VAST Data Hits $30 Billion Valuation Amid "AI Revolution"

In a much-anticipated announcement, VAST Data has scored approximately $1 billion in Series F funding at a valuation of $30 billion. It's a move that illustrates the growing value of data management in a widening market for AI inference.

VAST, founded in 2016, has seen its fortunes rise with the growth of AI. Its current valuation represents more than a 230% increase over its $9.1 billion Series E valuation in 2023. At that time, the company had just realized $1 billion in cumulative software bookings. Recently, the company posted more than $4 billion in bookings, prompting ongoing chatter about a potential IPO.

While VAST is silent on the IPO matter for now, it’s not the only data management provider thought to be going public. Competitor DDN recently hired Kevin Delane (ex-Salesforce, Pure Storage) as Chief Revenue Officer and referred to its own IPO ambitions in the press release announcing Delane’s hire: “The appointment comes at a pivotal moment for DDN, following recent executive leadership additions and increasing market momentum amid reports of a potential IPO.”

Both VAST and DDN cite a turning point in the market evident in burgeoning demand for the kind of data management functions they bring to AI. In a blog celebrating the new funding, Jeff Denworth, VAST Data Co-Founder, wrote:

“[I]t’s fair to say that VAST is working hard to build a generational company at the center of the data and AI revolution…. [T]he universal need for scale was not so obvious until reasoning models and agents emerged in 2024-2025, and this was the spark that ignited a global re-platforming of the world’s data systems…”

In DDN’s press release announcing his hire, CRO Kevin Delane stated: “What’s happening in the market right now is a once-in-a-generation platform shift, from compute-led innovation to data-centric AI infrastructure.”

What VAST Does

VAST Data, a Futuriom 50 company that began life creating parallel data processing for HPC, now offers an “AI operating system” that efficiently supports data management from ingestion through to AI workflows, including the development of agents. Its Disaggregated, Shared Everything (DASE) architecture keeps stateless CPUs separate from storage, letting customers add CPUs as needed while storing data in a single pool of commodity flash SSD. According to VAST Data, this approach, along with comprehensive deduplication and compression of data, delivers consistent performance for any workload.

DDN, which also started as an HPC storage system, also has continually upgraded its products to fit accelerated computing and AI, adding KV caching, vectorization, and a slew of other functions to a platform that, like VAST’s, supports these capabilities for all forms of storage—block, file, and object, aka universal storage.

There are other firms competing in the space, including WEKA and VDURA, which have also set their sights on data management for agentic AI and inferencing, offering products that support universal storage with high-speed storage media, parallel file systems, data streaming, caching, and analytics.

Inferencing Is Key

For VAST and its competitors, the AI market for inference is particularly attractive. Late in 2025, VAST made moves to acknowledge growing interest from enterprise customers seeking to adapt LLMs to fit their specific applications. This is a market that is anticipated to grow, particularly as agentic AI takes hold, since agents typically require continual rounds of inference.

Enterprise customers already use VAST, including Lowe’s, U.S. Air Force, Cursor, CVS Health, Mitre, U.S. Department of Energy, and NASA. And that segment has become more strategic, not just for VAST but for its competitors. In his blog today, Jeff Denworth said: “[O]ur experience at the AI-builder frontier provides us with a unique perspective into the future of AI scaling that we bring to enterprise customer deployments.”

VAST Data’s Series F round was led by Drive Capital and included participation from Access Industries, NVIDIA, Fidelity Management & Research Company, and NEA, among others. The funding will be used to further growth, VAST said, “including strategic transactions that expand its technology footprint and partnerships.”

Futuriom Take: VAST Data’s nearly $1 billion funding at an impressive $30 billion valuation points to a robust and growing market supporting data management for AI. As inferencing progresses, expect to see many more large enterprises supporting VAST and its competitors as they head to IPO.