Hitachi iQ M Series leverages NVIDIA AI Data Platform to provide reliability and performance, enabling a faster shift.
Data storage infrastructure Hitachi Vantara launched its Hitachi iQ M Series, the latest addition to the Hitachi iQ portfolio of AI-ready infrastructure solutions. This new solution combines Hitachi Vantara Virtual Storage Platform One (VSP One) storage, integrated file system choices, and NVIDIA AI Enterprise software into a single solution.
As more businesses adopt AI, the rapid increase in training costs and data management presents significant challenges. The Hitachi iQ M Series allows for a choice of NVIDIA accelerating computing platforms to select the most suitable GPU for specific workloads to ensure optimal performance across different AI applications.
The solution allows for the scaling of compute and storage independently with the flexibility to adapt to diverse and fluctuating data sizes, data types, and workloads, meaning businesses can allocate resources efficiently, scaling compute or storage as needed
“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 optimise cost. This enables businesses to capitalize on AI without overburdening their teams or their bottom line.”
“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.”
