Vast Data has signed a $1.17 billion commercial agreement with CoreWeave to deepen their ongoing collaboration on large-scale AI workloads. CoreWeave, known for providing GPU-accelerated compute for training and running AI models, will use Vast as its primary data platform across its cloud infrastructure.
This deeper partnership means the two companies will be building and planning together more closely. Instead of just connecting systems, they’re aligning what they build next, how data flows, and how customers access it. The idea is to make it simpler for organizations to store massive datasets, train models, and run inference without constantly worrying about bottlenecks or complexity. In short: make the work faster, smoother, and easier to scale as AI workloads keep getting bigger.
Why this partnership matters
Modern AI relies heavily on data, and making that data available at the right time is just as important as having powerful GPUs. Vast focuses on the data layer—how it’s stored, accessed, and kept efficient at massive scale. CoreWeave focuses on the compute layer, offering the GPU muscle needed to train and run models. Bringing those pieces closer together makes it easier for customers to build and operate large AI systems without having to stitch everything together themselves.
As Renen Hallak, founder and CEO of Vast Data, put it: “At Vast, we are building the data foundation for the most ambitious AI initiatives in the world.” He added that the tighter integration with CoreWeave reflects a long-term commitment to working together at both business and technical levels.
CoreWeave highlighted similar aims. Brian Venturo, co-founder and chief strategy officer, said: “The Vast AI Operating System underpins key aspects of how we design and deliver our AI cloud. This partnership enables us to deliver AI infrastructure that is the most performant, scalable, and cost-efficient in the market, while reinforcing the trust and reliability of a data platform that our customers depend on for their most demanding workloads.”
Supporting large, distributed AI workloads
The partnership is also about making performance at scale feel effortless. Vast’s platform is built for huge data center environments and gives quick access to massive datasets without sacrificing reliability. And because CoreWeave can roll it out across its locations, customers get a consistent experience no matter where they run workloads.
That matters when you’re training large models, building agent-based systems, or running real-time inference. The goal is to help customers move faster and scale as their data demands keep growing (which they will).
A signal of continued market momentum
For Vast, the deal adds a steady, long-term revenue stream as it continues picking up momentum with cloud providers and AI labs. The company has previously reported $200 million in annual recurring revenue and has been viewed by analysts as a likely future IPO contender.
CoreWeave, meanwhile, is growing quickly as demand for GPU-powered cloud services continues to rise.
Together, they’re positioning themselves as key building blocks for the next wave of large-scale AI deployment.
This move also builds on VAST’s recent collaboration with NVIDIA to improve the efficiency of AI data pipelines. In both partnerships, the focus is on giving organizations faster, more consistent access to large datasets across training and inference environments. The expanded work with CoreWeave reinforces VAST’s role as a shared data foundation across next-generation AI infrastructure.