Hitachi Vantara, the data storage, infrastructure and hybrid cloud management subsidiary of Hitachi, Ltd. (TSE: 6501), today announced new capabilities across its Virtual Storage Platform One (VSP One) data platform and Hitachi iQ portfolio to help organizations build a stronger, more scalable foundation for enterprise AI. Led by enhancements to VSP One Object, the latest updates give organizations a more practical path to deploy and scale object storage for AI and analytics workloads, bring data lakehouse analytics closer to where data resides and expand governed access to enterprise data through Hitachi iQ Studio. Together, the updates connect scalable data infrastructure, in-place analytics and governed AI software to help organizations move from trusted enterprise data to production AI with greater control.
AI Adoption
As AI adoption accelerates, many organizations still struggle to turn experimentation into enterprise-scale deployment. According to McKinsey’s 2026 State of AI survey, nearly nine in 10 respondents say their organizations regularly use AI in at least one business function, yet only 44% report that AI is scaling across the enterprise. IDC research also finds that globally, 89% of organizations acknowledge some level of data-quality problem, underscoring the challenge of putting enterprise data to work for AI at scale. Moving beyond isolated deployments requires trusted and accessible data, infrastructure that can scale with growing workloads and governed tools that connect AI applications and agents to enterprise data, models and workflows.
VSP One Object
The latest VSP One Object enhancements provide a smaller starting point for organizations building and scaling AI-ready data infrastructure. The four-node starting configuration and simplified deployment make it easier for organizations to get started with AI-ready data infrastructure, while continued small-object performance improvements support up to 5.5x faster access to data for AI, analytics and S3 workloads, enabling faster decision-making and more responsive applications. Expanded multisite replication and regional capabilities are designed to help data remain available, protected and accessible even in the face of disruptions, providing a more resilient data foundation for AI and analytics workloads.
VSP One Object also extends that data foundation into analytics by enabling organizations to query supported open-format data, including Iceberg, Parquet, JSON and CSV, directly on VSP One Object. These capabilities support up to 5x faster analytical query performance with 80% fewer CPUs. By reducing the need to move or copy data into separate analytics systems, organizations can reduce duplicate datasets, data pipelines and the additional infrastructure needed to maintain them.
“AI strategy is now inseparable from data strategy. As AI becomes part of more business-critical workloads, the infrastructure underneath it has to make it easier to put enterprise data to work,” said Octavian Tanase, chief product officer, Hitachi Vantara. “With VSP One, we’re giving customers a practical way to build the data foundation for AI, bring analytics closer to their data and scale with confidence as demand grows. That creates a stronger path from experimentation to production without sacrificing the resilience and control enterprises depend on.”
A Data Foundation for Enterprise AI
VSP One is Hitachi Vantara’s unified data platform, bringing storage together under a common intelligent control plane. For AI workloads, VSP One provides the data foundation for Hitachi iQ, helping activate governed data where it resides. With VSP One Object providing the storage foundation and bringing analytics closer to the data, Hitachi iQ brings validated AI infrastructure and software to connect AI applications and agents to enterprise data, models, tools and workflows, helping organizations move from trusted data through analytics to production AI.
Hitachi iQ Studio provides the enterprise software used to build, deploy, manage and govern AI applications and agents. With the latest release, Hitachi iQ Studio:
- Expands access to structured and unstructured enterprise data for retrieval-augmented generation (RAG), including new filesystem and NFS knowledge sources, enabling more accurate, context-aware AI responses and agents without requiring organizations to move or restructure all of their data first.
- Adds Model Gateway for governed access to local and external models, governed Model Context Protocol (MCP) connectivity and ServiceNow support, along with role-based access, observability and lifecycle management for enterprise AI applications and agents. This allows organizations to more easily build AI agents, connect them to trusted data sources and strengthen governance across model access, tools and operations.
Hitachi Vantara is applying this combination of AI-ready infrastructure, software and industry expertise to real-world challenges. By combining Hitachi Vantara technologies such as Hitachi iQ with broader Hitachi industry expertise, this approach reflects the capabilities behind Hitachi AI Factory and helps customers move from AI experimentation toward production. This combination is designed to help organizations focus AI on real operational challenges and build toward solutions that deliver meaningful value at scale.
Hitachi Vantara will showcase its latest enterprise AI capabilities at Supercomputing 2026, taking place Nov. 16-19 at McCormick Place in Chicago. Attendees can visit booth #1429 to explore governed AI agents built with Hitachi iQ Studio and analytics running directly against data in VSP One Object, bringing together AI-ready data, scalable infrastructure and governed agentic AI to help move enterprise AI from pilot to production.
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