Hitachi Vantara Expands VSP One for Enterprise AI with New Object Storage and Data Lakehouse Capabilities

• 13 Nov 2026
• TM Team
• 0 Comments

Hitachi Vantara, the data storage, infrastructure and hybrid cloud management subsidiary of Hitachi, Ltd., announced new capabilities across its Virtual Storage Platform One (VSP One) data platform and Hitachi iQ portfolio to help organisations build a stronger, more scalable foundation for enterprise AI. Led by enhancements to VSP One Object, the latest updates give organisations 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 organisations move from trusted enterprise data to production AI with greater control.

As AI adoption accelerates, many organisations 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 organisations 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 organisations 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.

The latest VSP One Object enhancements provide a smaller starting point for organisations building and scaling AI-ready data infrastructure. The four-node starting configuration and simplified deployment make it easier for organisations 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 organisations 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, organisations 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.”