Hitachi Vantara, the data storage, infrastructure, and hybrid cloud management subsidiary of Hitachi Ltd., has launched Hitachi iQ Studio, the newest addition to its Hitachi iQ portfolio of AI solutions. The company designed this platform to help enterprises build, deploy, and manage AI agents and applications at scale through a no-code and low-code environment. Acting as a turnkey integration hub, Hitachi iQ Studio offers a comprehensive library of industrial AI solution templates that enable rapid prototyping and production across multiple data environments. As a result, organizations can operationalize AI faster while retaining full control over their data and models.

Although AI adoption is expanding rapidly, many companies still struggle to transition from experimentation to scaled deployment. A recent Boston Consulting Group report revealed that 74% of companies face challenges in operationalizing AI and achieving tangible business impact. Moreover, most of these issues stem from people and process limitations, such as a shortage of AI expertise and inadequate data governance. Addressing these barriers, Hitachi developed iQ Studio to simplify AI design and deployment while ensuring security, compliance, and cost-efficiency.

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Unlike fragmented tools or cloud-only services, Hitachi iQ Studio delivers a fully governed, on-premises, and sovereign AI environment. This setup enables enterprises, particularly those in regulated industries, to meet compliance requirements and protect sensitive information. The solution is built on the NVIDIA AI Data Platform reference design, featuring pre-integrated retrieval-augmented generation (RAG) pipelines that prepare AI-ready data for agentic workloads. Additionally, the integration of Model Context Protocol (MCP) enhances automation, fast data access, and template-based deployment, empowering even non-technical teams to create and launch AI solutions effortlessly.

“AI has evolved beyond experimentation, but many organizations still need the right foundation to scale it effectively,” said Jason Hardy, Chief Technology Officer for AI at Hitachi Vantara. “With Hitachi iQ Studio, we are making AI more user-friendly and manageable by combining accessible tools with enterprise-grade performance and governance. The result is faster innovation, stronger oversight, and a path to scalable, responsible AI.”

By merging intuitive design with enterprise-grade infrastructure, Hitachi iQ Studio enables both technical and business teams to develop, monitor, and govern AI agents that drive measurable results. It supports model and prompt management, data curation, lifecycle governance, and scalable deployment for both predictive and generative AI applications.

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Key benefits of Hitachi iQ Studio include:

  • AI-ready data for agentic AI through secure RAG pipelines.
  • Faster time-to-value via MCP connectors and pre-built algorithms.
  • Democratization of AI using a visual, no-code interface for non-technical users.
  • Industrial AI enablement with ready-made blueprints for predictive maintenance, skill evaluation, and fleet optimization.

“As organizations bring AI into production, the ability to keep data secure, scalable, and close to compute is essential for AI agents and other reasoning applications,” said Jacob Liberman, Director of Enterprise Product at NVIDIA. “By combining Hitachi Vantara’s enterprise data expertise with NVIDIA accelerated computing and software, Hitachi iQ Studio gives customers the performance, scalability, and efficiency they need to build and deploy advanced AI systems at enterprise scale.”

Hitachi iQ infrastructure, which includes Hitachi Content Software for File (HCSF), has also earned NVIDIA Enterprise Storage Certification, confirming its ability to handle large-scale AI and high-performance computing workloads. Furthermore, HCSF achieved NVIDIA Cloud Partner (NCP) certification, validating its end-to-end AI stack compatibility and seamless integration with NVIDIA AI Enterprise.

According to Ashish Nadkarni, Group Vice President and General Manager of Worldwide Infrastructure Research at IDC, “Scaling AI depends as much on having the right data and infrastructure readiness as it does on models or compute. Solutions like Hitachi iQ Studio represent an important step toward creating unified AI environments that help organizations overcome data silos, strengthen governance, and turn AI experimentation into measurable business outcomes.”

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