VAST Data
VAST Data is building the AI Operating System: a unified software infrastructure stack that consolidates data, compute, real-time processing and agentic execution. It is designed to help organizations store, contextualize, reason over and act on data for AI, analytics and data-intensive applications.
At a Glance
- Hyperscalers and AI cloud providers
- Large enterprises
- Government and defense
- Healthcare and life sciences
- +5 more
AI Tools by VAST Data
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VAST Data
AI OS for Agentic Workloads
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Latest News
Introduced VAST DataEnclave for confidential AI on sensitive data and proprietary models.
Announced strategic partnership with Cloudera to deliver an AI data platform anywhere.
Closed Series F financing at a $30 billion valuation in an approximately $1 billion transaction.
Partnered with Microsoft to power the next wave of agentic AI.
Products & Services
Unified software platform combining high-performance storage, database services, containerized compute, real-time processing and agentic execution for AI and data-intensive workloads.
Universal storage foundation that persists files, objects, volumes and tables in a single namespace with erasure coding and data reduction.
AI-native transactional and analytical database supporting structured data, vectors, streams, catalogs, logs and contextual metadata, with ACID compliance.
Serverless compute orchestration and execution framework for scheduled or event-driven Python functions and pipelines, including a native Kafka-compatible broker.
Market Position
VAST positions itself as an AI-native alternative to legacy file/object storage and separate storage, database and compute stacks, using DASE and a unified AI OS to combine performance, scale and simpler operations. Reported alternatives and competitors include WEKA, DDN, Dell Technologies, NetApp, Pure Storage, Qumulo, IBM, HPE, Nutanix and DataStax; it also competes with hyperscaler and lakehouse infrastructure for AI data workloads.
Leadership
Founders
Renen Hallak
Founder and CEO; former first engineer and head of R&D at XtremIO, and previously a member of the CTO team at Time to Know.
Shachar Fienblit
Co-founder and Chief R&D Officer; formerly associated with Kaminario.
Jeff Denworth
Co-founder; storage-industry technical sales and marketing leader with hardware and software experience, and VAST product and commercial strategy leader.
Alon Horev
Co-founder and CTO; previously worked at Cisco and IBM, and founded DigData.
Michael Wing
Co-founder and President; previously Senior Vice President of Dell EMC's $10 billion Primary Storage business.
Executive Team
Renen Hallak
Founder and Chief Executive Officer
Former XtremIO first engineer and head of R&D; previously on the CTO team at Time to Know.
Michael Wing
President
Former Senior Vice President of Dell EMC's Primary Storage business.
Board of Directors
Founding Story
Founded in 2016 at the beginning of the deep-learning era, VAST started from a blank sheet of paper to reimagine distributed systems for AI's massive data and compute requirements. Its initial vision was the Disaggregated Shared Everything (DASE) architecture, intended to remove tradeoffs among scale, simplicity, performance and cost.
Business Model
Revenue Model
Enterprise software subscriptions and capacity/compute licensing, primarily through the Gemini model. Customers purchase hardware directly from verified manufacturing partners while licensing VAST software from VAST; subscriptions commonly include VAST Co-Pilot services.
Target Markets
- Hyperscalers and AI cloud providers
- Large enterprises
- Government and defense
- Healthcare and life sciences
- Financial services
- Universities and scientific research organizations
- AI model training and inference
- RAG and agentic AI applications
- AI factories and hyperscale cloud infrastructure
- Scientific and climate research
- Precision medicine and healthcare research
- Financial-services and quantitative-trading data platforms
- CoreWeave
- Lowe's
- U.S. Air Force
- Cursor