V

VAST Data

Scalable data management platform for AI

Overview

VAST Data builds a data platform that stores and manages petabytes of data for AI and big-data workloads. It offers a single global namespace that unifies structured and unstructured data and runs on a scale-out, multi-tenant, zero-trust architecture for fast access and secure processing. Unlike traditional clouds, it combines storage and data management in one stack and emphasizes a new scale-out design and partnerships (e.g., NVIDIA) to reduce cost and complexity. Its goal is to help customers store, access, and analyze massive data sets for AI and other compute-heavy tasks at lower cost and with clearer data insights.

Work here?Claim your company

About VAST Data

Simplify's Rating
Why VAST Data is rated
B
Rated B on Competitive Edge
Rated A on Growth Potential
Rated C on Differentiation

Industries

Data & AnalyticsEnterprise SoftwareCybersecurityAI & Machine Learning

Company Size

1,001-5,000

Company Stage

Private

Total Funding

$881M

Headquarters

New York City, New York

Founded

2016

Get referred to VAST Data

See people who can refer or advise you

Simplify Jobs

Simplify's take

What believers are saying

  • April 2026 Series F valued VAST at $30 billion, signaling investor conviction.
  • DeepL expects roughly triple storage capacity from existing hardware using VAST, October 2026.
  • October 2026 agent-sandbox launches with NVIDIA expand VAST into governed AI operations.

What critics are saying

  • Customer concentration is extreme: 14 customers drove over $10 billion in 2026 commitments.
  • VAST depends on 200 exabytes of flash supply through 2029; shortages choke growth.
  • NVIDIA and hyperscalers can commoditize agent storage, crushing VAST's platform premium by 2028.

What makes VAST Data unique

  • VAST Data powers nine of the top ten frontier AI labs, October 2026.
  • Its AI OS unifies file, object, vector, and agent state management.
  • Hyundai, Kia, and DeepL standardized on VAST in October 2026.

Help us improve and share your feedback! Did you find this helpful?

Funding

Total Funding

$881M

Above

Industry Average

Funded Over

7 Rounds

Notable Investors:
Growth Equity Non VC funding comparison data is currently unavailable. We're working to provide this information soon!
Growth Equity Non VC Funding Comparison Coming Soon

Benefits

  • Flexible Work Hours

Growth & Insights and Company News

6 month growth

1%

1 year growth

0%

2 year growth

0%
Tech Coffee House
Nov 6th, 2026
VAST Data secures US$10B from top customers.

VAST Data secures US$10B from top customers. Published by VAST Data says it has received more than US$10 billion (around SG$12.8 billion) in commitments from just 14 of its customers this year, with four of them committing over US$1 billion each. Key Takeaways * Fourteen of VAST Data's more than 1,000 customers have committed over US$10 billion in aggregate this fiscal year, four of them above US$1 billion each. * VAST runs its Asia Pacific operations from Singapore, partnered with the Economic Development Board's investment arm EDBI, and supports customers including HTX and Sharon AI. * VAST-powered systems now support nine of the world's top 10 frontier AI labs, with over 200 exabytes of flash supply aligned through 2029. Fourteen customers, more than US$10 billion. VAST Data, an AI operating system company, says 14 of the more than 1,000 companies it serves have made over US$10 billion in aggregate commitments for its software and supporting hardware in the first three quarters of its current fiscal year. Of those, four customers have each committed more than US$1 billion. The company was valued at US$30 billion following a Series F funding round earlier this year that included participation from NVIDIA. VAST says its systems now support nine of the world's top 10 frontier AI labs. "Growth at this scale only happens when an entire industry is rebuilding at once. That's what the new AI stack is. It's being built for models and agents, not people and applications, and data sits at the centre of it. The companies building it at the largest scale, for people, agents and now robots, are choosing VAST to anchor it," said Renen Hallak, Founder and CEO of VAST Data. A Singapore-anchored regional operation. In Asia Pacific, VAST runs its regional operations from Singapore, where it has partnered with the Economic Development Board's investment arm EDBI, and counts HTX and Sharon AI among the companies it supports in the region. Locking in flash supply through 2029. VAST says it has structured agreements with its supply chain partners to align more than 200 exabytes of flash capacity through 2029, given that new flash supply can take years to bring online. "Planning for hundreds of exabytes isn't only about protecting our customers' growth projections. It's about keeping flash available to hundreds of clouds, so that every AI builder, not just the largest, has the capacity it needs to build and compete," said Jeff Denworth, Co-Founder of VAST Data.

Chief IT
Oct 26th, 2026
VAST Data and NVIDIA launch AI agent sandbox stack aimed at auditability.

VAST Data and NVIDIA launch AI agent sandbox stack aimed at auditability. VAST Data and NVIDIA have announced an "Agent Sandbox Foundation Stack" they say is designed to help enterprises run large numbers of AI agents and sub-agents in production while keeping records of agent activity for governance and review. According to the companies, the stack is intended to provide persistent data infrastructure for "thousands of AI agents and sub-agents" running in isolated sandboxes, with a focus on retaining operational records after agents terminate. VAST said the system maintains a persistent record of agent tool calls, prompts, tokens, costs and decisions. "Every enterprise that puts an agent into production will eventually need to answer what it did and why it did it," said VAST CTO and co-founder Alon Horev, in a statement. NVIDIA's vice president of generative AI software, Kari Briski, said the goal was to support secure execution while preserving "data, context and state" over the lifecycle of agent workloads. The announcement lands as organisations look to operationalise "agentic" AI systems that can autonomously execute tasks, spawn other agents and operate across multiple sessions. The companies argue that these patterns create a need to decouple persistent state from short-lived compute and sandbox environments so agents can pause, resume or move without losing context. In Australia, the development also follows guidance from the Australian Signals Directorate on "agentic AI harnesses" for organisations adopting autonomous agents. In the email accompanying the release, the sender said the ASD guidance calls for system isolation, continuous monitoring and human approval checkpoints for agentic AI. VAST said the stack combines its "AI Operating System" with NVIDIA NemoClaw and NVIDIA OpenShell. The release describes OpenShell as providing isolated execution and policy enforcement around agent activity, while VAST provides persistent state, scalable workspaces and operational records across the agent lifecycle. The companies outlined three layers in the architecture: infrastructure for dynamic agent environments, persistent state and integrated data services, and observability and auditability. VAST said its platform uses "zero-copy clones" to provision persistent storage for isolated sandboxes, and that its systems maintain records intended to serve as an audit trail across multi-agent workflows. VAST said it will demonstrate the stack at NVIDIA GTC Berlin and plans to make an automated deployment available through a public GitHub repository.

Tech in Asia
Oct 22nd, 2026
Nvidia, Vast Data announce AI agent sandbox.

Nvidia, Vast Data announce AI agent sandbox. Vast Data, a New York-headquartered data infrastructure company, announced an AI agent sandbox stack with Nvidia on 22 October 2026 for production deployments that need persistent agent state and activity records. The stack combines Vast's AI Operating System with Nvidia NemoClaw and OpenShell. Vast said OpenShell provides isolated execution and policy enforcement, while its platform supplies persistent storage and state across sessions. According to Vast, the system keeps records of agent activity, including tool calls, prompts, token use, costs, and decisions, even after an agent stops running. The company plans to demonstrate the setup at Nvidia GTC Berlin and make automated deployment available through a public GitHub repository. The announcement comes as the European Union AI Act requires records and mandates logs for certain high-risk AI systems. AI agent observability is also emerging as an enterprise software category, with tools being compared for production use. Recent VAST data developments. Stay updated on the go with our mobile app. Get latest insights with smoother, more personalized experience through TIA mobile app. How would you feel if you could no longer use Tech in Asia? Share, tag us, and land on our Wall of!

Blocks & Files
Oct 21st, 2026
VAST agent sandbox stores cross-session persistent agent state.

VAST agent sandbox stores cross-session persistent agent state. Chris Mellor STORAGE EDITOR Blocks & Files editor Published wed 21 Oct 2026 // 14:46 UTC VAST Data is using Nvidia NemoClaw and newly-announced OpenShell to persist AI agent state with a record of tool calls, prompts, tokens, costs and decisions, while agent compute stay ephemeral. Nvidia OpenShell is an open, secure runtime for AI agents, governing agent execution, access, and where inference goes, giving agents the access they need to execute the tasks they're sent. It combines sandboxed execution, controlled resource access, credential protection, and formal policy verification, with enforcement outside the agent workload. It's integrated with hardware-level security mechanisms based on the BlueField-4 chip. NemoClaw is an open-source collection of blueprints and a reference stack for deploying specialized, always-on autonomous AI agents more safely and with governance controls. Agent state persistence is the core feature of VAST's new Foundation Stack for Governed Agent Sandboxes (FSGAS), announced at Nvidia GTC in Berlin. Alon Horev, CTO and Co-Founder at VAST Data, said: "Every enterprise that puts an agent into production will eventually need to answer what it did and why it did it. An agent might exist for minutes, spawn thousands of other agents and then disappear, but its work has to persist and its actions have to stay understandable long afterward. Together with Nvidia, we're showing how the VAST AI Operating System provides the durable foundation underneath secure agent environments, so organisations can scale agentic systems without sacrificing persistence, governance or control." A VAST blog states: "Agent sandboxes are quickly becoming the de facto approach for implementing guardrails around AI agents. Sandboxes should prevent agents from going rogue and limit the blast radius of any questionable actions, while still providing agents access to all the tools they need. Nvidia's Kari Briski, VP of Generative AI Software, added more context: "As AI agents take on more complex work, enterprises need infrastructure that can support secure execution while preserving the data, context, and state agents depend on across their lifecycle. By combining Nvidia NemoClaw and OpenShell with the VAST AI Operating System, organisations can build agent sandbox environments that are secure and designed to scale from experimentation to production." FSGAS uses a new Agent Sandbox Foundation Stack, and VAST says agents can spawn other agents, execute tasks and disappear, with fleets creating and destroying thousands of isolated workspaces an hour. Long-running agents may also work across multiple sessions, sleeping, resuming and delegating tasks to short-lived subagents along the way. Whether an agent runs for minutes or across multiple sessions, its progress, working data and memory need to persist independently of any individual sandbox or compute node - remaining available, governed and auditable wherever execution resumes. FSGAS provides a scalable, persistent data infrastructure that enterprises need to securely run thousands of AI agents and sub-agents in production. It works like this; * As new agent tasks are initiated, VAST uses zero-copy clones to provision persistent storage for isolated OpenShell sandboxes without creating full copies of the underlying data. VAST separates agent execution from persistent state so agents can pause, resume or transfer work across agent environments without starting from scratch. * VAST DataBase maintains a persistent record of agent activity, including tool calls, prompts, tokens, costs and decisions while the VAST Management System provides real-time visibility into data flows and infrastructure activity across agent fleets. By decoupling persistent agent state from individual compute nodes, the FSGAS architecture allows agents to pause, resume, or move across eligible infrastructure without losing their progress, working data or context. * Enterprise research assistance with Nvidia Nemotron - AI-Q based Foundation Stack provides a foundation for building custom AI researchers that can operate across private, enterprise data sources, synthesising hours of research in minutes, using the VAST AI OS for persistent and secure context, scalable reasoning pipelines, and trusted agent execution., * Video intelligence with Nvidia Cosmos - a Video Search and Summarisation (VSS)-based Foundation Stack enables organisations to ingest massive volumes of live or archived video and extract insights through semantic indexing, summarisation, and interactive Q&A, VAST plans to make the automated deployment available through a public GitHub repository, providing a reproducible path for organisations to deploy the architecture in their own environments. The aforementioned blog notes: "This foundation stack builds on the recently announced VAST DataEnclave, which delivers a trusted and cryptographically secured runtime for running leading commercial AI models alongside sensitive data on customer-controlled infrastructure." Read more here; it's worthwhile. Bootnote. HPE will support the Nvidia OpenShell Reference Architecture for Safe Agents, delivering full-stack AI factory governance, isolation, and security with Nvidia Vera Rubin, Nvidia Vera CPUs, and Nvidia BlueField-4.

Associated Press
Oct 20th, 2026
Mirantis and VAST Data integrate GPU compute and storage to cut AI cloud onboarding to minutes

Mirantis has integrated its k0rdent AI orchestration software with VAST Data's AI Operating System. The aim is to help neoclouds, telecoms, and other GPU-as-a-service providers run secure, multi-tenant AI infrastructure at scale. k0rdent AI can now automatically provision, scale, and retire tenant-isolated VAST storage alongside compute. Operators previously had to coordinate servers, Kubernetes clusters, storage, and tenant access by hand, which invited configuration errors. Mirantis says the integration cuts tenant onboarding from weeks to minutes. It plans to extend the approach to more technology partners. The companies first announced their collaboration in February 2026, when Mirantis joined VAST Data's Cosmos Partner Program.

Recently Posted Jobs

Sign up to get curated job recommendations

There are no jobs for VAST Data right now.

Find jobs on Simplify and start your career today

We update VAST Data's jobs every few hours, so check again soon!Browse all jobs