VAST Data has entered into a commercial agreement worth US$1.17 billion with CoreWeave, extending a long-term partnership that positions VAST as the primary data foundation for CoreWeave’s AI cloud. The deal strengthens collaboration between the two companies as they work to build infrastructure capable of supporting the next generation of artificial intelligence systems.
Under the agreement, VAST’s AI Operating System will continue to underpin CoreWeave’s cloud network, designed to provide instant access to large datasets and improve performance for AI training and inference workloads. The system allows CoreWeave to scale data operations across its distributed data centres while maintaining consistency and reliability in high-demand computing environments.
The partnership also includes plans to develop advanced data services that integrate across CoreWeave’s technology stack, improving data flow and model design efficiency. The companies say this alignment will help organisations streamline data-intensive operations and enhance the performance of large-scale AI deployments.
Renen Hallak (pictured), CEO of VAST Data, said the collaboration reflects a close working relationship developed over several years. “We’ve worked side by side at both the business and technical level,” he said. “By aligning our development paths, we’re able to deliver an AI platform designed specifically for large-scale, data-driven workloads.”
Brian Venturo, co-founder and Chief Strategy Officer at CoreWeave, said VAST’s technology plays a central role in how the company builds and manages its infrastructure. “The VAST AI Operating System supports how we design and deliver our AI cloud,” he said. “This partnership allows us to provide scalable and efficient infrastructure for our customers’ most demanding workloads.”
The agreement aims to combine CoreWeave’s GPU-accelerated computing environment with VAST’s AI-focused data management platform, creating what both companies describe as an intelligent data architecture for continuous model training, real-time inference, and high-volume processing. The deal underscores the rapid evolution of infrastructure technologies that underpin artificial intelligence development, with both firms contributing to the growing demand for scalable, high-performance computing solutions in sectors such as research, finance, healthcare, and defence.
