VAST Data Lands New Funding at $30 Billion Valuation

VAST Data just raised a new Series F round at a $30 billion valuation, which is a huge leap from the $9.1 billion valuation it got in late 2023 during its Series E. The round brought in roughly $1 billion in combined primary and secondary funding, and the company says it plans to use that money to grow internationally, deepen partnerships, and pursue strategic deals.

At the center of VAST’s story is the idea that AI workloads need a different kind of foundation. Instead of keeping data, compute, and real-time processing in separate buckets, VAST says its platform combines them into a single system. That pitch is landing at a time when companies building AI models are dealing with larger datasets, faster inference needs, and rising pressure to tie infrastructure choices directly to application performance. In that context, VAST is trying to position itself as a key layer of the modern AI stack.

The company’s financials also help explain why this round is getting attention. VAST says it has now crossed $4 billion in cumulative bookings and finished its last fiscal year with more than $500 million in committed annual recurring revenue. It also says it is operating with a positive operating margin and positive free cash flow. For an AI infrastructure company, that mix of strong growth and profitability makes the story more convincing. It tells investors this is not just a company with a big narrative, but one with real commercial traction.

The bigger picture is just as important. Investors are still making major bets on companies that power the infrastructure beneath AI, especially when those companies can point to real adoption and disciplined execution. VAST says its technology is already being used in large AI deployments across enterprises, cloud providers, and public sector organizations. That makes this funding round feel like part of a broader trend: while most attention stays on AI applications, some of the biggest winners are still being built deeper in the stack.