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VAST Data and NVIDIA Partner to Power Real-Time AI Agent Intelligence

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AI
NVIDIA
EnterpriseTech

VAST Data integrates its platform with NVIDIA AI-Q to enable real-time multimodal AI agent intelligence for enterprises, showcased at COMPUTEX.

VAST Data and NVIDIA Integration

VAST Data, a leading AI data platform company, has announced a significant integration with NVIDIA AI-Q to create a unified foundation for building, accelerating, and scaling AI agents across enterprise environments. This partnership leverages the VAST Data Platform and NVIDIA's AI-Q Blueprint to optimize real-time multimodal data access and intelligent agent orchestration for large-scale AI systems.

Key Highlights from the Collaboration

  • Live Demo at COMPUTEX: NVIDIA CEO Jensen Huang showcased the integration during his keynote, demonstrating how AI agents can access and reason over multimodal and structured data in real time. Watch the demo here.
  • NVIDIA AI-Q Blueprint: This reference implementation simplifies the creation of agentic AI query engines, enabling transparent and traceable reasoning across structured and unstructured data. Learn more about the NVIDIA AI-Q Blueprint.
  • VAST Data Platform: Combines NVIDIA Blackwell accelerated computing, networking, and AI-Q Blueprint with VAST's unified data platform to deliver unprecedented speed and scale for AI systems.

Enterprise Benefits

  • Multimodal RAG Without Limits: AI agents can access unstructured data like documents, images, and videos, enabling deep, context-aware insights.
  • Native Structured Data Access: Direct connectivity to ERP, CRM, and data warehouses ensures AI decisions are grounded in current enterprise data.
  • High-Speed Data Access: VAST's architecture eliminates bottlenecks for petabyte- and exabyte-scale datasets.
  • Real-Time Agent Optimization: The NVIDIA Agent Intelligence toolkit and VAST's telemetry enable fine-tuning of multi-agent workflows.
  • Unified Global DataSpace: VAST's global namespace and data cataloging make enterprise knowledge discoverable.
  • Privacy-Preserving Integration: Sensitive data remains secure while enabling agentic reasoning.
  • Enterprise-Grade Access Control: Robust security policies regulate data access.

Industry Perspectives

"AI-driven data platforms are key to helping enterprises deploy sophisticated agentic AI systems," said Justin Boitano, VP of Enterprise AI at NVIDIA. "Together, NVIDIA and VAST are creating the next generation of AI infrastructure."

Jeff Denworth, Co-Founder at VAST Data, added, "The agentic era will challenge legacy infrastructure assumptions. Our integration with NVIDIA delivers the scalable, high-performance platform needed for real-time, multimodal AI intelligence."

This collaboration positions VAST Data and NVIDIA as leaders in enabling enterprises to build AI intelligence engines that automate tasks, deliver accurate insights, and continuously improve through an AI data flywheel.

About the Author

Dr. Lisa Kim

Dr. Lisa Kim

AI Ethics Researcher

Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.

Expertise

AI Ethics
Algorithmic Fairness
AI Governance
Responsible AI
Experience
13 years
Publications
95+
Credentials
2

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