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Home AI and Machine Learning

Hitachi Vantara expands Hitachi iQ Capabilities for responsible AI deployments

by FutureCIO Editors
March 23, 2026
Image by Gerd Altmann from Pixabay

Image by Gerd Altmann from Pixabay

Hitachi Vantara has unveiled new capabilities across the Hitachi iQ portfolio to integrate AI-ready infrastructure, agent capabilities and enterprise-grade oversight and compliance controls designed for responsible enterprise AI deployments.

Octavian Tanase
Octavian Tanase

Octavian Tanase, chief product officer, Hitachi Vantara, said: “With these latest enhancements to the Hitachi iQ portfolio, we are expanding across software innovation, high-performance infrastructure and intelligent data integration to give customers greater flexibility and control as they move agentic AI from pilot to production.”

 Hitachi iQ portfolio

New offers include enhanced AI blueprints and multi-agent coordination in Hitachi iQ Studio, expanded NVIDIA AI infrastructure options, and deeper data integration to support agentic AI in on-premises and virtualised environments.

  • New accelerated computing options for modern AI workloads: Hitachi iQ now supports NVIDIA Blackwell GPUs (air-cooled), NVIDIA Blackwell Ultra GPUs (air-cooled and liquid-cooled), and a 2U NVIDIA MGX-based system with up to four NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs for greater flexibility.
  • New AI blueprints and data orchestration in Hitachi iQ Studio: Hitachi iQ Studio, the AI software component of the Hitachi iQ portfolio, enables organisations to design, deploy and govern AI agents within secure enterprise environments.
  • Expanded Hammerspace capabilities: Data managed by Hammerspace can be accessed directly within Hitachi iQ Studio using Model Context Protocol (MCP), tosimplify, automate and accelerate data access
  • Accelerating AI storage: Hitachi Vantara will also be supporting the newly announced NVIDIA STX reference architecture to develop AI-native storage solutions powered by NVIDIA Vera Rubin, BlueField-4, Spectrum-X networking, and NVIDIA AI software.
Jason Hardy
Jason Hardy

“Full-stack AI infrastructure optimised for enterprise demand enables organisations to support a wider range of AI outcomes while maintaining the performance, governance, and operational consistency enterprises require,” said Jason Hardy, vice president of storage technologies, NVIDIA. 

Related:  Developing a data strategy for business agility
Tags: AI-ready infrastructureArtificial Intelligencedigital transformationHitachi VantaraNvidia

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