VAST DATA RAISES $1B, HITS $30B VALUATION
AI DESK■ 2 MIN READ
WED, APR 22, 2026■ AI-SUMMARIZED FROM 2 SOURCES BELOW
Vast Data, a software infrastructure company focused on AI data management, closed a $1 billion Series F funding round at a $30 billion valuation. The round includes backing from Nvidia and a secondary offering component.
Vast Data announced the funding milestone on Wednesday, cementing its position as a major player in enterprise data infrastructure. The company develops software for managing large-scale datasets with emphasis on AI and machine learning workloads.
Nvidia's participation underscores the GPU maker's investment strategy in companies building AI-adjacent infrastructure. The funding round also included a secondary offering, allowing existing shareholders to sell portions of their stakes.
The $30 billion valuation represents a significant jump for the company, reflecting investor confidence in the data infrastructure space. As enterprises scale AI applications, demand for robust systems to manage massive datasets has intensified.
Vast Data's platform serves organizations handling petabyte-scale data operations. The company competes in a crowded field of data infrastructure providers, including players like Databricks and others focused on analytics and machine learning pipelines.
The funding provides capital for product development, market expansion, and talent acquisition. Data infrastructure has become a critical layer in enterprise AI stacks, as companies move beyond proof-of-concept deployments toward production systems handling real-world workloads.
Vast Data's ability to attract $1 billion at this valuation reflects broader investor appetite for companies addressing bottlenecks in AI infrastructure deployment. As organizations struggle with data management challenges at scale, solutions that optimize storage, retrieval, and processing of large datasets remain attractive investment targets.
The company joins a growing list of infrastructure startups achieving multi-billion-dollar valuations in recent years, driven partly by accelerating enterprise AI adoption.
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