CoreWeave, a cloud startup specializing in GPU-accelerated workloads, has rapidly emerged as a major player in the generative AI boom. Founded in 2017 by former commodities traders, the company initially focused on cryptocurrency mining before pivoting to GPU acceleration at scale. With a specialized cloud infrastructure spanning seven facilities, CoreWeave quickly gained attention and secured significant investments.
In April, the company raised $221 million in a Series B funding round, which included an investment from Nvidia. An additional $200 million funding was secured in May. CoreWeave’s revenue is projected to reach $500 million this year, with nearly $2 billion already contracted for next year. Microsoft has also committed to spending potentially billions of dollars on CoreWeave’s cloud computing infrastructure.
One factor contributing to CoreWeave’s success is Nvidia’s strategic allocation of its latest AI server chips to the company. Nvidia has diverted these chips away from top cloud providers such as AWS, which are developing their own AI chips to reduce reliance on Nvidia. This advantage has allowed CoreWeave to meet the increasing demand for GPU acceleration.
While CoreWeave acknowledges that there will be a variety of infrastructure solutions to support different types of AI models, they believe that GPUs will continue to be crucial for cutting-edge and compute-intensive models. However, the current shortage of GPU supply is expected to persist for at least another two to three years.
Top AI companies, like Inflection AI, have turned to CoreWeave to build their GPU clusters. CoreWeave collaborates closely with clients to develop custom solutions, leveraging their expertise in executing large-scale projects.
With their rapid rise in the industry, CoreWeave is well-positioned to capitalize on the growing demand for GPU cloud services. The future looks promising for the company as they continue to dominate the market and establish themselves as a key player in the GPU cloud industry.