The VAST AI Operating System (AI OS) is the first platform built from the ground up to manage the complete AI lifecycle. One unified foundation for storage, database, and compute runtime - eliminating the need to stitch together dozens of tools for training, inference, autonomous agents, and everything in between.
From the personal computer to the smartphone, new hardware always ignites transformation. But it’s the right operating system that truly unleashes that power, making it simple enough to build entire industries upon.
AI is that next transformative leap. Yet, today’s operating systems weren’t designed for the unique demands of AI-native applications. To realize its full potential, we need a new foundation – a purpose-built OS designed for the immense scale and complexity of modern AI.
Intel processors + Windows/Mac OS Abstracted CPU complexity
Networking + Web browsers Abstracted network complexity
ARM processors + iOS/Android Abstracted mobile hardware
GPUs + VAST AI OS Abstracts AI infrastructure
The VAST AI OS gives you the complete toolkit to build, deploy, and operate powerful AI agents at enterprise scale. In this live walkthrough, we’ll show you exactly how it’s done using our visual pipeline studio, AgentEngine, and unified data infrastructure. You will see us build and deploy an autonomous sales research agent capable of research, reasoning, and action, powered by real-time data from VAST’s own business operations.
Legacy infrastructure built for the cloud era wasn’t designed to support modern AI. It lacks the scale, performance, and data handling capabilities required for GPU-powered workloads.
As a result, AI initiatives stall before they start. Teams waste time manually patching together incompatible tools and systems, creating bottlenecks and technology silos. This complexity kills innovation before it can get started.
We’re witnessing the shift from legacy constraints to AI possibilities.
AI agents are a fundamental shift from traditional software. Unlike a program executing a predefined script, an AI agent is an autonomous system that perceives its environment, adapts its strategy, and pursues long-term goals.
This autonomy means they must:
Make complex decisions under uncertainty.
Maintain persistent memory and long-horizon context.
Learn continuously from every interaction.
This new way of operating places unprecedented demands on the underlying infrastructure. To function, an enterprise-grade AI agent requires:
Real-time, contextual access to exabytes of unstructured data (images, video, text, telemetry).
Millisecond response times for instant reasoning and action.
Massive-scale coordination with millions of other agents simultaneously.
Secure execution environments.
Robust, end-to-end observability to track, understand, and continually refine their actions.
When performance at scale is non-negotiable, the world’s most ambitious AI pioneers build on VAST. From powering massive GPU clusters that drive breakthrough research to enabling Fortune 100 companies to deploy AI at enterprise scale, VAST has become the infrastructure backbone for organizations that can’t afford to compromise.
What You Can Build
Build and deploy millions of intelligent agents at scale, equipped with unlimited memory, advanced reasoning, and continuous learning capabilities to automate complex enterprise-wide tasks.
Instantly ingest, process and activate streaming data from sensors, cameras, and IoT devices to drive immediate, data-informed decisions
Create a seamless data fabric that unifies workload deployments across the edge, private data centers, and public cloud AI factories, ensuring consistent performance and data access anywhere.
Develop RAG powered agents that provide rich, contextual answers by instantly integrating new, real-time information with vast historical knowledge bases.
The Business Value of the AI OS
Replace dozens of fragmented point solutions with one unified, efficient platform for data management and AI development, significantly reducing licensing, operational, and management overhead.
Deploy AI initiatives in weeks instead of months, with low-code agent development tools, getting your most innovative products and services to market faster.
Mitigate risk with robust governance, comprehensive auditing, and secure multi-tenancy to ensure safe, compliant, and responsible AI deployment at scale.
Protect your technology investment with an AI-native architecture. Seamlessly adapt to emerging models, new paradigms, and future technologies without the need for costly and disruptive re-platforming.
Engineered for AI from day one, VAST’s breakthrough Disaggregated, Shared Everything (DASE) architecture delivers true parallelism where every CPU and GPU can access all data simultaneously, eliminating the I/O bottlenecks that plague traditional shared-nothing architectures.
Unlike legacy systems built on 20-year-old principles that break down at AI scale, VAST’s purpose-built architecture handles millions of GPUs and exabyte-scale data with near 100% uptime. With our global namespace and unified APIs, you can eliminate the operational complexity of managing dozens of incompatible tools and integration points.
AI’s Nervous System
Universal computing with containerized Python runtime. Event-driven processing with Kafka-compatible streaming.
AI’s Infinite Memory
Stores exabytes of block, file and object data with all-flash performance and archive economics. Direct GPU access via GPUDirect Storage.
AI’s Knowledge Base
A transactional data warehouse that indexes all data and vector embeddings in real-time. Query trillions of objects with millisecond response.
Global AI Fabric
Unifies edge-to-cloud into one coherent system empowering you to act on data when and where you need it, enabling continuous learning loops across any geography.
Unlock AI at scale with VAST AI OS — unifying storage, database, and compute into a single, intelligent platform purpose
Discover the VAST AI Operating System: a unified platform for AI applications, offering data services and intelligent
The inaugural episode of Shared Everything. Nicole Hemsoth Prickett sits down with Renen Hallak, CEO and founder of VAST Data, to discuss what comes after compute.
The AI OS is one unified platform that replaces dozens of point solutions, dramatically reducing complexity and vendor management overhead. Think about simplifying:
Multiple storage tiers and vendors
Separate vector databases
External streaming platforms
Complex ETL pipelines and data preparation tools
Disparate MLOps and agent deployment systems
It’s for:
AI Builders & Cloud Providers Organizations creating and deploying large-scale AI models and cloud platforms need extreme performance, scalability, and advanced tooling to manage their next-gen AI services and agentic systems.
Enterprise Leadership C-suite executives leveraging AI for their competitive advantage and business transformations need strategic solutions that deliver measurable ROI, robust security, and simplified infrastructure management.
Technical Implementers AI engineers and architects building and maintaining AI/ML infrastructure need scalable platforms with efficient MLOps tools, simplified integration, and support for advanced AI capabilities, like real-time processing and vector databases for RAG.
Learn more about our flexible deployment and consumption options.
Runs everywhere AI lives: on-premises data centers, public clouds (AWS, Azure, GCP, Oracle), edge locations, or hybrid environments. Software-first architecture adapts to your infrastructure, not the other way around.
Hardware Compatibility: Works efficiently on commodity hardware platforms with established partnerships including HPE, Cisco, Dell, Lenovo, and more to ensure smooth deployment across different environments.
Protocol Support: Natively supports all major enterprise protocols including NFS, SMB, S3, NVMe over TCP, SQL, and Kafka-compatible streaming - so your existing applications and workflows continue to work.
System Integration: Integrates with existing Kubernetes clusters and bridges legacy applications through real-time message brokers. Built on industry standards like Model Context Protocol (MCP) for maximum interoperability with current AI tools.
Security Continuity: Unified identity management and end-to-end encryption work with your existing security frameworks while extending governance across the entire AI environment.