VAST AI OS for AI

One Data Foundation for Every Stage of AI

Run data preparation, model training, retrieval, inference, and AI pipelines on one governed platform that scales from enterprise AI to GPU clouds and hyperscalers, keeping GPUs productive and data continuously available from edge to cloud.

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Trusted by the World’s Leading Artificial Intelligence Organizations

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The VAST AI Operating System underpins key aspects of how we design and deliver our AI cloud. This partnership enables us to deliver AI infrastructure that is the most performant, scalable, and cost-efficient in the market, while reinforcing the trust and reliability of a data platform that our customers depend on for their most demanding workloads.

Brian Venturo

Co-founder & Chief Strategy Officer, CoreWeave

Why Now

AI Infrastructure Must Support the Entire Intelligence Loop

AI has evolved from isolated training jobs into a continuous loop of data preparation, training, retrieval, inference, and automation. Infrastructure built for separate stages cannot keep pace.

Centralized Model Training

Early AI infrastructure focused on feeding large training clusters. Models were built successfully, but serving and operational AI required separate platforms.

AI Inference

Inference introduced low-latency serving and GPU scale, but every workload still depended on specialized infrastructure optimized for a single stage.

Continuous AI Workloads

Retrieval, agents, enterprise AI, and multimodal applications now require continuously updated data and context, creating fragmented pipelines and infrastructure sprawl.

Unified AI Infrastructure

AI has become a continuous intelligence loop where training, retrieval, inference, and automation work together. Separate infrastructure can no longer keep pace.

One Platform

One Platform for Every AI Workload

The VAST AI Operating System unifies data, database services, event-driven compute, and global access on one DASE foundation.

Consolidate

Serve training, retrieval, inference, and AI pipelines from one unified, governed data foundation.

Accelerate

Power real-time AI pipelines with continuously refreshed data, low-latency retrieval, and event-driven automation.

Activate

Run data preparation, vectorization, inference, and automation directly where data lives.

Scale

VAST's DASE architecture delivers exabyte-scale AI infrastructure from enterprise deployments to hyperscale GPU clouds.

Use Cases

Explore Artificial Intelligence Use Cases

Choose the architecture that matches your AI strategy: build enterprise AI, serve inference at hyperscale, or train models across massive GPU environments.

Enterprise AI Factory

Build governed AI factories that continuously transform data into trusted context for RAG, agents, and AI applications.

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Resources

Go Deeper on VAST AI Infrastructure

White Paper

The Architecture Behind Our 11× Vector Benchmark

Explore the architecture and benchmarks of trillion-scale vector search without shard-based scaling.

Blog Post

From Detection to Reasoning: Scaling Autonomous AI

Learn how continuous data, multimodal pipelines, and real-time inference support the next generation of autonomous systems.

VAST Data Platform

How the VAST AI Operating System Works

See how VAST unifies storage, database services, event-driven compute, and global data access for AI.

Frequently Asked Questions

Understanding VAST AI Infrastructure

The VAST AI Operating System is a unified platform for building, deploying, and operating AI at enterprise and hyperscale. It combines high-performance data services, databases, event-driven compute, and global data access to support the entire AI lifecycle—from data preparation and model training to retrieval, inference, and continuous AI pipelines—on one governed architecture.

VAST is more than a storage system because it combines high-performance data services with database, vector, streaming, and compute capabilities. VAST DataStore feeds training and inference workloads, VAST DataBase supports analytics and vector retrieval, DataEngine executes pipelines, and DataSpace extends governed access across locations. All services operate on a common DASE foundation.

VAST keeps data, metadata, vectors, and event-driven pipelines within a unified governance model. New data can be ingested, transformed, vectorized, and made available to retrieval and inference workflows without copying it into separate databases. Consistent identity, security, and access policies apply across structured, unstructured, streaming, and vector data.

VAST DataBase provides a native vector store that combines structured data, files, objects, vectors, and metadata on one platform. Rather than synchronizing embeddings into a separate vector database, organizations can continuously ingest, update, and retrieve vectors alongside enterprise data. Native hybrid SQL and vector search enables RAG applications to work with fresh, governed context without maintaining duplicate infrastructure.

The VAST AI Operating System supports both large sequential workloads, such as distributed model training and checkpointing, and the low-latency random-access patterns required for retrieval and inference. Built on DASE architecture, compute and storage scale independently, allowing enterprises, neoclouds, and hyperscalers to consolidate AI workloads that traditionally require separate infrastructure.