VAST Data Integrates with NVIDIA to Power Real-Time, Multimodal AI Agent Intelligence

VAST Data, a leading AI data platform company, has announced the integration of its VAST Data Platform with NVIDIA AI-Q, ushering in a new era of real-time, multimodal AI agent intelligence for enterprise environments. This collaboration was showcased during NVIDIA CEO Jensen Huang’s keynote at COMPUTEX, featuring a live demonstration of the platform’s capabilities.

By combining NVIDIA's AI-Q Blueprint and Blackwell accelerated computing with VAST’s exabyte-scale unified data platform, the partnership enables enterprises to scale AI agents that can seamlessly access, understand, and act on structured and unstructured data, including images, documents, chat logs, videos, and more.

“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,” said Jeff Denworth, Co-Founder at VAST Data.

Key Highlights of the Integration

• Multimodal Retrieval-Augmented Generation (RAG): AI agents can now access and reason over limitless unstructured and semi-structured content from both enterprise and external sources.

• Real-Time Access to Structured Data: Direct integration with ERP, CRM, and data warehouses ensures that agents rely on up-to-date enterprise metrics and operational insights.

• High-Performance Data Infrastructure: VAST’s disaggregated and parallel architecture enables low-latency, high-throughput access to massive datasets.

• Agent Optimization and Observability: With NVIDIA Agent Intelligence Toolkit and VAST’s telemetry, organizations can fine-tune, accelerate, and monitor multi-agent systems in real-time.

• Unified Global DataSpace: VAST provides a single namespace and enterprise-wide data catalog for agent discovery and utilization of organizational knowledge.

• Privacy-Preserving and Secure: The platform supports robust access control, data governance, and on-premise reasoning, ensuring data sovereignty and compliance.

Using NVIDIA NeMo Retriever, the system efficiently extracts, embeds, and reranks data before sending it to advanced language and reasoning models. This creates a secure, AI-native pipeline that transforms raw data into actionable business insights.

“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,” said Justin Boitano, Vice President of Enterprise AI at NVIDIA.

Empowering the AI-Driven Enterprise

With this integration, VAST and NVIDIA aim to enable businesses to:

• Deploy intelligent, multi-agent systems at scale.

• Automate complex decision-making and workflows.

• Continuously evolve AI capabilities via an AI data flywheel architecture.

The collaboration marks a significant leap in AI infrastructure, setting the foundation for enterprises to unlock real-time intelligence, multimodal perception, and autonomous data-driven operations across industries.