Hitachi Vantara Expands Hitachi iQ for Responsible Agentic AI

24 Mar 2026 CW Team

Organisations moving from experimentation to scaled deployment are facing challenges related to data complexity, AI sovereignty and evolving governance and security requirements. A recent report cited that in the United States and Canada only 42 per cent of organisations are considered data-mature and that 84 per cent of those organisations report measurable AI return on investment, compared with 48 per cent of organisations with weaker data foundations. The chief product officer at Hitachi Vantara stated that AI is moving into production faster than many organisations' data foundations are ready to support, underscoring the need for stronger data practices and secure infrastructure.

The product updates add support for NVIDIA Blackwell GPUs, NVIDIA Blackwell Ultra GPUs and NVIDIA MGX-based systems with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, with planned support for NVIDIA RTX PRO 4500 Blackwell Server Edition. The company also indicated support for NVIDIA STX reference architecture to develop AI-native storage solutions powered by NVIDIA technologies. Integration between Hitachi iQ Studio and Hammerspace was described as enabling data access via the Model Context Protocol so AI systems can connect securely to external data sources.

Hitachi Vantara said the toolkit of blueprints, orchestration and infrastructure options is intended to simplify deployment and governance of agentic AI for enterprises that require on-prem control and data sovereignty. The vendor will showcase Hitachi iQ and Hitachi iQ Studio at NVIDIA GTC 2026 in San Jose, California. Customers and partners are invited to review product details and technical resources on the company website.

Hitachi Vantara has announced new capabilities across the Hitachi iQ portfolio that extend support for agentic artificial intelligence and on-premises deployments. The updates 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 virtualised and physical environments. The company presented the enhancements as building blocks for an enterprise-ready AI solution that allows customers to design and manage AI agents within their own secure infrastructure. Organisations moving from experimentation to scaled deployment are facing challenges related to data complexity, AI sovereignty and evolving governance and security requirements. A recent report cited that in the United States and Canada only 42 per cent of organisations are considered data-mature and that 84 per cent of those organisations report measurable AI return on investment, compared with 48 per cent of organisations with weaker data foundations. The chief product officer at Hitachi Vantara stated that AI is moving into production faster than many organisations' data foundations are ready to support, underscoring the need for stronger data practices and secure infrastructure. The product updates add support for NVIDIA Blackwell GPUs, NVIDIA Blackwell Ultra GPUs and NVIDIA MGX-based systems with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, with planned support for NVIDIA RTX PRO 4500 Blackwell Server Edition. The company also indicated support for NVIDIA STX reference architecture to develop AI-native storage solutions powered by NVIDIA technologies. Integration between Hitachi iQ Studio and Hammerspace was described as enabling data access via the Model Context Protocol so AI systems can connect securely to external data sources. Hitachi Vantara said the toolkit of blueprints, orchestration and infrastructure options is intended to simplify deployment and governance of agentic AI for enterprises that require on-prem control and data sovereignty. The vendor will showcase Hitachi iQ and Hitachi iQ Studio at NVIDIA GTC 2026 in San Jose, California. Customers and partners are invited to review product details and technical resources on the company website.

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