CoreWeave, Inc.
CoreWeave, Inc. is a U.S.-based cloud infrastructure company built specifically for AI and high-performance computing workloads. It sells access to its CoreWeave Cloud Platform, combining proprietary software with specialized infrastructure for model training, inference, agent development, and AI application hosting.
Fiscal year 2025 · change from previous year
Development 2023–2025
Business
Share of revenueCompute, networking, storage, and orchestration built for AI training and inference.
Longer-term contracted cloud capacity sold to large customers with predictable usage.
Usage-based compute sold without long-term commitment for flexible workloads.
Software tools and workflow capabilities for model and agent development, including Weights & Biases.
Customer support, field engineering, and operational services tied to platform deployment and performance.
Customers
CoreWeave sells primarily to large AI labs, hyperscale technology customers, and enterprises running compute-intensive AI workloads. Revenue is highly concentrated: Microsoft represented about 67% of 2025 revenue, while OpenAI and Meta are expected to become major future customers under long-term commitments. The company also serves customers that need consultative technical support to deploy, optimize, and productionize AI systems at scale.
They buy large-scale training and inference capacity for frontier models and continuous experimentation.
They commit to large multi-year cloud capacity agreements for AI workloads and platform scaling.
They use CoreWeave for agent hosting, model deployment, and production AI workloads.
They use tools such as Weights & Biases for model development, tracking, and workflow management.
Strategy
CoreWeave is investing aggressively in infrastructure and go-to-market capabilities to expand its AI cloud platform and capture demand from frontier AI customers. It is also broadening the platform through software and acquisitions, including Weights & Biases, while trying to deepen long-term customer commitments and diversify beyond a small number of large accounts.
Demand is concentrated in compute-intensive AI workloads that require more specialized capacity.
Long-term contracts improve revenue visibility and support financing for infrastructure build-out.
Software tools increase customer stickiness and expand use cases beyond raw compute.
The business is capital intensive and needs scale economics to reduce unit costs over time.
Geography
Q1/2026CoreWeave is headquartered in the United States and its business is tied to AI demand across North America and other developed markets. The filings do not disclose a country-level revenue split, but the customer base includes global AI labs and enterprises, so geographic exposure is driven more by customer location and data-center footprint than by a single domestic market. Power availability, data-center access, and regional customer relationships are important operational constraints.
Share of the revenue the company reports by geography.
Risks
CoreWeave’s biggest risks come from customer concentration, heavy infrastructure dependence, and the need for large ongoing capital investment. The company also faces execution risk around power access, data-center availability, supplier concentration, and the possibility that major customers build their own infrastructure or reduce demand.
- Customer concentrationImpact: CriticalLikelihood: Medium
A large share of revenue comes from a small number of customers, so any demand change has outsized impact.
Exposure: Microsoft was about 67% of 2025 revenue; OpenAI and Meta are expected to become significant customers.
- Power and data-center availabilityImpact: HighLikelihood: High
The platform depends on sufficient power and reliable facilities to operate AI infrastructure at scale.
Exposure - Supplier concentration and equipment availabilityImpact: HighLikelihood: Medium
Specialized servers and infrastructure components are sourced from a limited supplier base.
Exposure: Disruptions could delay build-outs or replacement of defective equipment.
- Capital intensity and financing riskImpact: HighLikelihood: Medium
Growth requires continued investment in data centers, servers, and network infrastructure.
Exposure: Future expansion may require significant debt and/or equity financing.
- Customer self-supply and competitive substitutionImpact: MediumLikelihood: Low
Large customers may build their own infrastructure or redesign systems to use less of CoreWeave's services.
Exposure
Accounting
Judgemental itemsContract terms and usage patterns determine when revenue is recognized and how much is deferred.
Impact: Affects revenue timing, remaining performance obligations, and quarterly comparability
Servers, networking equipment, and power installations are capital intensive and depreciated over time.
Impact: Directly affects gross margin and operating loss trajectory
Leased facilities and related obligations are central to capacity expansion.
Impact: Affects balance sheet liabilities, rent expense, and cash flow presentation
The acquisition requires allocation of purchase price to acquired assets and intangibles.
Impact: Can create amortization expense and future impairment risk
Large contracts with concentrated customers require judgment on collectability and protections.
Impact: Affects receivables, deferred revenue, and bad-debt exposure
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Last updated: 24/09/2026