Enterprise AI Factory with VAST Data

Powering the Enterprise AI Revolution with VAST

Build an Enterprise AI Factory that can power hyperscale vector search, real-time ingest and vectorization, and fully automated RAG workflows on one unified platform. The VAST AI OS is built to deliver enterprise-grade performance, governance, and scale for the next generation of intelligent, data-driven applications.

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The Enterprise AI Factory Challenge

Outgrowing Legacy Data Infrastructure

Existing data infrastructures were never designed to power Enterprise AI Factories. Fragmented platforms, disconnected data pipelines, and inconsistent governance make it difficult to build, scale, and operationalize real-time AI.

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Fragmented Data

Enterprise data is scattered across warehouses, clouds, object stores, and edge environments, preventing AI from accessing a unified, governed, and continuously updated view.

Unpredictable Latency

Tiered storage and disconnected systems create inconsistent performance, stale embeddings, and unpredictable latency across retrieval, inference, and AI pipelines.

Complexity and Cost

Stitching together storage, vector databases, ETL pipelines, orchestration tools, and AI services creates fragile architectures, operational complexity, and spiraling costs.

The Korean government asked SK Telecom to develop a sovereign AI Cloud, meaning that AI computing environment that is fully controlled domestically for security and strategic reasons.

Dr. Jian Li

Manager, Cloud R&D; SK Telecom

Why Now

The Inflection Point for Enterprise AI

Enterprises are standing at a turning point in AI. Until now, the cost and complexity of building Enterprise AI Factories capable of real-time ingestion, retrieval, reasoning, and automation made true operational AI impractical. Traditional architectures, designed for batch processing and tiered storage, simply couldn't deliver the performance, governance, or economics required for continuous, intelligent systems.

VAST's Disaggregated Shared-Everything (DASE) architecture changes that equation. By unifying storage, database services, event processing, and compute on a single flash-native platform with linear scalability, DASE eliminates the trade-offs that have constrained enterprise AI for decades. What was once prohibitively expensive and operationally fragile is now both achievable and efficient.

For the first time, enterprises can build Enterprise AI Factories that continuously ingest data, generate knowledge, reason over live information, and automate intelligent workflows in real time, transforming AI from an experimental initiative into a production-ready foundation for the business.

The Architecture Shift Reshaping Enterprise Analytics

The VAST AI Operating System

Unified Infrastructure for the Enterprise AI Factory

VAST reimagines enterprise data architecture for the AI era, replacing fragmented infrastructure with a unified platform for storage, databases, vectors, event processing, AI pipelines, and compute. Built on the breakthrough Disaggregated Shared-Everything (DASE) architecture, it simplifies operations, scales linearly, and provides the performance and governance required to operationalize Enterprise AI Factories.

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Simplify

Consolidate storage, data warehouses, vectors, event processing, AI pipelines, and compute into one platform. Eliminate fragmented architectures and brittle integrations while reducing operational complexity.

Scale

Scale linearly across all your data. The built-in vector store supports trillions of embeddings while the DASE architecture independently scales compute and storage to meet the demands of Enterprise AI Factories.

Secure and Govern

Apply a single security and governance model across all data, from files and objects to tables, vectors, and pipelines. Consistent policies and auditing ensure AI only retrieves authorized data.

Automate

Event-driven pipelines and serverless functions run directly where the data lives, automatically triggering ingestion, vectorization, retrieval, inference, and downstream workflows.

The Three Pillars of a Production-Ready AI Factory

Solve the Hardest Challenges in Real-Time AI

Hyperscale Vector Store

Traditional vector databases become increasingly expensive and complex at enterprise scale, relying on sharding, rebalancing, and index rebuilds to keep pace with growth. Built on a proprietary hierarchical clustering index, VAST DataBase delivers continuous ingest, unified data and vectors, and consistent low-latency retrieval at trillion-vector scale without sharding or data movement.

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Real-Time Ingest & Vectorization

Enterprise AI is only as current as the data beneath it. VAST ingests and transforms data the moment it lands using event-driven automation. Event triggers from the VAST Event Broker, paired with serverless Python functions, let InsightEngine pipelines instantly chunk, vectorize, and store data — so models always reason over complete, current, and governed context.

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Real-Time Automated RAG Pipelines

RAG fails when pipelines depend on external orchestrators and fragile integrations. VAST InsightEngine replaces that complexity with a unified, in-place framework that lets you build automated ingestion, chunking, vectorization, retrieval, and inference. The result: real-time, continuously fresh RAG with built-in governance and no data movement.

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What does InsightEngine help Enterprises do?

Turning Data into Real-Time  Insight with InsightEngine

With the DASE architecture providing the performance foundation, the VAST InsightEngine is the AI pipeline framework that brings AI pipelines to life. Built on top of the DataEngine, InsightEngine provides a unified environment to orchestrate data, events, and models, transforming raw information into real-time intelligence.

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Build and Manage AI Pipelines

Visually create or code event-driven pipelines that connect data ingestion, vectorization, retrieval, and inferencing without external orchestration tools.

Run AI Where the Data Lives

Execute inferencing, enrichment, and automation directly on your data using DataEngine's event triggers and serverless functions, eliminating unnecessary data movement.

Integrate with the AI Ecosystem

Connect seamlessly with NVIDIA NIMs, RAG frameworks, and other inference microservices for real-time AI and multimodal processing.

Simplify Operations

Manage data pipelines, GPU orchestration, and AI inferencing from a single, governed interface with consistent security and access control.

What does DataEngine help Enterprises do?

Activating Data with  VAST DataEngine

The VAST DataEngine is a programmable, event-driven execution layer that transforms your data platform into an active foundation for Enterprise AI Factories. With DataEngine, VAST automates AI pipelines, real-time data processing, and intelligent workflows using event triggers, serverless functions, and native compute, bringing AI to the data instead of moving data to AI.

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Build and Automate Workflows

Deploy event triggers and serverless functions that respond instantly to data changes, automating AI pipelines, vectorization, inferencing, and real-time data activation.

Code-first or Low-Code

DataEngine makes it easy to build, automate, manage, and observe event-driven data and AI pipelines for engineers and other data users, with code-first and low-code development options.

Run Code Where the Data Lives

Execute AI pipelines and compute directly where the data lives using VAST Native Compute, eliminating costly data movement, duplication, and external orchestration.

Observe and Optimize Pipelines

Gain full visibility into data workflows, performance metrics,  and cost efficiency through a unified management interface.

Enterprise AI Factories in Action

From public safety and financial services to healthcare, manufacturing, and telecommunications, Enterprise AI Factories require a unified foundation for ingesting, processing, governing, and acting on data in real time. VAST AI OS delivers the performance, automation, and scale to operationalize AI across the world's most data-intensive industries.