Vast Data closed a $1 billion Series F financing at a $30 billion valuation, with Drive Capital and Access Industries leading and Nvidia participating alongside Fidelity and NEA; over half a billion of the funding is secondary.

The round cements Vast Data’s status as a central AI infrastructure player, emphasizing its unified AI OS and Disaggregated Shared Everything architecture designed to handle massive AI workloads.

Nvidia’s involvement underscores strategic alignment around GPU-accelerated data processing and AI workloads, reinforcing the market’s belief that the data layer bottleneck is a constraint on AI performance.

The deal signals rising investor appetite for advanced data infrastructure, with implications for competition and collaboration among data storage, processing, and AI software providers as ecosystems evolve.

Key growth initiatives include using capital to expand technology footprint, pursue partnerships, scale hyperscaler integrations, and strengthen reliability and unified platform adoption in AI deployments.

Vast Data argues the data layer is the binding constraint on AI performance, a view reinforced by Nvidia’s backing and integration signals.

Analysts view Vast as a central AI operating system, unifying storage, database, compute, and agentic workflows to enable global model development and deployment at scale.

The company highlights its DASE architecture and the VAST AI OS, which aim to minimize data movement and support AI model training and inference at scale.

Funding is expected to solidify Vast Data’s leadership position and support growth and strategic partnerships worldwide.

Customers and partners span CoreWeave, Lowe’s, the U.S. Air Force, Cursor, Crusoe, and others, illustrating broad adoption across sectors.

Financials point to strong momentum: over $4 billion in cumulative bookings and more than $500 million in committed ARR, with positive operating margins and substantial cash generation.

Nvidia’s participation reinforces industry support for Vast Data’s approach to AI infrastructure.