Executive Summary
Generated July 30, 2026
Cloud Infrastructure
CoreWeave
Strategic importance is our editorial rating of how central this entity is to the technology landscape we track; confidence reflects how well-sourced and current the underlying evidence is.
8
Chokepoint Score
8 other entities structurally depend on this one
Steady
Activity
2 recorded changes in the last 90 days
Steady
Momentum
driven mostly by hiring, up 10 since last check
Headquarters
Livingston, New Jersey, USA
Website
Employees
1,100 (2025, approximate)
Founded
2017
Listing
CRWV · NASDAQ
Market Cap
$36.72B
Revenue (TTM)
$6.23B
Price
USD67.3 (-15.43%)
Market data as of Jul 29, 2026, 11:25 AM · Source: Yahoo Finance (delayed). Not investment advice.
Overview
A specialized AI cloud infrastructure provider that builds and operates large-scale GPU data centers, positioning itself as a dedicated AI cloud and competing directly with traditional hyperscalers for AI compute contracts. NVIDIA has invested $2 billion in CoreWeave as part of a plan to build more than 5 gigawatts of AI infrastructure by 2030, and CoreWeave guided to $31-35 billion in 2026 capital expenditure alongside a record $99.4 billion revenue backlog.
Strategic Connections
- Core Scientific: CoreWeave's colocation contract with Core Scientific has expanded to 590 megawatts of leased customer power capacity.
- NVIDIA: CoreWeave's entire infrastructure buildout depends on securing large allocations of NVIDIA's latest GPU generations, including early access to new architectures.
- AI Data Centers: CoreWeave depends on large-scale data center capacity, power and land to deploy and operate its GPU infrastructure.
- AI Data Centers: CoreWeave builds and operates AI data centers as its core business, using this infrastructure category directly.
- Perplexity: Perplexity is among the AI-native customers CoreWeave counts as a partner of choice for GPU cloud infrastructure.
+5 more connections in the Full Analyst Report.
Strategic Risks
- Customer concentration in a small number of large AI lab contracts
- Rising component costs and supply-chain constraints on GPU procurement
- Intensifying competition from traditional hyperscalers building comparable capacity
+1 more in the Full Analyst Report.
Future Outlook
- Continued expansion of gigawatt-scale AI data center capacity through 2030
- Deepening reliance on NVIDIA's latest chip generations as an early-access partner
Sources
5 sources, 79% average source confidence — full citations in the Full Analyst Report.
Generated by InsightNodes — Technology Intelligence Platform. This report reflects sourced, evidence-backed information as of the dates cited above and is not investment advice.
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