Mar 17: Hitachi Vantara, a subsidiary of Hitachi Ltd. announced significant enhancements to its Hitachi iQ portfolio. The updates include advanced AI blueprints, multi-agent coordination capabilities in Hitachi iQ Studio, expanded infrastructure support with NVIDIA AI systems, and deeper data integration to support agentic AI across on-premises and virtualized environments.
These advancements position Hitachi iQ as a comprehensive, enterprise-grade AI platform, enabling organizations to securely build, deploy, and manage AI agents within their own environments while maintaining governance and compliance.
Addressing Enterprise AI Challenges
As organizations transition from AI experimentation to production-scale deployment, challenges related to data complexity, sovereignty, and governance continue to grow. The enhanced Hitachi iQ portfolio is designed to bridge this gap by integrating AI-ready infrastructure, intelligent data orchestration, and enterprise-grade oversight.
“AI is moving into production faster than many organizations’ data foundations are ready to support,” said Octavian Tanase. “With these enhancements, we are expanding software innovation, high-performance infrastructure, and intelligent data integration to provide customers greater flexibility and control in deploying agentic AI.”
Advanced Infrastructure for AI Workloads
The platform is powered by Virtual Storage Platform One (VSP One) and supports next-generation accelerated computing, including:
-
NVIDIA Blackwell GPUs (air-cooled)
-
NVIDIA Blackwell Ultra GPUs (air- and liquid-cooled)
-
NVIDIA MGX-based systems with RTX PRO™ 6000 GPUs
-
Planned support for RTX PRO™ 4500 GPUs
These capabilities enable enterprises to optimize compute resources for diverse AI workloads, from model training to inference and agentic applications, while addressing performance, scalability, and energy efficiency requirements.
Enhanced AI Blueprints and Multi-Agent Coordination
Hitachi iQ Studio introduces new AI blueprints with structured agent roles, including supervisor and worker agents. These capabilities allow organizations to orchestrate complex workflows, automate processes, and maintain transparency and governance across AI operations.
The platform also expands support for advanced large language models and introduces time-aware data capabilities, enabling AI systems to analyze historical datasets with improved context and explainability—critical for data-driven industries.
“As enterprises scale AI, combining accelerated computing with trusted data and consistent software becomes essential,” said Jason Hardy. “Full-stack AI infrastructure enables organizations to achieve broader AI outcomes while maintaining performance and governance.”
Strengthened Data Integration and Accessibility
Through expanded integration with Hammerspace, Hitachi iQ enhances data accessibility for AI agents using the Model Context Protocol (MCP). This allows secure, real-time interaction with distributed datasets without requiring data movement, improving efficiency and maintaining data governance.
This integration strengthens data observability, simplifies workflows, and ensures consistent performance across hybrid environments.
Driving the Future of Enterprise AI
Hitachi Vantara is also aligning with the latest NVIDIA STX reference architecture to develop AI-native storage solutions powered by next-generation technologies.
The company will showcase its innovations at NVIDIA GTC 2026, taking place from March 16–19, 2026, in San Jose.
