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

Résumé détaillé
VSP One Object gives organisations a simplified path to deploy AI-ready data infrastructure, with a smaller four-node starting configuration and simplified deployment that make...
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 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.
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.
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.
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.
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