Hitachi Vantara unveils the Hitachi iQ M Series, a modular AI-ready infrastructure solution designed for hybrid cloud data orchestration and scalable AI workloads.
This innovative addition to the Hitachi iQ portfolio combines Hitachi Vantara Virtual Storage Platform One (VSP One) storage, integrated file system choices, and optional NVIDIA AI Enterprise software into a scalable, adaptable, cost-effective AI infrastructure solution.
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 optimise cost. This enables businesses to capitalise on AI without overburdening their teams or their bottom line.”
NVIDIA AI Data Platform
Hitachi iQ is integrating the NVIDIA AI Data Platform reference design to combine its enterprise storage with NVIDIA’s accelerated computing, networking, and AI software.
The M Series empowers businesses with its flexible configurations, offering a choice between a high-performance file system for speed or a global namespace file system for unified data access across locations. An optional object storage repository within the Hitachi iQ portfolio enables M Series to handle the various data types, sizes, and workload demands, giving businesses the power to tailor their AI infrastructure to their specific needs.
“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.”
AI-driven data management
In addition, Hitachi Vantara has partnered with NVIDIA and Hammerspace to enhance AI-driven data management. Integrating with NVIDIA AI Data Platform aims to ensure real-time insights, while Hammerspace claims to enable seamless access to distributed data, optimising AI workload performance.
