VAST Integrates NVIDIA AI-Q for Advanced Multimodal AI

VAST Data, a leading AI data platform provider, has announced a strategic integration of its platform with NVIDIA’s AI-Q framework. This collaboration creates a comprehensive infrastructure designed to build, accelerate, and scale AI agents efficiently across enterprise environments. By combining VAST’s platform with NVIDIA’s AI-Q Blueprint, the partnership enhances real-time multimodal data handling and orchestrates intelligent AI agents at enterprise scale.

Live Demonstration at COMPUTEX Showcases Capabilities

The collaboration between VAST Data and NVIDIA was spotlighted during NVIDIA CEO Jensen Huang’s keynote at COMPUTEX. A live demonstration illustrated how enterprise AI agents can instantly access and analyze a mix of structured and unstructured data types, empowering intelligent decision-making through real-time reasoning over diverse datasets.

Role of NVIDIA AI-Q Blueprint in Simplifying AI Queries

Central to the demonstration was the NVIDIA AI-Q Blueprint, a reference design that accelerates metadata extraction and facilitates seamless connections among AI agents, data sources, and analytical tools. This framework streamlines the development and deployment of AI query engines capable of reasoning transparently across both structured databases and unstructured data, ensuring traceability and accountability.

Integrating Advanced Technologies for Enterprise AI at Scale

The VAST AI Data Platform integrates NVIDIA’s Blackwell accelerated computing, networking technologies, and the AI-Q Blueprint with its unified platform. This fusion brings together databases, computation, and data services, enabling rapid, real-time data access that supports the orchestration of intelligent AI agents. The result is an enterprise AI system capable of operating with unmatched speed and scale.

“The agentic era is going to challenge every assumption about the scale, performance, and value of legacy infrastructure,” said Jeff Denworth, Co-Founder at VAST Data. “As enterprises race to operationalize AI, it’s no longer enough to just build smarter models — those models need immediate, unrestricted access to the data that drives intelligent decision-making. By embedding NVIDIA AI-Q into a platform purpose-built for the AI era, we’re delivering the scalable, high-performance data platform required to power the next generation of enterprise AI; one driven by real-time, multimodal intelligence, continuous learning, and dynamic agentic pipelines.”

Enabling AI Agents with Continuous Multimodal Data Access

With this integration, enterprises gain high-throughput, real-time access to a wide range of multimodal data, including images, documents, chat transcripts, videos, and emails. This empowers AI agents to continuously interpret and act on the entirety of an organization’s knowledge base. Leveraging NVIDIA’s NeMo Retriever, relevant data is extracted, embedded, and prioritized before being processed by advanced language and reasoning models, creating a secure, AI-native data pipeline.

“AI-driven data platforms are key to helping enterprises put their data to work to drive sophisticated agentic AI systems,” said Justin Boitano, Vice President, Enterprise AI at NVIDIA. “Together, NVIDIA and VAST are creating the next generation of AI infrastructure with powerful AI systems that let enterprises quickly find insights and knowledge stored in their business data.”

Key Benefits of the VAST and NVIDIA AI-Q Integration

> Comprehensive Multimodal Data Access: AI agents can seamlessly explore and analyze a vast array of unstructured and semi-structured data sources, such as enterprise documents, media files, chat logs, PDFs, and external content like websites and market feeds—delivering rich, context-aware insights.

> Direct Access to Structured Enterprise Systems: The platform provides native, real-time connectivity to structured data systems like ERP, CRM, and data warehouses. This ensures AI-driven insights are grounded in the most current and authoritative business data.

> Ultra-Fast Data Retrieval: VAST’s disaggregated, parallelized architecture supports rapid, concurrent access to enormous datasets at petabyte and exabyte scale, eliminating latency issues for AI inference and data retrieval.

> Dynamic AI Agent Performance Tuning: By combining NVIDIA’s Agent Intelligence toolkit with VAST’s built-in telemetry, enterprises can monitor, adjust, and accelerate multi-agent workflows in real time.

> Unified Global Data Space: VAST’s global namespace and data catalogue enable agents to discover and utilize organizational knowledge seamlessly, regardless of geographic or departmental boundaries.

> Data Privacy and Governance: The solution allows enterprises to keep sensitive information securely in place, enabling AI agents to operate without breaching data residency or compliance policies.

> Enterprise-Level Security Controls: Robust security measures and fine-grained access controls within the VAST platform ensure that only authorized users and AI agents can access critical data, maintaining strict governance.

Empowering AI-Driven Enterprise Intelligence

Together, VAST Data and NVIDIA are providing enterprises with the tools to construct real-time AI intelligence systems. These AI agent teams deliver more precise insights, automate complex multi-step processes, and continually refine their performance through an ongoing AI data feedback loop, driving smarter and faster business outcomes.