Hitachi Vantara, Hitachi’s subsidiary, has announced the Hitachi iQ M Series, a new AI-ready infrastructure solution. The solution offers lower entry costs and built-in adaptability, combining Hitachi Vantara Virtual Storage Platform One storage, integrated file system choices, and optional NVIDIA AI Enterprise software. The Hitachi iQ M Series enables businesses to choose the most suitable GPU for specific workloads, ensuring optimal performance across different AI applications. It allows for the scaling of compute and storage independently, adapting to diverse data sizes, data types, and workloads. This allows for efficient resource allocation, reducing unnecessary expenses and overprovisioning. The solution is designed to help businesses transition from AI to ROI.
Additionally, Hitachi iQ is integrating the NVIDIA AI Data Platform reference design, created to power the era of enterprise agentic AI. Using the design, Hitachi Vantara will integrate its best-in-class enterprise storage with NVIDIA’s accelerated computing, networking, and AI software to enable AI agents with near real-time business insights. This ensures that Hitachi Vantara customers will benefit from the highest standard for performance and reliability, seamlessly powering their most critical AI applications and transforming their data into actionable insights. Through its continued collaboration with NVIDIA, Hitachi Vantara will continue to innovate its AI-ready infrastructure, reshaping how organizations manage and use data, closing the gap between AI agents and business knowledge.
“We’re on a mission to help customers from all industries harness the power of AI regardless of the market they’re in,” said Jason Hardy, chief technology officer for artificial intelligence at Hitachi Vantara. “With the expansion of computing power from Hitachi iQ M Series and the high performance and reliability standards inherent in the NVIDIA AI Data Platform, we have created a unique opportunity for businesses to innovate, revamp user experiences, streamline operations, and optimize cost. This enables businesses to capitalize on AI without overburdening their teams or their bottom line.”
As a part of the Hitachi iQ portfolio, the M Series features flexible configurations using NVIDIA accelerated computing and a choice of a high-performance file system or a global namespace file system. There is also an optional object storage repository available within the Hitachi iQ portfolio. As a result, the M Series can handle various data types, sizes, and workload demands, making it ideal for businesses operating in dynamic and data-intensive environments.
“Enterprises generate and store vast amounts of data, much of it unstructured and inaccessible to modern AI-driven applications,” said Bob Pette, vice president of enterprise platforms at NVIDIA. “With the AI Data Platform reference design, stored data is accessible in real time on Hitachi iQ, giving applications access to full knowledge of the business and providing invaluable insights that strategically accelerate AI initiatives.”
Additionally, to bolster the data orchestration power of Hitachi iQ, Hitachi Vantara has entered into a strategic resell agreement with Hammerspace, a fast-growing software company that is radically changing how data is used and preserved. Through the agreement, Hitachi Vantara has integrated Hammerspace software with the VSP One storage platform, expanding Hitachi iQ’s capabilities to address different data management requirements for dataset creation, processing, governance, and protection. The joint VSP One and Hammerspace solution ensures distributed data is easily and transparently accessible from anywhere for GenAI workloads. As a result, Hitachi iQ represents a complete infrastructure solution for AI, GenAI, analytics, and data lake environments across a range of industry-specific use cases.
The Hitachi iQ portfolio of AI-ready infrastructure, solutions, and services is among the most comprehensive, end-to-end AI enablement tools available today. The portfolio includes an AI Discovery Service designed to help customers identify the most valuable AI use cases, assess their data readiness, determine ROI, and create a strategic roadmap for successful AI implementation.
