VAST Data, the company behind what it describes as an “AI operating system”, has closed a $1 billion Series F funding round, tripling its valuation to $30 billion and cementing its position at the centre of the rapidly expanding artificial intelligence infrastructure market.

The round was led by Drive Capital, with Access Industries acting as co-lead, and saw participation from both existing and new investors, including Fidelity Management & Research Company, NEA, and NVIDIA. The financing includes a mix of primary and secondary capital and marks a sharp leap from the company’s $9.1 billion valuation in late 2023.

The scale of the raise reflects growing investor conviction that the next phase of AI development will be defined not just by models, but by the underlying data infrastructure required to build, train, and deploy them at scale.

Primary proceeds from the round will be used to accelerate VAST Data’s global expansion, deepen partnerships, and pursue strategic acquisitions aimed at extending its technological footprint.

What you should know 

At the heart of VAST Data’s pitch is a fundamental claim: that traditional data architectures are not built for the demands of modern AI.

Founded in 2016, at the early stages of the deep learning wave, the company set out to redesign distributed systems from first principles. Its core innovation, known as Disaggregated Shared Everything (DASE), aims to eliminate longstanding trade-offs between performance, scalability, and cost.

Over time, that foundation has evolved into a broader platform, the VAST AI Operating System which integrates data storage, compute, and real-time processing into a single unified layer.

This approach collapses what were once separate components of the technology stack, allowing organisations to manage data, train AI models, and run applications within a single system.

The shift is increasingly relevant as AI workloads become more complex and interconnected. Rather than operating in silos, applications, models, and infrastructure are now tightly coupled, with data acting as the central organising layer.

“We are already supporting AI environments spanning millions of GPUs globally, operating across every layer of the AI stack. 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 global scale,” said Renen Hallak, Founder and CEO, VAST Data.

A critical layer in the global AI buildout

The company’s technology is already embedded in some of the world’s most advanced AI environments. Organisations ranging from hyperscale cloud providers to enterprise customers and public sector institutions rely on VAST Data’s platform to manage and process large volumes of data.

Its systems underpin environments that support millions of graphics processing units (GPUs), powering both training and inference workloads across industries.

As the global AI buildout accelerates, spanning data centres, specialised chips, and software ecosystems, data infrastructure is emerging as a critical bottleneck. Companies that can efficiently store, organise, and process data at scale are becoming essential to the entire value chain.

VAST Data is positioning itself as one of those foundational layers, effectively acting as the connective tissue between hardware, models, and applications.

Strong growth metrics reinforce investor confidence

Beyond its technology, the company’s financial performance has also played a key role in attracting investor interest.

VAST Data reports more than $4 billion in cumulative bookings and exited its most recent fiscal year with over $500 million in committed annual recurring revenue (CARR). The company is also operating with positive margins and free cash flow, an increasingly rare combination among high-growth AI infrastructure firms.

Notably, it posted a Rule of X score of 228%, a metric used to measure the balance between growth and profitability. The figure suggests the company is scaling rapidly while maintaining financial discipline, a factor that has become more important as investors scrutinise the sustainability of AI businesses.

Positioned for the next phase of AI expansion

The latest funding comes at a time when AI is moving from experimentation to industrial-scale deployment, with analysts projecting trillions of dollars in economic impact over the coming decades.

This transition is driving a massive buildout of infrastructure, often described as “AI factories”, capable of handling unprecedented levels of parallel computing.

In this environment, VAST Data’s integrated approach to data and computation could prove increasingly valuable, particularly as organisations look to simplify complex architectures while maintaining performance at scale.

The company’s strategy is to position its platform as the operating system for this new AI-driven world, sitting at the centre of how data is stored, processed, and utilised.

With fresh capital, strong growth metrics, and rising demand for AI infrastructure, VAST Data is now entering a new phase, one that will test whether it can maintain its momentum as competition intensifies and the stakes continue to rise.

Talking Points

It is striking that VAST Data’s valuation has more than tripled in under two years, signalling just how critical data infrastructure has become in the global AI race.

The company’s core thesis that traditional data architectures are not built for modern AI workloads resonates strongly as enterprises struggle with fragmented, complex systems.

At Techparley, we see VAST Data’s unified “AI operating system” approach as part of a broader shift towards collapsing the data, compute, and application layers into a single, more efficient stack.

This is particularly important as AI moves from experimentation to industrial-scale deployment, where performance, speed, and cost efficiency become non-negotiable.

The scale at which VAST is already operating, supporting environments with millions of GPUs highlights how quickly AI infrastructure is evolving into a high-stakes, capital-intensive space.

The company’s strong financial metrics, particularly its balance of growth and profitability, position it favourably in a market where many AI startups are still struggling to prove sustainable business models.

If VAST Data can sustain its growth while delivering on its promise of simplifying AI infrastructure, it could become one of the defining platforms underpinning the next generation of global AI systems.

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