CoreWeave Inc reported quarterly revenue that topped analyst expectations on Thursday as the specialized cloud operator capitalized on rising demand for high-performance computing used to train and deploy artificial intelligence models. The company said total revenue for the first quarter reached $2.08 billion, outpacing the LSEG consensus estimate of $1.97 billion.
Despite the revenue beat, CoreWeave’s cost base expanded sharply. Operating expenses more than doubled to $2.22 billion in the quarter, a surge that left shares trading flat in volatile extended-session activity following the results. The company’s financials underscore a business model that is intensely capital-intensive, as CoreWeave has pushed to expand data center capacity to keep pace with customer demand. Management has pursued a build-out strategy that requires billions in upfront investment.
CoreWeave’s market position rests on specialized infrastructure and a close working relationship with AI chip leader Nvidia, which the company says gives it early and large-scale access to highly sought-after hardware. This combination has made CoreWeave a destination for AI startups and an increasingly chosen option for enterprise customers seeking an alternative to the capacity constraints at larger cloud providers.
Customer commitments have reflected that demand. In the past month, CoreWeave announced an expanded $21 billion agreement to provide additional cloud computing capacity to Meta, a $6 billion deal with trading firm Jane Street, and a third agreement with AI company Anthropic. These contracts sit alongside a growing pipeline: CoreWeave reported a revenue backlog of $99.4 billion as of March 31, up from $66.8 billion at the end of December.
The results highlight two competing dynamics. On one hand, the firm is benefiting from surging demand for AI compute, which translated into revenue above analyst forecasts. On the other hand, the rapid expansion of operating costs illustrates the capital intensity of scaling AI infrastructure and the expense volatility associated with an aggressive capacity rollout.
Contextual note: The data points above reflect the company’s reported first-quarter results, recent customer agreements, and backlog as stated by the company and compiled data. The company’s operating-expense increase and its strategy to expand data center capacity are presented as reported.