VAST Data
NativePrivateUpdated November 3, 2026AI data/storage infrastructure central to AI training stacks
- Website
- www.vastdata.com
- CEO
- Renen Hallak
- Founded
- 2016
- HQ
- New York City, United States
- Total Funding
- $1.4B
- Employees
- 1001-5000
Products & Offerings
VAST AI Operating System
A unified software platform that combines storage, database, serverless compute and agent runtime for AI workloads at scale.
VAST DataStore
The core all-flash storage layer, formerly called Universal Storage, offering fast file, object and block access for AI and HPC clusters.
VAST InsightEngine
Built with NVIDIA, it computes and indexes vector embeddings as data arrives to power real-time RAG and semantic search.
VAST AgentEngine
A low-code environment for deploying, orchestrating and auditing AI agents that work across data and tools on the VAST platform.
VAST DataBase
A transactional and analytical database built into the platform for structured data, metadata and large-scale analytics.
Executive Summary
What they do
- Sells the VAST AI Operating System, combining storage, database and compute in one software platform
- Gives large AI training and inference clusters an all-flash data layer that scales across files and objects
- Adds InsightEngine for retrieval-augmented generation (RAG) and AgentEngine for running AI agents on the same platform
Why it matters
- CoreWeave signed a $1.17B deal making VAST its main data platform
- Valued at $30B after a roughly $1B Series F in 2026, and reports positive free cash flow
- Works closely with NVIDIA, including a CUDA-accelerated data stack announced at VAST Forward 2026
Best fit
- GPU cloud providers and AI labs running large training and inference clusters
- Enterprises combining scattered storage, data lakes and vector search into one AI data platform
- High-performance computing, media and research groups that need fast parallel file access at petabyte scale
Watch-outs
- Premium pricing and complex sizing compared with simpler storage arrays for mid-size use cases
- Newer layers such as AgentEngine and Polaris are less proven than core storage
- Running the whole AI stack on one vendor's platform increases switching costs
Latest News
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VAST Data is a proven choice for AI data infrastructure: it is the main data platform at CoreWeave and partners with other GPU clouds such as Lambda, Nebius and Crusoe. Buyers building or expanding GPU clusters should compare it with WEKA, DDN, Pure Storage and NetApp. Separately, check whether the newer agent and RAG features are mature enough before relying on them beyond storage.
Signal Provenance
Latest observation date and source for each signal category
| Signal Category | Last Updated | Source |
|---|---|---|
Funding Signals Last funding round, Funding stage | Oct 31, 2026 | Montclare research agents |
Hiring Velocity Headcount, Headcount growth | Nov 3, 2026 | Montclare research agents |
Technical Output Research papers, GitHub activity | Nov 3, 2026 | Montclare research agents |
News Sentiment News mentions, News sentiment | Nov 3, 2026 | Montclare research agents |
Partnership Signals Enterprise partnerships, Distribution partners | Nov 3, 2026 | Montclare research agents |
Revenue Indicators ARR estimate, Revenue growth | Nov 3, 2026 | Montclare research agents |
Leadership Signals CEO tenure, Founder-led | Nov 3, 2026 | Montclare research agents |
Competitive Position Category rank, Market share | Nov 3, 2026 | Montclare research agents |
Why this Bluescore?
6 dimensions, each scored 0–10 against all — companies. Each adds its weight × score to the Bluescore — see methodology