Bringing Real-Time Insights to Enterprise Data

The world’s first real-time application workflow designed to transform enterprise data into actionable insights instantly, empowering AI to deliver faster, smarter decisions.

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Power

Power Real-Time Agentic AI for Autonomous Decision-Making

VAST InsightEngine enables real-time agentic AI, empowering autonomous agents to process, adapt, and act on dynamic data streams with minimal human oversight. Leveraging VAST’s unified architecture, real-time processing, and NVIDIA NIM integration, AI agents can execute decisions and tasks instantly across all data, allowing businesses to adapt to rapidly changing conditions. This capability is ideal for automated incident response in financial services, software development, cybersecurity, real-time fraud detection, and adaptive patient care. By providing AI agents with immediate access to all data, enterprises can optimize workflows and free up employees to focus on high-value strategic tasks.

Streamline

Streamline Data Pipelines with NVIDIA NIM-Powered Automation

VAST InsightEngine leverages NVIDIA NIMs and VAST DataEngine to automate inference and accelerate AI data workflows. Through event triggers, NIM inference microservices execute immediately when new data is ingested, removing manual intervention and simplifying data pipeline management. This seamless integration drastically reduces operational complexity, enabling businesses to focus on generating insights rather than managing infrastructure. The result is faster time-to-value, where AI applications can immediately process and retrieve data for decision-making, significantly improving operational efficiency.

Real-Time

Instant AI Searchability with Real-Time Data Embedding

VAST InsightEngine transforms enterprise data into vector embeddings the moment it’s created, bypassing traditional batch processing delays. By embedding unstructured data in real time, the platform ensures that new files, objects, or streams are immediately searchable and available for AI-driven tasks that leverage retrieval. This capability drastically accelerates time-to-insight, enabling businesses to act on fresh data as soon as it’s ingested, improving the accuracy and timeliness of AI outputs.

Scale

Scale AI Retrieval with Trillions of Vector Embeddings

VAST InsightEngine’s scalable semantic database can handle trillions of vector embeddings, far exceeding the limitations of traditional databases. By storing indexes in the high-speed Storage Class Memory (SCM) tier, InsightEngine allows real-time, massive-scale searches that accommodate the growing data needs of enterprises. This capability is essential for AI applications that rely on large-scale vector retrieval, providing rapid, memory-speed search results across vast datasets without performance degradation, ensuring enterprises maintain AI efficiency at any scale.

Simplify

Simplify AI Data Management with a Unified Architecture

VAST InsightEngine integrates real-time data storage, real-time processing, and real-time retrieval into one seamless platform, eliminating the need for external data lakes or third-party SaaS tools. This unified data architecture reduces the complexity, cost, and time associated with data copying and ETL processes. Enterprises benefit from streamlined operations, where all data types—files, objects, tables, and streams—are managed in place, ensuring faster access to insights and simplifying the entire AI data lifecycle.

Unify

Achieve Atomic Data Security and Compliance for AI

VAST InsightEngine provides atomic-level security by embedding Access Control Lists (ACLs) into each data element and ensuring data provenance across the entire lifecycle. This approach simplifies security management by eliminating the need to synchronize permissions across siloed data systems. InsightEngine guarantees data consistency and regulatory compliance, making it ideal for enterprises that need to manage secure AI-driven workflows. The platform’s end-to-end data atomicity ensures that AI tasks are both safe and reliable, even across vast, complex datasets.

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Generative AI with RAG capabilities has transformed how enterprises can use their data. Integrating NVIDIA NIM into VAST InsightEngine with NVIDIA helps enterprises more securely and efficiently access data at any scale to quickly convert it into actionable insights.

Justin Boitano
Vice President, Enterprise AI, NVIDIA
Features

NVIDIA NIM Integration

Leverages NVIDIA Inference Microservices to embed semantic meaning from incoming data in real time. Models running on NVIDIA GPUs instantly store embeddings in the VAST DataBase, enabling near-immediate availability for AI-driven tasks such as retrieval, eliminating processing delays and accelerating insights.

Real-Time Data Processing

Data is immediately transformed into vector embeddings and graph relationships as it is written, bypassing traditional batch processing delays. This real-time processing ensures that newly ingested data is instantly available for AI operations, enabling faster, more accurate decision-making.

Scalable Semantic Database

Designed to support trillions of vector embeddings and graph relationships, this high-speed semantic database enables real-time similarity searches and relationships across large datasets. By leveraging Storage Class Memory (SCM) tiers and NVMe-oF, the platform scales seamlessly to accommodate growing enterprise data needs.

Unified Data Architecture

Consolidate data storage, processing, and retrieval into one integrated platform, reducing the need for external data lakes and SaaS tools. This architecture simplifies data management, cuts costs, and eliminates complex ETL processes, streamlining the entire AI workflow.

Data Consistency and Security

Data updates are atomically synchronized across file systems, object storage, and vector databases. Built-in Access Control Lists (ACLs) ensure comprehensive security management and regulatory compliance across the data lifecycle, maintaining integrity and protection for AI operations.