Updates to VSP One Object and Hitachi iQ Studio introduce a smaller storage configuration, in-place analytics and expanded governed data access, aimed at helping enterprises deploy and scale AI applications while retaining resilience and control.
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Hitachi Vantara has announced new capabilities across its Virtual Storage Platform One (VSP One) data platform and Hitachi iQ portfolio, combining object storage enhancements, data lakehouse analytics and governance tools for enterprise AI applications.
The updates include a four-node starting configuration for VSP One Object, support for querying open-format data directly on the platform, and expanded access to structured and unstructured enterprise data through Hitachi iQ Studio.
Smaller starting configuration for object storage
VSP One Object’s four-node starting configuration and simplified deployment are designed to give organisations a smaller entry point for AI and analytics infrastructure, with capacity to scale as demand grows.
Hitachi Vantara said improvements in small-object performance support up to 5.5 times faster data access for AI, analytics and S3 workloads. Expanded multisite replication and regional capabilities are intended to maintain data availability, protection and accessibility during disruptions.
“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.”
Analytics closer to stored data
The enhancements allow organisations to query supported open-format data, including Iceberg, Parquet, JSON and CSV, directly on VSP One Object.
According to Hitachi Vantara, these capabilities support up to five times faster analytical query performance with 80% fewer CPUs. The company said querying data where it resides can reduce the need to move or copy it into separate analytics systems, limiting duplicate datasets, data pipelines and supporting infrastructure.
VSP One brings storage under a common intelligent control plane and provides the data foundation for Hitachi iQ. The portfolio combines AI infrastructure and software to connect applications and agents with enterprise data, models, tools and workflows.
Hitachi iQ Studio adds data access and governance capabilities
Hitachi iQ Studio, the software used to build, deploy, manage and govern AI applications and agents, now supports additional enterprise data sources for retrieval-augmented generation (RAG).
New filesystem and Network File System (NFS) knowledge sources expand access to structured and unstructured data. The company said this is intended to support more accurate, context-aware responses without requiring organisations to move or restructure all their data first.
The release also adds Model Gateway for governed access to local and external models, governed Model Context Protocol (MCP) connectivity, and ServiceNow support. These capabilities sit alongside role-based access, observability and lifecycle management to help organisations govern model access, tools and agent operations.
Hitachi Vantara said the combination of infrastructure, software and wider Hitachi industry expertise supports its Hitachi AI Factory approach to moving enterprise AI projects into production.
The company will showcase the capabilities at Supercomputing 2026, scheduled for November 16–19 at McCormick Place in Chicago.
