Meta Platforms has signed a massive agreement with CoreWeave worth $14.2 billion, which will provide the tech giant with access to modern computing power for the development of artificial intelligence. CoreWeave, specializing in next-generation cloud infrastructure, will grant Meta access to advanced Nvidia GB300 graphics processors.
This is reported by Finway
Strengthening CoreWeave’s Position in the Cloud Computing Market
This agreement marks the largest in CoreWeave’s history and reflects the rapid growth in demand for infrastructure to train and deploy AI models. CoreWeave belongs to the neocloud providers that offer high-performance GPU rentals to companies competing with players like Nebius Group and Nscale Global. Since its IPO in March 2025, CoreWeave’s shares have more than tripled, reflecting the high demand for computing power for artificial intelligence.
The contract with Meta helps CoreWeave diversify its customer base and reduce dependence on Microsoft, which generated 71% of the company’s revenue in the second quarter of 2025.
The intractor emphasized that this is “a step in the right direction,” especially after similar multi-billion dollar deals with OpenAI.
Meta’s Investments in AI and Infrastructure Development
Meta is actively increasing its spending on artificial intelligence infrastructure. As Mark Zuckerberg noted, the company’s capital investments could reach $72 billion in 2024, a significant portion of which will be directed specifically towards AI and data centers. This has already made Meta one of the leaders in infrastructure investments for artificial intelligence.
CoreWeave, like other neocloud companies, is using borrowed funds to scale its infrastructure, which is a typical strategy for major market players. For example, Meta raised $29 billion for the construction of a data center in Louisiana, while Oracle issued $18 billion in bonds to finance OpenAI’s infrastructure.
It was also recently revealed that CoreWeave has entered into an agreement to acquire the miner Core Scientific for $9 billion, confirming its strategic plans to expand its presence in the artificial intelligence infrastructure sector.