The VAST AI Operating System captures any data at any scale, enriches it into meaning the moment it lands, and activates it across a global grid of GPUs.
The AI Operating System
Most AI teams manage separate systems for storage, data ingestion, analytics, vector search, streaming, and AI runtime. The VAST AI OS pulls all of it into a single unified infrastructure layer. One platform: Simple. Reliable. Secure.
Build a Universal Storage Infrastructure
The data foundation for AI, engineered to handle any data at any scale. It captures raw, real-time data, structured or unstructured, combining all-flash performance with archive economics. The result: fast, unhindered access to all your data, without legacy tradeoffs.
Get the most value out of every PB of capacity you deploy.
How DataStore Beats Legacy Architectures
AI-Derived Context
The moment data enters, enrichment begins. Unstructured content like video, documents, and audio becomes AI embeddings, a universal language for finding relationships. Structured data like telemetry is indexed into database tables, instantly ready for real-time analysis at any scale.
2M events/second ingest. 20x faster analytical queries vs. Iceberg stacks.
InsightEngine Makes Raw Data AI-Ready
Agentic Reasoning & Action
The system activates your data. It scales AI agent workflows globally across GPUs and provides a managed container runtime, so AI interacts with an intelligent data layer. Compute and data span edge and cloud as one grid for agentic computing.
1 GB/s per GPU sustained.
How AgentEngine Puts Your Data to Work
Performance
Powering AI’s Most Demanding Production Environments
>11 TB/s
aggregate throughput
>99.999%
uptime across 3M+ GPUs in production
20×
faster analytics vs. Iceberg stacks
60%
lower TCO
Technology
How the AI OS Works
Every capability in the VAST AI OS runs on a single architecture: DASE (Disaggregated Shared-Everything). DASE separates compute from capacity so each can scale independently, and it gives every node access to the full global dataset. That's how the AI OS keeps adding capabilities — database, event streaming, vector search, agent orchestration — without compromise.
DataStore
Unified Storage
Every workflow starts here. Enterprise data, whether block, file, or object, is written to the DataStore, a single exabyte-scale foundation that consolidates all of it without the tiering and silos that slow AI.
Best data reduction. Get the most value out of every PB of capacity you deploy.
DataBase
Transactional & Analytical Database
Next, data is chunked, embedded, and stored as vectors in the DataBase, alongside structured tables and streaming data, so unstructured and structured data streams are instantly ready for query and similarity search.
20× faster analytical queries vs. Iceberg stacks.
DataEngine
AI Pipeline Automation
The DataEngine then acts on it, leveraging python functions and a built-in Kafka-compatible message bus, triggering agents the moment data changes to take actions directly against it, turning a passive store into an active platform.
Lower TCO with integrated Kafka and Pipeline Orchestration tools.
DataSpace
Global Namespace
This makes that data available to the GPUs that need it, wherever they sit, leveraging a federated global namespace that spans clusters, within or across data centers, on-prem or off, from edge to cloud.
Real-time access to any data, anywhere.
Integrations
Native Integrations Across the AI Ecosystem
VAST connects to the tools your teams already use through native APIs, open-source plugins, and validated integrations. No rip-and-replace. Deploy alongside your current infrastructure and expand at your own pace.
