Hitachi Vantara, Inc., a Hitachi Group company that develops data infrastructure and hybrid cloud businesses, has added a new model to its lineup of AI solutions portfolio, “Hitachi iQ,” and will begin selling it today. This will meet the diversified demand for AI as generative AI is increasingly used, and contribute to improving energy efficiency, which is an urgent need. In
response to the growing demand for AI, since its launch in July 2024, “Hitachi iQ” has developed a lineup that provides total support for companies’ use of generative AI, including AI infrastructure solutions for inference and learning and various linked services.
This time, “Hitachi iQ” has added an enterprise model equipped with NVIDIA Blackwell GPUs and capable of flexible system configuration, evolving the model to enable efficient investment while demonstrating high processing performance. The new model also offers the option of a liquid-cooled server *1 with excellent cooling efficiency , contributing to the realization of green data centers with maximized energy efficiency. In addition, the addition of distributed file storage that can be used widely from entry to enterprise, makes it possible to start small and gradually expand according to the model size. In addition, “Hitachi iQ” is also available as an As a Service, reducing initial investment and allowing customers to select resources to match rapid changes in AI demand.
“Hitachi iQ” utilizes the NVIDIA AI Data Platform, a new reference design developed to drive the era of enterprise AI agents . Going forward, Hitachi will continue to deepen collaboration with partner companies to provide AI solutions that can flexibly accommodate a variety of model scales and usage patterns, accelerating the creation of new value from data and contributing to strengthening corporate competitiveness.
Also Read: Fusic and Upstage Agree to Strategic Partnership in the Field of Generative AI
Companies are making progress in using generative AI, and its application has expanded to various phases, from small starts at the time of introduction to full-scale operation. Therefore, the key to supporting business growth is to select a flexible environment that can collect the data required at any time from on-premise or the cloud, and that can also expand data processing capacity. In addition, the use of generative AI increases electricity consumption due to the operation of a large number of high-performance processors, and the impact on the environment due to the expansion of demand is also a major issue, and there is a demand for green data centers that aim to reduce the environmental burden.
SOURCE: Hitachi