Hitachi Vantara Expands Hitachi iQ Capabilities to Help Enterprises Advance Responsible Agentic AI

Executive Summary

• Hitachi Vantara announced new capabilities for its Hitachi iQ portfolio, including enhanced AI blueprints, multi‑agent coordination, and expanded NVIDIA GPU infrastructure options.
• The enhancements add support for NVIDIA Blackwell GPUs, new AI blueprints with supervisor/worker agent roles, integration with Hammerspace data access, and plans for AI‑native storage solutions.
• Hitachi Vantara will showcase the updated portfolio at NVIDIA GTC 2026 (March 16‑19, San Jose).

Key Details

• AI Blueprint Enhancements: Introduced defined supervisor and worker agent roles; multi‑agent coordination to move from prototype to production with improved governance.
• GPU Infrastructure Options: Added support for NVIDIA Blackwell GPUs (air‑cooled), Blackwell Ultra GPUs (air‑cooled & liquid‑cooled), a 2U NVIDIA MGX system with up to four RTX PRO™6000 Blackwell Server Edition GPUs, and planned support for NVIDIA RTX PRO™4500 Blackwell Server Edition GPU.
• Data Orchestration: Expanded integration with Hammerspace via Model Context Protocol (MCP) enabling AI agents to securely access distributed data without relocation, preserving 100% data availability on VSP One.
• AI Studio Updates: Added support for NVIDIA Nemotron large language models and “time machine” capabilities for historical dataset navigation, enhancing explainability and long‑term pattern analysis.
• Accelerated Computing Stack: Hitachi iQ now integrates accelerated computing, networking, and storage into a validated stack built on VSP One, improving data‑close‑to‑compute efficiency for AI workloads.
• AI‑Native Storage Roadmap: Commitment to develop storage solutions based on NVIDIA STX reference architecture, leveraging NVIDIA Vera Rubin, BlueField‑4, Spectrum‑X networking, and NVIDIA AI software.
• Showcase Event: Hitachi Vantara will demonstrate the updated Hitachi iQ portfolio at NVIDIA GTC 2026 (March 16‑19, San Jose, CA).

Notable Quotes

“AI is moving into production faster than many organizations' data foundations are ready to support,” said Octavian Tanase, Chief Product Officer, Hitachi Vantara.
“Full‑stack AI infrastructure optimized for enterprise demand enables organizations 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.