
New York-based AI operating system company VAST Data raised about $1 billion in a Series F funding round led by Drive Capital and Access Industries, valuing the company at around $30 billion. The deal included both primary and secondary capital.
The round also saw participation from existing investors, including Fidelity Management & Research Company, NEA and NVIDIA, as well as new investors. The company plans to use the funds to strengthen its position, and accelerate global growth, including through strategic deals to expand its technology and partnerships.
VAST Data redesigned distributed systems for a future in which AI needs a new way to handle data and compute. It built DASE (Disaggregated Shared Everything), a new architecture that removes old trade-offs between scale, simplicity, performance, and cost.
Over the past decade, VAST has grown this base into a complete data and computing platform built for modern AI. Today, the VAST AI Operating System brings data, compute, and real-time processing together into a single system. This removes separate layers in the tech stack and lets organizations build, train, and run AI models at a global scale, along with the apps and agents that rely on them.
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Commercially, the VAST AI OS is now a key part of global AI data centers. Companies and organizations such as CoreWeave, Lowe’s, the U.S. Air Force, and Cursor use VAST to store, organize, and analyze data. It supports large-scale environments with millions of GPUs and advanced AI training and inference systems.
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“We are already supporting AI environments spanning millions of GPUs globally, operating across every layer of the AI stack,” said Renen Hallak, Founder and CEO of VAST Data. “What is becoming clear is that these layers are no longer independent. Applications, models, and infrastructure now operate as a single system through data. VAST sits at the center of how that system works, which is why we are seeing this level of demand at a global scale.”
“The scale and speed of AI adoption are creating a new class of infrastructure company,” said Chris Olsen, Co-Founder and Partner at Drive Capital. “VAST is emerging as the clear leader in this category, with the architecture and momentum to support the world’s most demanding AI environments. The step-change in valuation reflects both that momentum and our conviction in VAST’s role at the center of this market.”
“As we push the boundaries of large scale model training, the foundation of our infrastructure becomes critical,” said Timothée Lacroix, Co Founder and CTO of Mistral AI. “VAST’s data platform enables us to efficiently manage and scale the massive datasets required to train frontier models, ensuring high performance and flexibility across our training pipelines.”
"The VAST platform is a key enabling technology for next-gen AI infrastructure initiatives – providing a modern, flexible data architecture for Gen AI applications and agentic workflows," said Larry Feinsmith, Managing Director, Head of Global Tech Strategy, Innovation and Partnerships at JPMorganChase.
"Our partnership with VAST Data has grown more than 10x this past year and continues to accelerate — a reflection of how critical an AI data platform is to training and inference workloads on Crusoe Cloud. Together, we've built a storage service that many model labs, leading AI agent companies, and physical AI pioneers rely on. This milestone for VAST validates the essential role they play in helping us give AI infrastructure engineers and developers the seamless, industrial-scale foundation they need to build the future of AI,” said Erwan Menard, SVP Product Management at Crusoe.
About VAST Data
Founded in 2016 by Renen Hallak, Jeff Denworth, and Shachar Fienblit, VAST Data is an AI operating system company that provides a unified software platform built for modern AI systems. Its VAST AI OS combines data, compute, and agent execution into one scalable system, allowing organizations to run AI agents, process real-time data, and automate complex workflows at a global scale. It is built on the DASE architecture, which removes traditional trade-offs between performance, scale, simplicity, and reliability, turning VAST into a global infrastructure for AI.








