VAST Data Introduces New Foundation Stack For Secure, Production-Ready AI Agent Sandboxes With NVIDIA
(MENAFN- Mid-East Info) New Agent Sandbox Foundation Stack combines the VAST AI Operating System with NVIDIA NemoClaw and NVIDIA OpenShell to give every sandboxed agent a fast, isolated workspace, the data services it needs and a complete record of everything it did
Borderless Finance. AI-Native.
Your digital companion for smarter everyday choices. Built for how you live, earn, and grow. Move money at your pace with AI-powered finance, all in one tap.
Join the waiting list. Earn Dubai, UAE., – October, 2026 – VAST Data, the AI Operating System company, today announced a new Agent Sandbox Foundation Stack with NVIDIA, built with NVIDIA NemoClaw and NVIDIA OpenShell to provide the scalable, persistent data infrastructure enterprises need to securely run thousands of AI agents and sub-agents in production. The stack helps enterprises and AI service providers deploy, operate and scale governed agent environments without tying persistent state to ephemeral compute. As enterprises deploy increasingly autonomous AI agents, infrastructure requirements change fundamentally. 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. The VAST Foundation Stack for Governed Agent Sandboxes addresses this challenge by combining NVIDIA's secure agent runtime technologies with the persistent infrastructure and data services of the VAST AI Operating System. NVIDIA OpenShell provides isolated execution and policy enforcement around agent activity, while VAST provides persistent state, scalable agent workspaces, integrated data services and operational records across the agent lifecycle. By decoupling persistent agent state from individual compute nodes, the architecture allows agents to pause, resume or move across eligible infrastructure without losing their progress, working data or context. Together, these capabilities let agent compute stay ephemeral while agent state stays durable. “Every enterprise that puts an agent into production will eventually need to answer what it did and why it did it,” said Alon Horev, CTO and Co-Founder at VAST Data.“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 organizations can scale agentic systems without sacrificing persistence, governance or control.” “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,” said Kari Briski, Vice President of Generative AI Software at NVIDIA.“By combining NVIDIA NemoClaw and OpenShell with the VAST AI Operating System, organizations can build agent sandbox environments that are secure and designed to scale from experimentation to production.” A Foundation for Production Agentic AI: The new Agent Sandbox Foundation Stack extends VAST's work with NVIDIA to provide repeatable implementations for production AI. Rather than requiring organizations to assemble separate infrastructure for agent execution, data access, persistence and observability, the architecture brings these capabilities together across three layers:-
Infrastructure Built for Dynamic Agent Environments: The VAST AI OS provides persistent infrastructure underneath NVIDIA NemoClaw and OpenShell environments, supporting the rapid creation and removal of isolated agent workspaces. As new agent tasks are initiated, VAST uses zero-copy clones to rapidly provision persistent storage for isolated OpenShell sandboxes without creating full copies of the underlying data. This architecture is built for performance – designed to operate at the speed of agents by supporting efficient and highly dynamic workflows in which agents can spawn, disappear and reappear as reasoning demands change.
Persistent State and Integrated Agent Data Services: Agent compute may be temporary, but its work does not have to be. VAST separates agent execution from persistent state so agents can pause, resume or transfer work across agent environments without starting from scratch. VAST DataStore provides persistent sandbox storage and snapshots, while VAST DataBase and integrated data services provide shared access to agent memory, context and enterprise data – allowing isolated agents to work concurrently from common data without creating redundant copies.
Real-Time Observability and Durable Auditability: As agents take more independent actions, platform teams need visibility into both what is happening now and what happened after an agent disappears. The VAST Management System provides real-time visibility into data flows and infrastructure activity across agent fleets, while VAST DataBase maintains a persistent record of agent activity, including tool calls, prompts, tokens, costs and decisions. Together, these capabilities give teams operational visibility into active agent environments and a durable audit trail across increasingly complex multi-agent workflows.
-
Press Release: VAST Data Introduces Foundation Stacks to Accelerate Enterprise Adoption of NVIDIA Blueprints
-
Blog: Building Semantic Enterprise Search for AI Agents
-
Demo: Agent Sandbox Foundation Stack
-
Video: Alon's agent sandbox video
Legal Disclaimer:
MENAFN provides the
information “as is” without warranty of any kind. We do not accept
any responsibility or liability for the accuracy, content, images,
videos, licenses, completeness, legality, or reliability of the information
contained in this article. If you have any complaints or copyright
issues related to this article, kindly contact the provider above.

Comments
No comment