VAST Data, the AI Operating System company, announced the closing of its Series F financing at a $30 billion valuation, representing more than a threefold increase from its $9.1 billion Series E valuation in late 2023.

The latest round was led by Drive Capital, with Access Industries acting as co-lead, and included participation from existing investors including Fidelity Management & Research Company, NEA, and NVIDIA, alongside new investors. This financing reflects the accelerating demand for a new data infrastructure stack needed for the development and deployment of artificial generally intelligent systems.

The financing included primary and secondary capital, bringing the total transaction value to approximately $1 billion. Primary proceeds will be used by VAST Data to solidify its position as the AI operating system at the center of the AI ecosystem and to further fuel global growth, including strategic transactions that expand its technology footprint and partnerships.

The Data Computing Foundation That Is Enabling AI at Global Scale

AI is a generational shift set to reshape trillions of dollars of global economic activity. This is now materializing as a massive industrial buildout approaching $100 trillion in scale, spanning AI factories and software systems, powered by a new era of parallel computing at levels previously unimaginable.

Founded in 2016 at the dawn of deep learning, VAST Data reimagined distributed systems for a future where AI would demand a fundamentally new approach to data and compute. Starting from a blank sheet of paper, the company created DASE (Disaggregated Shared Everything), a new architecture designed to break longstanding tradeoffs between scale, simplicity, performance, and cost.

Over the following decade, VAST expanded this foundation into a full data and computing platform aligned to the subsequent waves of modern AI. Today, the VAST AI Operating System sits at the center of this transformation, unifying data, compute, and real-time processing into a single system. This architecture collapses traditionally separate layers of the stack, enabling organizations to build, train, and run AI models while powering the applications and agents that depend on them, all at global scale.

Commercially, the VAST AI OS has become an essential component of the global AI datacenter buildout. From CoreWeave to Lowe’s, from the U.S. Air Force to Cursor, thousands of organizations rely on VAST to store, contextualize, and act on data, supporting environments that power millions of GPUs and some of the world’s most advanced AI training and inference initiatives.