the bottom line build in the H2 of the year?

Speaker #5: What's giving you conviction in the bottom line build in the back half of the year?

Speaker #3: Absolutely. So from a Q2 perspective, it is coming in exactly where we expected it to be. Remember, everything in our business is defined by active power and capacity where I'm scheduled.

Nitin Agrawal: Absolutely. From a Q2 perspective, you know, it is coming in exactly where we expected it to be. Remember, everything in our business is defined by active power and capacity ramp schedules, which are not necessarily linear. What is important in this context is that our revenue growth and our margin trajectory is coming across exactly as we articulated in our Q4 earnings. I think your question was probably around EBIT, not EBITDA, so I just want to clarify that for people. For EBITDA, we generated $1.2 billion in EBITDA this quarter. When you think about from a Q1 perspective, Q1 was the trough of our margin story. We remain on track for sequential margin expansion through the balance of the year, as we had described, with revenue and margin growth expected to inflect as we cross from Q2 to Q3.

Speaker #3: Which are not necessarily linear. What is important in this context is that our revenue growth and our margin trajectory is coming across exactly as we articulated in our Q4 earnings.

Speaker #3: And I think your question was probably around EBIT, not EBITDA. So I just want to clarify that for people. For EBITDA, we generated 1.2 billion in EBITDA this quarter.

Nitin Agrawal: I think your question was probably around EBIT, not EBITDA, so I just want to clarify that for people. For EBITDA, we generated $1.2 billion in EBITDA this quarter. When you think about from a Q1 perspective, Q1 was the trough of our margin story. We remain on track for sequential margin expansion through the balance of the year, as we had described, with revenue and margin growth expected to inflect as we cross from Q2 to Q3.

Speaker #3: When you think about from a Q1, Q1 perspective, Q1 was the trough of our margin story. What we remain on track for sequential margin expansion through the balance of the year as we had described with revenue and margin growth expected to inflect from as we cross from Q2 to Q3.

Speaker #3: We are reaffirming our full year guidance, including full year revenue, full year adjusted operating income, and that we will exit the year with low double-digit adjusted operating income margin.

Nitin Agrawal: We are reaffirming our full-year guidance, including full-year revenue, full-year adjusted operating income, and that we will exit the year with low double-digit adjusted operating income margin. We are reaffirming our active power, and we are raising the floor of our 2026 exit ARR guidance. All of these are indicators in the conviction that we have on our execution plan for the remainder of the year. What you will see us is executing through this plan and expect to see our adjusted operating income accelerate faster than revenue growth in the H2 of the year.

Speaker #3: We are reaffirming our active power, and we are raising the floor of our 2026 exit ARR guidance. All of these are indicators of the conviction that we have in our execution plan for the remainder of the year.

Nitin Agrawal: All of these are indicators in the conviction that we have on our execution plan for the remainder of the year. What you will see us is executing through this plan and expect to see our adjusted operating income accelerate faster than revenue growth in the H2 of the year.

Speaker #3: What you will see us is executing through this plan and expect to see our adjusted operating income accelerate faster than revenue growth in the second half of the year.

Mike Intrator: Brent, just a couple of other things. You, you asked about what gives us confidence. A couple of things I wanted to say is, as you're watching a business kind of achieving escape velocity, is that we have gone ahead and worked through our supply chains to ensure that we are able to hit those numbers. We are in approximately 50 data centers. We have, you know, no single data center provider that delivers more than 17% of our active infrastructure. We have multiple OEMs, ODMs. We are really built now to lean into a resilient supply chain that crosses all of the components that we are required to be able to deliver in order to drive that revenue.

Michael Intrator: Brent, just a couple of other things. You, you asked about what gives us confidence. A couple of things I wanted to say is, as you're watching a business kind of achieving escape velocity, is that we have gone ahead and worked through our supply chains to ensure that we are able to hit those numbers.

Speaker #5: Brent, just a couple of other things. You asked about what gives us confidence. And a couple of things I wanted to say as you're watching a business kind of achieving escape velocity.

Speaker #5: Is that we have gone ahead and worked through our supply chains to ensure that we are able to hit those numbers. We are in approximately 50 data centers we have no single data center provider that delivers more than 17% of our active infrastructure.

Michael Intrator: We are in approximately 50 data centers. We have, you know, no single data center provider that delivers more than 17% of our active infrastructure. We have multiple OEMs, ODMs. We are really built now to lean into a resilient supply chain that crosses all of the components that we are required to be able to deliver in order to drive that revenue.

Speaker #5: We have multiple OEMs, ODMs. We are really built now to lean into a resilient supply chain that crosses all of the components that we are required to be able to deliver in order to drive that revenue.

Speaker #5: And we are reaffirming it because of the level of confidence that we have that because of that resiliency, we will hit those numbers.

Mike Intrator: You know, we are, you know, reaffirming it because of the level of confidence that we have that the cost of that resiliency, we will hit those numbers.

Michael Intrator: You know, we are, you know, reaffirming it because of the level of confidence that we have that the cost of that resiliency, we will hit those numbers.

Speaker #3: Great. Thank you.

Brent Thill: Great. Thank you.

Speaker #4: Your next question comes from the line of Mark Murphy. From JP Morgan. Mark, please go ahead.

Operator: Your next question comes from the line of Mark Murphy from J.P. Morgan. Mark, please go ahead.

Speaker #6: Yeah. Thank you. I'll add my congrats to Keith. And congrats on the strong Q1 performance. To the extent that you have business that you booked previously, and it's not fully up and running and now the cost of components has risen, I would think the cost of energy has risen although maybe you have some of that locked in.

Mark Murphy: Yeah. Thank you. I'll add my congrats to Keith, and congrats on the strong Q1 performance. To the extent that you have business that you booked previously and it's not fully up and running, and now the cost of components has risen, I would think the cost of energy has risen, although maybe you have some of that locked in. Is the margin profile of those previously signed contracts slightly different than originally contemplated? Or, you know, do you have some recourse to somehow flow through increased pricing or maybe restructure some of those contracts? I have a quick follow-up.

Speaker #6: Is the margin profile of this previously signed contract slightly different than originally contemplated? Or do you have some recourse to somehow to flow through increased pricing or maybe restructure some of those contracts and then have a quick follow-up?

Mark Murphy: Is the margin profile of those previously signed contracts slightly different than originally contemplated? Or, you know, do you have some recourse to somehow flow through increased pricing or maybe restructure some of those contracts? I have a quick follow-up.

Speaker #3: Yeah. It's a good question. And thanks. It really I really do want to say that this is an extraordinary quarter for the company. And we are incredibly excited.

Mike Intrator: Yeah, it's a good question. You know, thanks. It really, you know, like I really do want to say that this is an extraordinary quarter for the company, and we are incredibly excited. Look, in terms of the components, you see us making a slight adjustment in the CapEx to capture small components of the CapEx stack that might go through some price inflation. When we are pricing our deals, we are pricing them with purchase orders in hand for the infrastructure that is required to be able to deliver on it. We understand what the power cost is going to be today, next year, and out through the term of the contract because that is contractually delivered to us.

Michael Intrator: Yeah, it's a good question. You know, thanks. It really, you know, like I really do want to say that this is an extraordinary quarter for the company, and we are incredibly excited. Look, in terms of the components, you see us making a slight adjustment in the CapEx to capture small components of the CapEx stack that might go through some price inflation.

Speaker #3: Look, in terms of the components, you see us making a slight adjustment in the CapEx to capture small components of the CapEx stack that might go through some price inflation.

Speaker #3: But when we are pricing our deals, we are pricing them with purchase orders in hand. For the infrastructure that is required to be able to deliver on it.

Michael Intrator: When we are pricing our deals, we are pricing them with purchase orders in hand for the infrastructure that is required to be able to deliver on it. We understand what the power cost is going to be today, next year, and out through the term of the contract because that is contractually delivered to us.

Speaker #3: We understand what the power cost is going to be today, next year, and out through the term of the contract, because that is contractually delivered to us.

Mike Intrator: We've done a really good job of understanding what the components and electricity costs are going to be. We have it structured so that it is effectively passed through when we enter into the contract, once again, to ensure that we're able to hit our targeted margins on a unit basis.

Speaker #3: And so we've done a really good job of understanding what the components and electricity costs are going to be. We have it structured so that it is effectively passed through when we enter into the contract, once again, to ensure that we're able to hit our targeted margins on a unit basis.

Michael Intrator: We've done a really good job of understanding what the components and electricity costs are going to be. We have it structured so that it is effectively passed through when we enter into the contract, once again, to ensure that we're able to hit our targeted margins on a unit basis.

Speaker #6: Okay. Understood. And Nitin, just given the success you've had with the bookings in Q1, the data center build-out out execution is great. You have the diversification across enterprises.

Mark Murphy: Okay. Understood. Nitin, just given the success you've had with the bookings in Q1, the data center build-out execution is great. You have the diversification across enterprises, the successful capital raise, you do have, you know, noticeable revenue upside in Q1. What holds you back from just passing through that revenue upside into the full year revenue guidance? I mean, in some sense, technically we'll reduce our rest of year revenue forecast a little. Is there some other effect? You know, sometimes there's weather or just the infrastructure shortages or maybe labor shortages in there that maybe is creating a mild headwind?

Speaker #6: The successful capital raise, and then you do have noticeable revenue upside in Q1. What holds you back from just passing through that revenue upside into the full-year revenue guidance?

Mark Murphy: What holds you back from just passing through that revenue upside into the full year revenue guidance? I mean, in some sense, technically we'll reduce our rest of year revenue forecast a little. Is there some other effect? You know, sometimes there's weather or just the infrastructure shortages or maybe labor shortages in there that maybe is creating a mild headwind?

Speaker #6: Because I mean, in some sense, technically, we'll reduce our rest of year revenue forecast a little. Is there some other effect? Sometimes there's weather or just the infrastructure shortages or maybe labor shortages in there that maybe is creating a mild headwind?

Speaker #3: Yeah. From our perspective, we mentioned this in our last earnings call as well. We pretty much remain sold out for our 2026 capacity. So that is continuing to be true for us at this point of time.

Nitin Agrawal: From our perspective, you know, we mentioned this in our last earnings call as well. We pretty much remain sold out for our 2026 capacity. That is continuing to be true for us at this point of time. Where you would see this kind of reflect for us is around 2 vectors. We've raised the guidance for the floor of exit ARR, so we are going to exit the year in a much stronger position than what we expected, you know, a few months ago when we did last quarter. At the same point of time, where it's also reflecting, it's showing up in 75% of our 2027 ARR, you know, guidance that we provided, which is $30+ billion already booked at this point of time, excluding any potential renewals, greater than 75% of that. That is where you see that reflecting.

Speaker #3: Where you would see this kind of inflect for us is around two vectors. We've raised the guidance for the floor of exit ARR. So we are going to exit the year in a much stronger position than what we expected a few months ago when we did last quarter.

Speaker #3: At the same point of time, where it's also inflecting is showing up in 75% of our 2027 ARR guidance that we provided, which is 30 plus billion dollars already booked at this point of time excluding any potential renewals.

Nitin Agrawal: At the same point of time, where it's also reflecting, it's showing up in 75% of our 2027 ARR, you know, guidance that we provided, which is $30+ billion already booked at this point of time, excluding any potential renewals, greater than 75% of that. That is where you see that reflecting.

Speaker #3: Greater than 75% of that. So that is where you see that reflecting. From a 2026 perspective, we pretty much remain sold out of our capacity.

Nitin Agrawal: From a 2026 perspective, we pretty much remain sold out of our capacity.

Speaker #6: Thank you.

Mark Murphy: Thank you.

Speaker #4: Your next question comes from the line of Tal Liani from Bank of America. Tal, please go ahead.

Operator: Your next question comes from the line of Tal Liani from Bank of America.

Tal Liani: Hey, guys.

Operator: Tal, please go ahead.

Speaker #7: You have some people here that that's their last quarter of covering this talk, and some people here that that's their first quarter of covering this talk.

Tal Liani: You have some people here that's their last quarter of covering the stock, and some people here that's their first quarter of covering the stock.

Speaker #7: So generation goes on, generation comes.

Nitin Agrawal: Welcome.

Tal Liani: One generation goes, one generation comes.

Speaker #5: It's great to have you. Welcome.

Nitin Agrawal: It's great to have you. Welcome.

Tal Liani: I want to ask about the operations, 2 things. Number 1 is your backlog of revenues. What determines the recognition of revenues from it? Is it the completion of data center build-out and live traffic going into it, and that means that we are going to have kind of step up in recognition of revenues, like really some really good quarters when you finish building out certain capacity? That is the 1st question. The 2nd question about gross margin. Gross margin has been going down throughout. I look at the last 5 quarters. We started at 78%, now 68%. I am trying to understand the operating structure, how it changes over the next 2 years, let's say. Meaning, what are the drivers for gross margin improvement?

Speaker #7: I want to ask about the operations. Two things. Number one is your backlog of revenues. What determines the recognition of revenues from it? Is it the completion of data center build-out and live traffic going into it?

Speaker #7: And that means that we're going to have kind of step-up in recognition of revenues? Like really some really good quarters when you finish building out certain capacity?

Speaker #7: That's the first question. And the second question about gross margin. So gross margin has been going down throughout. I look at the last five quarters.

Tal Liani: The 2nd question about gross margin. Gross margin has been going down throughout. I look at the last 5 quarters. We started at 78%, now 68%. I am trying to understand the operating structure, how it changes over the next 2 years, let's say. Meaning, what are the drivers for gross margin improvement?

Speaker #7: We started at 78%, now 68%. And I'm trying to understand the operating structure how it changes over the next two years, let's say. Meaning what are the drivers for gross margin improvement?

Speaker #7: I see also technology and infrastructure expenses went up more than revenue growth. So what are the drivers for that to improve? What takes you from the current margin structure to a better margin structure down the road when revenues go up?

Tal Liani: I see also technology and infrastructure expenses went up more than revenue growth. What are the drivers for that to improve? Like, what takes you from the current margin structure to a better margin structure down the road when revenues go up? Thanks.

Speaker #7: Thanks.

Speaker #3: Yeah, so before we enter into the revenue question that you asked, let me kind of first answer your second question, which is around how we think about the margin dynamic.

Nitin Agrawal: Yeah. Before we enter into the revenue question that you asked, let me kind of first answer your second question, which is around how we think about the margin dynamic. The margin dynamic in our business is predominantly timing-based, not economic. We get receipts of powered shell, and we start including lease expenses as well as power expenses at that time, and we start depreciating server and other data center equipment during the fit-out process. That process takes us about 1 to 2 months. During that period, we are recognizing costs but no revenue. That is what costs us new deployments to be running negative contribution margin during the deployment phase.

Speaker #3: The margin dynamic in our business is predominantly timing-based, not economic. We receipt get receipts of powered shell and we start incurring lease expenses as well as powered expenses at that time.

Speaker #3: And we start depreciating server and other data center equipment during the fit-out process. That process takes us about one to two months. During that period, we are recognizing costs, but no revenue.

Nitin Agrawal: That process takes us about 1 to 2 months. During that period, we are recognizing costs but no revenue. That is what costs us new deployments to be running negative contribution margin during the deployment phase.

Speaker #3: That is what costs us—new deployments to be running contribution margin during the negative, during the deployment phase. We've tripled our active power capacity over the last year or so.

Nitin Agrawal: We've tripled our active power capacity over the last year or so. What you see in our business is a reflection of that rapid ramp because we deploy capacity ahead of revenue generation by a few weeks. By month 3 in these deployments, we are typically generating revenue and the contribution margins stabilize, normalizing to a ramped contract in about mid-20s. Operating margin inflection also means a gross margin will inflect on time as we inflect into Q2, exiting Q3. That's what will happen through the remainder of the year. You'll see sequential expansion. To your question on revenue generation, when we deploy capacity, and we've deployed, tested our GPUs, and when we handed them over to the end customer is when we start recognizing revenue.

Speaker #3: And what you see in our business is a reflection of that rapid ramp because we deploy capacity ahead of revenue generation by a few weeks.

Speaker #3: By month three in these deployments, we are typically generating revenue, and the contribution margins stabilize, normalizing to a ramped contract in about the mid-20s. Operating margin inflection also means a gross margin will inflect on time as we inflect into Q2, exiting Q3.

Nitin Agrawal: Operating margin inflection also means a gross margin will inflect on time as we inflect into Q2, exiting Q3. That's what will happen through the remainder of the year. You'll see sequential expansion. To your question on revenue generation, when we deploy capacity, and we've deployed, tested our GPUs, and when we handed them over to the end customer is when we start recognizing revenue.

Speaker #3: That's what will happen through the remainder of the year. And you'll see sequential expansion. To your question on revenue generation, when we deploy capacity and we've deployed tested our GPUs and when we handed them over to the end customer, is when we start recognizing revenue.

Speaker #3: So, as data halls, as data centers come online and we deploy capacity for our data centers, that is when we start delivering those capacity components over to our end customers on a contractual basis.

Nitin Agrawal: As data halls, as data centers come online and we deploy capacity for our data centers, that is when we start delivering those capacity components over to our end customers on a contractual basis, and then we start recognizing revenue on a straight line basis through the life of the customer contract.

Speaker #3: And then we start recognizing revenue on a straight-line basis through the life of the customer contract.

Speaker #6: Perfect. Thank you.

Tal Liani: Perfect. Thank you.

Nitin Agrawal: Hey, Tal, one more quick point. When you're thinking about the gross margin, right? Remember, we're installing such massive amounts of infrastructure relative to our installed capacity, right? If you think of it as we're running 50 MW and we add 300 MW in a quarter, the impact on gross margin is going to be enormous. On the other hand, when you're running 2,000 MW and you add 50 MW, it's not going to have as material an impact on your gross margin. When you're watching a company like CoreWeave go through a scaling exercise like we have been on, this journey is unique. You're going to have impacts that are short term in the scaling exercise.

Michael Intrator: Hey, Tal, one more quick point. When you're thinking about the gross margin, right? Remember, we're installing such massive amounts of infrastructure relative to our installed capacity, right? If you think of it as we're running 50 MW and we add 300 MW in a quarter, the impact on gross margin is going to be enormous.

Speaker #5: Great. Tal, just one more quick point. When you're thinking about the gross margin, right? Remember, we're installing such massive amounts of infrastructure relative to our installed capacity.

Speaker #5: Right? So, if you think of it as we're running 50 megawatts and we add 300 megawatts in a quarter, the impact on gross margin is going to be enormous.

Speaker #5: On the other hand, when you're running 2,000 megawatts and you add 50 megawatts, it's not going to have as material an impact on your gross margin.

Michael Intrator: On the other hand, when you're running 2,000 MW and you add 50 MW, it's not going to have as material an impact on your gross margin. When you're watching a company like CoreWeave go through a scaling exercise like we have been on, this journey is unique. You're going to have impacts that are short term in the scaling exercise.

Speaker #5: And when you're watching a company like CoreWeave go through a scaling exercise like we have been on, this journey is unique. And so you're going to have impacts that are short-term in the scaling exercise.

Speaker #5: But as soon as you become large enough that the add that you have on a relative basis is more normalized, the margins will immediately reinflate.

Nitin Agrawal: As soon as you become large enough that the add that you have on a relative basis is more normalized, the margins will immediately reinflate.

Michael Intrator: As soon as you become large enough that the add that you have on a relative basis is more normalized, the margins will immediately reinflate.

Speaker #5: And when I say that we are achieving escape velocity, that is exactly what I'm talking about. You're talking about a company whose installed base is getting large enough to handle the next incremental unit of compute, the next data hall, the next data center as they are brought online.

Mike Intrator: When I say that we are achieving escape velocity, that is exactly what I'm talking about. You're talking about a company whose installed base is getting large enough to handle the next incremental unit of compute, the next data hall, the next data center, as they are brought online.

Michael Intrator: When I say that we are achieving escape velocity, that is exactly what I'm talking about. You're talking about a company whose installed base is getting large enough to handle the next incremental unit of compute, the next data hall, the next data center, as they are brought online.

Speaker #4: Your next question comes from the line of Amit Daryanani. From Evercore. Amit, please go ahead.

Operator: Your next question comes from the line of Amit Daryanani from Evercore. Amit, please go ahead.

Speaker #8: Yep. Thanks for taking my question. I have two as well. Maybe Mike to start with you. You sort of always talked about inferencing as a monetization of AI and that's how you framed it.

Amit Daryanani: Thanks for taking my question. I have two as well. You know, maybe, Mike, to start with you sort of always talked about inferencing as the monetization of AI, and that's how you framed it. I'd love to understand how fast you think inferencing as a share of your consumed power is growing right now in your installed base. You know, as that keeps growing, what does that really imply for the, you know, utilization and contracting economics for the, you know, H100s, A100s over the next 12 to 18 months for you?

Speaker #8: I'd love to understand: How fast do you think inferencing, as a share of your consumed power, is growing right now in your installed base?

Speaker #8: And as that keeps growing, what does that really imply for the utilization and contracting economics for the H100s, A100s over the next 12 to 18 months for you?

Speaker #5: Yeah, I mean, this is something that we spent a good bit of time thinking about over here. I'm going to answer the question a couple of different ways.

Mike Intrator: Yeah. I mean, this is something that we spend a good bit of time thinking about over here. You know, I'm gonna answer the question a couple of different ways, right? First of all, when we build infrastructure, we build what we call AI infrastructure. It can be used fungibly back and forth across both training and inference. It is the buyers who have purchased this infrastructure over time that move their workloads back and forth to optimize the use of the compute that we deliver to them. We don't know necessarily exactly what compute is being used for inference or what compute is being used for training 'cause it changes all the time.

Michael Intrator: Yeah. I mean, this is something that we spend a good bit of time thinking about over here. You know, I'm gonna answer the question a couple of different ways, right? First of all, when we build infrastructure, we build what we call AI infrastructure. It can be used fungibly back and forth across both training and inference.

Speaker #5: Right? First of all, when we build infrastructure, we build what we call AI infrastructure. And so it can be used fungibly back and forth across both training and inference.

Speaker #5: And it is the buyers who have purchased this infrastructure over time that move their workloads back and forth to optimize the use of the compute that we deliver to them.

Michael Intrator: It is the buyers who have purchased this infrastructure over time that move their workloads back and forth to optimize the use of the compute that we deliver to them. We don't know necessarily exactly what compute is being used for inference or what compute is being used for training 'cause it changes all the time.

Speaker #5: And so we don't know necessarily exactly what compute is being used for inference or what compute is being used for training because it changes all the time.

Speaker #5: However, we can look at the power draw and extrapolate what we believe to be how much of the compute is being used for inference versus how much is being used for training.

Mike Intrator: However, we can look at the power draw and extrapolate what we believe to be how much of the compute is being used for inference versus how much is being used for training. When we do that, you know, we think we are now materially in excess of 50% of our compute is being used for inference. That is a wonderful thing for a company like CoreWeave because it gives us tremendous confidence that the consumers of our compute are driving revenue at their entities because they are able to monetize their investment as they sell their compute and their models onto their clients.

Michael Intrator: However, we can look at the power draw and extrapolate what we believe to be how much of the compute is being used for inference versus how much is being used for training. When we do that, you know, we think we are now materially in excess of 50% of our compute is being used for inference.

Speaker #5: And when we do that, we think we are now materially in excess of 50% of our compute is being used for inference. And that is a wonderful thing for a company like CoreWeave because it gives us tremendous confidence that the consumers of our compute are making a are driving revenue at their entities because they are able to monetize their investment as they sell their compute and their models onto the their clients.

Michael Intrator: That is a wonderful thing for a company like CoreWeave because it gives us tremendous confidence that the consumers of our compute are driving revenue at their entities because they are able to monetize their investment as they sell their compute and their models onto their clients.

Mike Intrator: With regard for the demand for Hopper and Ampere, you know, I have been pretty steadfast around what I believe is going to be the useful life of this computer. Whether it is the Amperes or the Hoppers or the Blackwells or ultimately as we move through additional iterations of architecture. What I have said and what I continue to believe is that the use cases within the AI labs, within the companies that are productizing artificial intelligence are broad, and they require different types of infrastructure to run some of their training loads, and they require different types of infrastructure for some of their inference loads.

Speaker #5: With regard for the demand for Hopper and Ampere I have been pretty steadfast around what I believe is going to be the useful life of this computer.

Michael Intrator: With regard for the demand for Hopper and Ampere, you know, I have been pretty steadfast around what I believe is going to be the useful life of this computer. Whether it is the Amperes or the Hoppers or the Blackwells or ultimately as we move through additional iterations of architecture.

Speaker #5: Whether it is the Amperes or the Hoppers or the Blackwells, or ultimately, as we move through additional iterations of architecture. And what I have said, and what I continue to believe, is that the use cases within the AI labs, within the companies that are productizing artificial intelligence, are broad.

Michael Intrator: What I have said and what I continue to believe is that the use cases within the AI labs, within the companies that are productizing artificial intelligence are broad, and they require different types of infrastructure to run some of their training loads, and they require different types of infrastructure for some of their inference loads.

Speaker #5: And they require different types of infrastructure to run some of their training loads. And they require different types of infrastructure for some of their inference loads.

Speaker #5: And so, when we talk about contracts, when we do multiple contracts with a counterparty, they come in and they buy the most bleeding-edge infrastructure.

Mike Intrator: When we talk about contracts, when we do multiple contracts with a counterparty, they come in and they buy the most bleeding-edge infrastructure, then they use that infrastructure to train, then they take that infrastructure and move it down to the inference load, which is probably less compute-intensive. They bring in new infrastructure of a new generation with which they use to train the next generation of their models. We have seen incredible amounts of demand for our H100s, for our H200s, for our A100s. That is all driven by the fact that there are many different use cases that require different power and scale and pricing of compute. We are sold out in our H100s. We are sold out in our A100s.

Michael Intrator: When we talk about contracts, when we do multiple contracts with a counterparty, they come in and they buy the most bleeding-edge infrastructure, then they use that infrastructure to train, then they take that infrastructure and move it down to the inference load, which is probably less compute-intensive.

Speaker #5: And then they use that infrastructure to train. And then they take that infrastructure and move it down to the inference load, which is probably less compute-intensive.

Speaker #5: And they bring in new infrastructure of a new generation with which they use to train the next generation of their models. And so we have seen incredible amounts of demand for our H100s, for our H200s, for our A100s.

Michael Intrator: They bring in new infrastructure of a new generation with which they use to train the next generation of their models. We have seen incredible amounts of demand for our H100s, for our H200s, for our A100s. That is all driven by the fact that there are many different use cases that require different power and scale and pricing of compute. We are sold out in our H100s. We are sold out in our A100s.

Speaker #5: And that is all driven by the fact that there are many different use cases that require different power and scale and pricing of compute.

Speaker #5: We are sold out in our H100s. We are sold out in our A100s. We are seeing price appreciation as more inference is coming in and making demands upon that compute workloads in order to be able to deliver to their clients.

Mike Intrator: We are seeing price appreciation as more inference is coming in and making demands upon that compute workloads in order to be able to deliver to their clients. We think that is an incredibly bullish signal to this space at large.

Michael Intrator: We are seeing price appreciation as more inference is coming in and making demands upon that compute workloads in order to be able to deliver to their clients. We think that is an incredibly bullish signal to this space at large.

Speaker #5: And we think that is an incredibly bullish signal to the space at large.

Speaker #8: Perfect. Thanks a lot for that. And I have a really quick one. On the component side, one of the other issues I think folks are starting to have is just component availability to build out these data centers.

Amit Daryanani: Perfect. Thanks a lot for that. I have a really quick one. On the component side, you know, one of the other issues I think folks are starting to have is just component availability to build out these data centers. As you think about, you know, the $12 to 13 billion in revenues for calendar 2026, how much of component procurement is locked in already, you know, be that GPUs or memory or something else for you folks versus you still have to work your way and get those things locked in? Thank you.

Speaker #8: And so as you think about the 12 to 13 billion in revenues for calendar 26, how much of component procurement is locked in already be that GPUs or memory or something else for you folks versus you still have to work your way and get those things locked in?

Speaker #8: Thank you.

Speaker #5: Yeah, the overwhelming majority of it is locked in already. Right? So for 2026, as we said, we are virtually sold out. But likewise, we have placed our POs.

Mike Intrator: The overwhelming majority of it is locked in already, right? For 2026, as we said, we are virtually sold out. Likewise, we have placed our POs, we have secured the infrastructure, we have secured the power and everything else that is necessary for us to execute on delivery on our roadmap. We are very comfortable with the guidance that we've given because of having secured that infrastructure and those components already.

Michael Intrator: The overwhelming majority of it is locked in already, right? For 2026, as we said, we are virtually sold out. Likewise, we have placed our POs, we have secured the infrastructure, we have secured the power and everything else that is necessary for us to execute on delivery on our roadmap. We are very comfortable with the guidance that we've given because of having secured that infrastructure and those components already.

Speaker #5: We have secured the infrastructure. We have secured the power and everything else that is necessary for us to execute on delivery on our roadmap.

Speaker #5: We are very, very comfortable with the guidance that we've given because of having secured that infrastructure and those components already.

Speaker #8: Perfect. Thank you. And congrats on a nice set of numbers.

Amit Daryanani: Okay. Thank you. Congrats on a nice set of numbers.

Speaker #5: Thank you. Appreciate that.

Mike Intrator: Thank you. Appreciate that.

Michael Intrator: Thank you. Appreciate that.

Speaker #4: Your next question comes from the line of Nahal Chokshi from Northland Capital Markets. Nahal, please go ahead.

Operator: Your next question comes from the line of Nehal Chokshi from Northland Capital Markets. Nehal, please go ahead.

Nehal Chokshi: First, you brought in an incremental 400 megawatts of contracted power. That's up from 200 megawatts in Q4 2025, but below the 600, 700 megawatts per quarter in Q2 and Q3 2025. You know, as we think about on a longer-term basis, and I know you've already provided the calendar 2026 and calendar 2027 ARR, but even beyond that, what's kinda like the right way to think about how much incremental power you can bring in each quarter?

Speaker #9: First, so you brought in an incremental 400 megawatts of contracted power. That's up from 200 megawatts in Q4 '25, but below the 600 or 700 megawatts per quarter in Q2 and Q3 '25.

Speaker #9: Just as we think about on a longer-term basis, and I know you've already provided a calendar 26 and calendar 27 ARR, but even beyond that, what's kind of like the right way to think about how much incremental power you can bring in each quarter?

Speaker #5: So I want to be very clear that the $400 megawatts that we added is incremental and distinct from the 200 that we added prior to that.

Mike Intrator: I wanna be very clear that the 400 MW that we added is incremental and distinct from the 200 that we added prior to that. You know, we enter into contracts for power with data center providers. Our pipeline for additional capacity is extremely large. You know, we're reviewing lots of different sites where we could build infrastructure. We're reviewing lots of different deals that would allow us to continue to ramp. Another thing that I wanna highlight here is in addition to the transactions that we're doing with third-party data center providers, we are also doing a series of self-build data centers, and that's going to give us additional operational control over our pipeline of data centers. That's very important to us as we move out through time.

Michael Intrator: I wanna be very clear that the 400 MW that we added is incremental and distinct from the 200 that we added prior to that. You know, we enter into contracts for power with data center providers. Our pipeline for additional capacity is extremely large. You know, we're reviewing lots of different sites where we could build infrastructure.

Speaker #5: And so we enter into contracts for power with data center providers. Our pipeline for additional capacity is extremely large. We're reviewing lots of different sites where we could build infrastructure.

Speaker #5: We're reviewing lots of different deals that would allow us to continue to our ramp. Another thing that I want to highlight here is in addition to the transactions that we're doing with third-party data center providers, we are also doing a series of self-build data centers and that's going to give us additional operational control over our pipeline of data centers.

Michael Intrator: We're reviewing lots of different deals that would allow us to continue to ramp. Another thing that I wanna highlight here is in addition to the transactions that we're doing with third-party data center providers, we are also doing a series of self-build data centers, and that's going to give us additional operational control over our pipeline of data centers. That's very important to us as we move out through time.

Speaker #5: And that's very important to us as we move out through time. So, like I said, we are building our pipeline of infrastructure in coordination with the signals that we are getting from our clients so that we are able to lease the infrastructure or schedule the self-builds to be able to deliver to it.

Mike Intrator: like I said, we are building our pipeline of infrastructure in coordination with the signals that we are getting from our clients so that we are able to lease the infrastructure or schedule the self-builds to be able to deliver to it. There's no exact number that I can give you and say, we can get you X number of megawatts per quarter for the next 3 years. We have a very robust pipeline of opportunities that we're looking at. you know, like I said, 400MW this quarter. Last quarter was 200MW, it's been 2GW in the last 12 months.

Michael Intrator: like I said, we are building our pipeline of infrastructure in coordination with the signals that we are getting from our clients so that we are able to lease the infrastructure or schedule the self-builds to be able to deliver to it. There's no exact number that I can give you and say, we can get you X number of megawatts per quarter for the next 3 years. We have a very robust pipeline of opportunities that we're looking at. you know, like I said, 400MW this quarter. Last quarter was 200MW, it's been 2GW in the last 12 months.

Speaker #5: There's no exact number that I can give you and say, "Hey, we can get you X number of megawatts per quarter for the next three years." But we have a very, very robust pipeline of opportunities that we're looking at.

Speaker #5: And like I said, 400 megawatts this quarter—last quarter was 200 megawatts—but it's been 2 gigawatts in the last 12 months.

Speaker #8: Okay, great. So, if I may summarize, basically you expect to be able to match supply to your demand, and demand is off the charts.

Nehal Chokshi: Okay, great. If I may summarize, basically, you expect to be able to match supply to your demand, and demand is off the charts.

Speaker #5: That is correct.

Mike Intrator: That is correct.

Michael Intrator: That is correct.

Speaker #8: Perfect. Thank you. All right, second question is that with about $100 billion in revenue backlog, I would say that should translate to about 2 gigawatts that you've now contracted out.

Nehal Chokshi: Perfect. Thank you. All right. Second question is that, with about $100 billion of revenue backlog, I would say that should translate to about 2 GW that you've now contracted out. You've contracted in 3.4 GW as of the end of 1 February 2026. You know, roughly, I would say that means that you have about 1.4 GW to go out and allocate. I use the word allocate purposely because I think you guys are trying to be fair about who gets what capacity. The question is, A, is the word allocate rather than sell accurate? B, is the amount to allocate or sell, if you prefer that word, increasing or decreasing relative to a quarter ago?

Speaker #8: And you've contracted in 3.4 gigawatts as of the end of Q1 '26. So, roughly, I would say that means you have about 1.4 gigawatts to go out and allocate.

Speaker #8: And I use the word allocate purposely because I think you guys are trying to be fair about who gets what capacity. So the question is, A, is the word allocate rather than sell accurate?

Nehal Chokshi: I use the word allocate purposely because I think you guys are trying to be fair about who gets what capacity. The question is, A, is the word allocate rather than sell accurate? B, is the amount to allocate or sell, if you prefer that word, increasing or decreasing relative to a quarter ago?

Speaker #8: And B, is the amount to allocate—or sell, if you prefer that word—increasing or decreasing relative to a quarter of build?

Speaker #5: So I think the word allocate is probably accurate. It's unusual to be in a business where the demand for your product is so high that you get to really be thoughtful about which clients you want to bring onto your infrastructure.

Mike Intrator: I think the word allocate is probably accurate. It's unusual to be in a business where the demand for your product is so high that, you know, you get to really be thoughtful about which clients you want to bring onto your infrastructure. You know, where do you want to, you know, support parts of the infrastructure that are being built, whether it's, you know, in life sciences and biology or in foundation labs or inference products, all of those things. You know, that is a privileged position, and we are trying to build an ecosystem of clients that we allocate power to that are going to be the leaders in the space as it continues to grow.

Michael Intrator: I think the word allocate is probably accurate. It's unusual to be in a business where the demand for your product is so high that, you know, you get to really be thoughtful about which clients you want to bring onto your infrastructure. You know, where do you want to, you know, support parts of the infrastructure that are being built, whether it's, you know, in life sciences and biology or in foundation labs or inference products, all of those things.

Speaker #5: Where do you want to support parts of the infrastructure that are being built? Whether it's in life sciences and biology, or in foundation labs, or inference products, or all of those things.

Speaker #5: And that is a privileged position. And we are trying to build an ecosystem of clients that we allocate power to, that are going to be the leaders in the space as it continues to grow.

Michael Intrator: You know, that is a privileged position, and we are trying to build an ecosystem of clients that we allocate power to that are going to be the leaders in the space as it continues to grow.

Mike Intrator: You know, you made a comment before that, you know, hey, you know, are you able to coordinate your securing of data center capacity with demand, and demand is off the charts. Like, I don't wanna be flip about this, right? Like the truth of the matter is, you know, the limiting factor isn't just power. It's labor, it's memory, it's storage, it's, you know, our ability to bring up infrastructure. We're really orchestrating the coordination of all of those things so that we're able to deliver infrastructure to our clients, so they can depend upon the quality and scale of the infrastructure that they require to be able to drive their business.

Michael Intrator: You know, you made a comment before that, you know, hey, you know, are you able to coordinate your securing of data center capacity with demand, and demand is off the charts. Like, I don't wanna be flip about this, right? Like the truth of the matter is, you know, the limiting factor isn't just power. It's labor, it's memory, it's storage, it's, you know, our ability to bring up infrastructure.

Speaker #5: You made a comment before that, "Hey, are you able to coordinate your securing of data center capacity with demand and demand is off the charts?" I don't want to be flip about this.

Speaker #5: Right? The truth of the matter is, the limiting factor isn't just power. It's labor. It's memory. It's storage. It's our ability to bring up infrastructure.

Speaker #5: And so, we're really orchestrating the coordination of all of those things so that we're able to deliver infrastructure to our clients, so they can depend upon the quality and scale of the infrastructure that they require to be able to drive their business.

Michael Intrator: We're really orchestrating the coordination of all of those things so that we're able to deliver infrastructure to our clients, so they can depend upon the quality and scale of the infrastructure that they require to be able to drive their business.

Speaker #9: Okay. Great. Thank you.

Nehal Chokshi: Okay, great. Thank you.

Speaker #4: That concludes the Q&A session. I will now turn the call back to Mike for closing remarks. Mike, go ahead.

Operator: That concludes the Q&A session. I will now turn the call back to Mike for closing remarks. Mike, go ahead.

Speaker #5: Thank you. So as we conclude, I want to thank the CoreWeave team, our customers, and our partners. None of these accomplishments would have been possible without you.

Mike Intrator: Thank you. As we conclude, I wanna thank the CoreWeave team and our customers, and partners. None of these accomplishments would have been possible without you. I'm incredibly proud of the growth and the execution that CoreWeave has delivered across every part of our company. Our focus, discipline, and commitment to innovation and operational excellence will keep us at the forefront of this revolution. It was truly an amazing quarter. We look forward to speaking to you guys as we continue to move through the year to update you on our progress. Thank you.

Michael Intrator: Thank you. As we conclude, I wanna thank the CoreWeave team and our customers, and partners. None of these accomplishments would have been possible without you. I'm incredibly proud of the growth and the execution that CoreWeave has delivered across every part of our company. Our focus, discipline, and commitment to innovation and operational excellence will keep us at the forefront of this revolution. It was truly an amazing quarter. We look forward to speaking to you guys as we continue to move through the year to update you on our progress. Thank you.

Speaker #5: I'm incredibly proud of the growth and the execution that CoreWeave has delivered across every part of our company. Our focus, discipline, and commitment to innovation and operational excellence will keep us at the forefront of this revolution.

Speaker #5: It was truly an amazing quarter, and we look forward to speaking to you guys as we continue to move through the year to update you on our progress.

Speaker #5: Thank you.

Operator: This concludes today's call. Thank you for attending. You may now disconnect.