Hitachi Vantara has updated its VSP One storage platform to let organisations query supported open-format data directly where it is stored, rather than copying it into separate analytics systems.
The company said the in-place analytics capability supports up to five times faster analytical queries with 80% fewer CPUs, and is aimed at AI and analytics workloads running on VSP One Object. Supported formats include Iceberg, Parquet, JSON and CSV.
The update also introduces a four-node starting configuration for VSP One Object, positioning it as a smaller entry point for organisations looking to deploy and scale object storage for AI-ready data infrastructure. Hitachi Vantara said the release includes expanded multisite replication and regional capabilities intended to improve availability and resilience.
In the same release, Hitachi Vantara said Hitachi iQ Studio now connects to more enterprise data sources and adds controls for how AI agents access models and tools. New capabilities cited include additional knowledge sources such as filesystem and NFS for retrieval-augmented generation, plus a “Model Gateway” for governed access to local and external models and governed Model Context Protocol connectivity. ServiceNow support was also included in the list of additions.
“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 at Hitachi Vantara.
The announcement comes as organisations continue to grapple with moving from AI pilots to broader deployment, amid ongoing concerns about data quality and governance. Hitachi Vantara referenced external research suggesting AI use is widespread in at least one business function, but less than half of organisations report scaling AI across the enterprise.
Hitachi Vantara said it plans to showcase the updated capabilities at Supercomputing 2026 in Chicago from Nov. 16–19.
