Jason Hardy
Chief Technology Officer for Artificial Intelligence
June 11, 2025
The rapid acceleration of AI adoption is transforming how enterprises design their data infrastructure, driving the need for robust, scalable, and energy-efficient solutions. At Hitachi Vantara, we’re building the future of AI storage by collaborating with NVIDIA to close the gap between data and AI compute. Our mission: help organizations unlock faster, smarter insights with an AI-ready data pipeline.
As more businesses deploy AI to automate workflows, personalize services, and deliver real-time decisions, they encounter new challenges in inference performance and data gravity. Disaggregated architectures, once effective for traditional analytics, struggle under the demands of AI agents requiring high-throughput, low-latency access to vast datasets. The closer the data sits to compute, the faster AI can act.
That’s where our work with NVIDIA comes in.
We’re leveraging the NVIDIA AI Data Platform to bring together enterprise storage, accelerated compute, and intelligent software. Our partnership is focused on solving the critical problem of data access at scale, ensuring that inference, not just training, is efficient and responsive. Together, we’re aligning Hitachi iQ, and Hitachi’s broader enterprise-grade storage portfolio with NVIDIA’s next-generation components to create a more seamless AI pipeline.
The NVIDIA AI Data Platform integrates enterprise storage with NVIDIA accelerated computing, ensuring real-time data accessibility for AI applications. Designed for agentic AI, this platform facilitates efficient retrieval and processing of large volumes of structured and unstructured data.
Components powering the NVIDIA AI Data Platform include:
Hitachi iQ is integrating the NVIDIA AI Data Platform reference design to advance enterprise artificial intelligence. By combining Hitachi Vantara’s enterprise-grade storage with NVIDIA’s accelerated compute, high-performance networking, and AI software, this collaboration enables AI agents to access and act on business data in near real time. The goal is to deliver the performance, reliability, and scalability that organizations need to operationalize AI across critical workloads. Through continued innovation with NVIDIA, Hitachi Vantara is evolving its AI-ready infrastructure to close the gap between data and decision-making—empowering enterprises to turn information into insight faster, with greater precision and efficiency.
A powerful early result of this collaboration is the Hitachi iQ Time Machine, which debuted during Jensen Huang’s keynote at Computex 2025. It serves as our first proof point in the AI Data Platform program with a live demonstration of how storage-aware inference architectures can reshape business insights.
Powered by NVIDIA Blackwell GPUs, NeMo Retriever, and NVIDIA NIMs (NeMo Inference Microservices), Hitachi iQ Time Machine enables AI agents to navigate across temporal datasets with context and speed, what we call “AI that travels through time.” It unlocks rapid recall of institutional knowledge, supporting inferencing not just in the now, but across time horizons critical for industries like manufacturing, financial services, and energy.
While not a standalone product, Hitachi iQ Time Machine represents a capability that may be made available through Hitachi iQ Studio in the future. As our AI strategy evolves it serves as a preview of the advanced inferencing capabilities customers can expect from Hitachi as we expand our iQ platform.
By combining our trusted infrastructure with NVIDIA’s AI innovation, we’re helping customers build inference-ready platforms that are scalable, power-efficient, and insight-driven. This is not just a step forward in storage; it’s a rethinking of the data pipeline first for the age of intelligent agents.
This is just the beginning. With deeper integration of the NVIDIA AI Data Platform across Hitachi iQ and our broader portfolio, we’re committed to helping enterprises reduce time to insight, improve AI agent performance, and modernize their architectures without disruption.
This blog builds on our earlier post, Unleashing AI’s Full Potential, and reflects our ongoing collaboration with NVIDIA. You can also read NVIDIA’s perspective on our work in their recent blog: Storage Leaders Help Build AI Data Platform for Agents.
Jason Hardy is Chief Technology Officer for Artificial Intelligence at Hitachi Vantara
