VAST Data Raises $1B Series F at $30B Valuation
VAST Data secures $1B in Series F funding with NVIDIA backing, tripling its valuation to $30B. Here's what this AI funding news means.
TL;DR
VAST Data has raised $1 billion in Series F funding, pushing its valuation to $30 billion — more than triple what it was in 2023. NVIDIA led the charge among investors, backing the company's mission to build unified data infrastructure for GPU-powered AI workloads. With over $500M in annual recurring revenue and actual profitability, VAST isn't just another overhyped startup — it's a rare AI infrastructure company that has the numbers to back the buzz.
VAST Data Raises $1 Billion in Series F, Triples Valuation to $30 Billion With NVIDIA Backing
In one of the most significant AI funding news moments of 2026, VAST Data has officially closed its Series F financing round at a staggering $30 billion valuation — more than tripling its previous worth in just over two years. The New York-headquartered company pulled in approximately $1 billion in combined primary and secondary capital, drawing participation from some of the most formidable names in global technology investment. This landmark development not only cements VAST Data's position as a leader in AI infrastructure but also signals how urgently the global tech ecosystem is doubling down on the data layer that powers artificial intelligence at scale.
For those tracking AI funding trends closely, this round stands out not just because of the dollar figure, but because of what VAST Data represents — a company that has quietly built the backbone of modern AI computing and is now being recognized for that role in a major way.
From $9.1 Billion to $30 Billion: The Funding Milestone That Rewrote the Rules
When VAST Data last raised funds during its Series E round in late 2023, the company was valued at $9.1 billion — already a respectable figure for a data infrastructure company. Fast forward to April 2026, and that number has been torn up and replaced with something more than three times as large. The $30 billion valuation arrived on the back of a $1 billion Series F round, co-led by Drive Capital and Access Industries, with strong participation from existing investors including NVIDIA, Fidelity Management & Research Company, and NEA.
The sheer scale of this jump is not just a reflection of investor enthusiasm — it is a direct result of market demand for the kind of AI data infrastructure that VAST has spent years perfecting. As generative AI models grow larger and more complex, the infrastructure required to support them has become a high-stakes battleground. VAST Data sits squarely in that arena, and investors are clearly betting that its lead will only widen from here. This kind of AI funding trajectory is becoming increasingly common among companies solving real bottlenecks in the AI stack, and VAST's milestone is a textbook example of how valuation can scale when the product genuinely solves a critical problem.
Drive Capital, which led the round, has been known for identifying infrastructure-heavy opportunities in technology. Access Industries, as co-lead, added further institutional depth to a round that also saw secondary capital change hands — meaning some early investors and employees were able to realize gains even as the company continues its aggressive growth phase. Such a structure reflects confidence from both sides of the cap table: existing stakeholders wanted liquidity, while new and returning investors were eager to increase their exposure.
What VAST Data Actually Does — And Why It Matters for AI
To understand why this AI funding round attracted so much heavyweight attention, it helps to understand exactly what VAST Data has built. Founded in 2016 in New York by Renen Hallak, Jeff Denworth, Shachar Fienblit, and Alon Horev, the company began with a single, ambitious thesis: that the traditional trade-offs in data storage — between scale, simplicity, performance, and cost — were not actually necessary. The founders believed that with the right architecture, all four dimensions could be achieved simultaneously.
That belief has since materialized into what VAST calls its AI Operating System — a unified software infrastructure stack that brings together data management, compute, and real-time processing into one coherent platform. Unlike conventional storage solutions that sit separately from computing resources and create bottlenecks, VAST's architecture allows AI workloads to execute directly adjacent to the data they need, dramatically reducing latency and improving the efficiency of AI pipelines. The system supports AI environments running on millions of GPUs worldwide and is actively used by some of the most demanding organizations on the planet.
The company's customer roster tells its own story. CoreWeave, one of the most prominent AI cloud infrastructure providers, relies on VAST. Mistral AI, a rising European large language model company, is a customer. So is Cursor, the AI-powered coding assistant that has gained rapid adoption among developers. Enterprise clients like Lowe's and even the United States Air Force have integrated VAST into their operations. This breadth of customer types — from frontier AI labs to retail giants to defense organizations — speaks to the platform's versatility and resilience. It is not a single-use tool but a foundational layer for the next generation of intelligent systems.
At the The AI World, we have been closely watching how companies building this kind of deep infrastructure are attracting the most serious capital in the market. VAST is precisely the kind of company that illustrates why AI infrastructure is not a supporting act — it is the main event.
NVIDIA's Role and the Strategic Significance of the Investment
Among all the investors in this round, NVIDIA's participation carries particular symbolic and strategic weight. NVIDIA is not just any investor — it is the company whose GPUs have become the fundamental compute unit of the AI era. When NVIDIA chooses to back a data infrastructure company, it is effectively endorsing that company as a critical complement to its own hardware ecosystem.
The relationship between VAST Data and NVIDIA runs deeper than a simple check written into a funding round. VAST's platform is designed from the ground up to work seamlessly with GPU clusters, including support for NVIDIA's BlueField DPUs, which handle control-plane operations inside GPU clusters to eliminate intermediate processing layers. The company has also integrated NVIDIA's NIM microservices into its CNode-X configuration, a GPU-enabled compute node that allows AI workloads to run with direct, high-performance access to VAST's data services. This means that the investment is as much about deepening a technical partnership as it is about financial returns.
From a market perspective, NVIDIA's backing also acts as a powerful signal to other enterprise buyers. If the company whose chips power the AI revolution has chosen to invest in VAST's data infrastructure, that endorsement carries considerable weight in sales conversations. For a company that competes — at least in some segments — with established players like NetApp, Pure Storage, Dell, and the cloud storage offerings from AWS, Google Cloud, and Microsoft Azure, that kind of validation can meaningfully accelerate enterprise adoption. In the world of AI funding, strategic investments from ecosystem players like NVIDIA often carry more influence than their dollar value alone suggests.
Financial Performance and Profitability: A Rare Story in the AI World
In an era where many AI companies burn through cash at alarming rates and talk about profitability as a distant goal, VAST Data's financial profile is genuinely unusual. The company has booked over $4 billion in total cumulative sales and closed its most recent fiscal year with more than $500 million in committed annual recurring revenue. More remarkably, VAST is actually profitable — maintaining positive operating margins and positive free cash flow at a time when most of its peers are still in aggressive investment mode.
This profitability story is central to why the $30 billion valuation is defensible rather than speculative. Investors are not simply betting on future potential; they are valuing a company that has already demonstrated the ability to turn its technology into durable, recurring revenue while growing at an exceptional rate. The combination of high growth and genuine profitability is rare enough in the technology sector, and almost unheard of in the AI infrastructure space specifically. It positions VAST as something closer to a mature technology business than a high-risk startup, even as it continues to operate with the speed and ambition of one.
For readers following AI funding news at The AI World, this kind of financial discipline matters. Many AI-related funding rounds in recent memory have been driven by hype cycles, with companies raising at eye-watering valuations that later proved difficult to justify. VAST's situation is different — the revenue base is real, the customers are paying, and the business generates cash. That makes this particular AI funding milestone more meaningful than it might appear at first glance.
What Comes Next: Expansion, Partnerships, and Strategic Acquisitions
With $1 billion now in hand and a $30 billion valuation backing its ambitions, VAST Data is not planning to slow down. The company has outlined a clear set of priorities for how the new capital will be deployed. Geographical expansion is high on the list, with VAST targeting deeper penetration into international markets where AI infrastructure demand is accelerating rapidly. The company already has approximately 1,200 employees worldwide and has established itself as the most valuable private technology company founded in Israel following the sale of Wiz Calcali Tech.
On the partnership front, VAST intends to strengthen its relationships with hyperscale cloud providers and major enterprise customers. Given that the company already works with names like CoreWeave and operates in environments alongside cloud giants, the next phase is likely to involve more tightly integrated go-to-market partnerships rather than simply selling a standalone product. The technology roadmap also includes strategic acquisitions — a signal that VAST is willing to buy capabilities rather than build everything from scratch as it races to maintain its competitive edge.
The broader context here is that the AI infrastructure market is undergoing a fundamental transformation. As more organizations move from AI experimentation to production deployment, the demands placed on the data layer are becoming more intense and more complex. Real-time inference, persistent agentic memory, continuous AI pipelines — all of these require a data platform that can operate at the speed and scale of the models themselves. VAST's architecture was designed for precisely this environment, and the company's upcoming AI OS releases promise features like hyperscale vector indexing, native SQL analytics, managed Kubernetes support, and S3 over RDMA connectivity that position it at the forefront of this next wave.
At The AI World, we believe that the infrastructure companies winning in 2026 are the ones that understood the AI stack's requirements years before the rest of the market caught up. VAST Data's $1 billion raise and $30 billion valuation are proof that being early, being right, and being profitable can rewrite what is possible in the world of AI funding. This is a story worth watching — and if VAST's momentum continues, this Series F may only be the beginning.
