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.

46,9 %

71,7 %

−22,7 %

+167,9 %

0.46

0.46

— CoreWeave, Inc.
%
AI cloud infrastructure80% Compute, networking, storage, and orchestration built for AI training and inference.
Committed cloud services70% Longer-term contracted cloud capacity sold to large customers with predictable usage.
On-demand cloud services10% Usage-based compute sold without long-term commitment for flexible workloads.
Developer platform software10% Software tools and workflow capabilities for model and agent development, including Weights & Biases.
Infrastructure and support services10% Customer support, field engineering, and operational services tied to platform deployment and performance.

CoreWeave sells primarily to large AI labs, hyperscale technology customers, and enterprises running compute-intensive...

  • AI labs and frontier model developersprimary

    They buy large-scale training and inference capacity for frontier models and continuous experimentation.

  • Hyperscale technology customersprimary

    They commit to large multi-year cloud capacity agreements for AI workloads and platform scaling.

  • Enterprises adopting AI applicationssecondary

    They use CoreWeave for agent hosting, model deployment, and production AI workloads.

  • Developer platform userssecondary

    They use tools such as Weights & Biases for model development, tracking, and workflow management.

CoreWeave is headquartered in the United States and its business is tied to AI demand across North America and other...

  • •Headquartered in the United States
  • •Country-level revenue disclosure was not provided in the excerpts
  • •Business depends on data-center access and power availability
  • •Customer relationships span AI labs and enterprises across geographies
  • •Operational footprint matters because capacity is tied to infrastructure location

CoreWeave is investing aggressively in infrastructure and go-to-market capabilities to expand its AI cloud platform and...

01
Scale AI infrastructure capacityshort-term

Demand is concentrated in compute-intensive AI workloads that require more specialized capacity.

02
Grow committed customer relationshipsshort-term

Long-term contracts improve revenue visibility and support financing for infrastructure build-out.

03
Broaden platform capabilitiesmedium-term

Software tools increase customer stickiness and expand use cases beyond raw compute.

04
Improve operating efficiencymedium-term

The business is capital intensive and needs scale economics to reduce unit costs over time.

CoreWeave’s biggest risks come from customer concentration, heavy infrastructure dependence, and the need for large...

critical

Customer concentration

A large share of revenue comes from a small number of customers, so any demand change has outsized impact.

Scope
Microsoft was about 67% of 2025 revenue; OpenAI and Meta are expected to become significant customers.
Materiality
high
high

Power and data-center availability

The platform depends on sufficient power and reliable facilities to operate AI infrastructure at scale.

Scope
Power shortages, outages, or capacity constraints could limit expansion and service quality.
Materiality
high
high

Supplier concentration and equipment availability

Specialized servers and infrastructure components are sourced from a limited supplier base.

Scope
Disruptions could delay build-outs or replacement of defective equipment.
Materiality
high
high

Capital intensity and financing risk

Growth requires continued investment in data centers, servers, and network infrastructure.

Scope
Future expansion may require significant debt and/or equity financing.
Materiality
high
medium

Customer self-supply and competitive substitution

Large customers may build their own infrastructure or redesign systems to use less of CoreWeave's services.

Scope
This could reduce renewals, expansion, and utilization of committed capacity.
Materiality
medium
Revenue recognition on committed contracts
Affects revenue timing, remaining performance obligations, and quarterly comparability
Depreciation of infrastructure assets
Directly affects gross margin and operating loss trajectory
Lease accounting and data-center commitments
Affects balance sheet liabilities, rent expense, and cash flow presentation
Acquisition accounting for Weights & Biases
Can create amortization expense and future impairment risk
Customer credit risk and prepayments
Affects receivables, deferred revenue, and bad-debt exposure

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: 28/04/2026