Hitachi Vantara Brings Enterprise Data and AI Closer with New VSP One Enhancements

Hitachi Vantara, the data storage, infrastructure and hybrid cloud management subsidiary of Hitachi, Ltd. has announced new enhancements to its Virtual Storage Platform One (VSP One) data platform and Hitachi iQ portfolio, aimed at helping organizations establish a more scalable and reliable foundation for Enterprise AI. The latest developments, led by upgrades to VSP One Object, are designed to simplify the deployment and scaling of object storage for AI and analytics workloads, enable data lakehouse analytics closer to where enterprise data resides, and strengthen governed access to business data through Hitachi iQ Studio. By bringing together scalable storage infrastructure, in-place analytics and governed AI software, the enhancements aim to help businesses transition from trusted enterprise data to production-ready AI with greater efficiency and control.

As organizations accelerate their adoption of AI, translating initial experiments into enterprise-wide deployments remains a significant challenge. 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, but only 44% report that AI has scaled across the enterprise. IDC research further highlights the data challenge, with 89% of organizations globally acknowledging some level of data-quality issue. These findings underline the importance of reliable, accessible enterprise data and scalable infrastructure in supporting AI adoption. Moving beyond standalone AI initiatives requires robust data foundations and governed tools that enable AI applications and agents to securely connect with enterprise data, models and workflows.

The latest enhancements to VSP One Object are designed to make AI-ready data infrastructure more accessible and easier to scale. With a four-node entry configuration and simplified deployment, organizations can establish their object storage environment with a smaller initial footprint. Improvements in small-object performance also deliver up to 5.5x faster data access for AI, analytics and S3 workloads, supporting quicker insights and more responsive applications. In addition, expanded multisite replication and regional capabilities help maintain data availability, protection and accessibility during disruptions, strengthening resilience for business-critical AI and analytics workloads.

VSP One Object further strengthens its analytics capabilities by allowing organizations to run queries directly on supported open-format data, including Iceberg, Parquet, JSON and CSV, without moving it to separate analytics platforms. According to Hitachi Vantara, these enhancements deliver up to 5x faster analytical query performance while using 80% fewer CPUs. By bringing analytics closer to where data is stored, the platform helps minimize data duplication, reduce the complexity of data pipelines and lower the additional infrastructure requirements associated with maintaining separate analytics environments.

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“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.