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New offerings include QLC flash storage and object storage for AI and analytics workloads
Hitachi Vantara, the data storage, infrastructure, and hybrid cloud management subsidiary of Hitachi, Ltd., announced the launch of new solutions available through its Virtual Storage Platform One data platform. Designed for AI and analytics workloads, the new suite includes a quad-level cell (QLC) flash storage array with public cloud replication and an object storage appliance. Together, these solutions are designed to help organizations better optimize data management by helping to reduce costs, improve scalability, and support sustainability efforts. QLC flash storage offers higher density and lower power consumption compared with some traditional storage solutions, helping organizations to lower their energy use while scaling capacity. The object storage appliance is designed to accommodate larger volumes of unstructured data, such as video and image files, which are critical for AI-driven applications. By incorporating metadata to help ease categorization and searchability, the appliance helps to simplify data lifecycle management and organizations to retrieve data faster and more efficiently.
Key Features of the New Virtual Storage Platform One Solutions
Virtual Storage Platform One Block: The all-QLC flash storage array with public cloud replication provides a higher-density, more cost-effective storage solution suited for large-scale capacity needs. QLC flash storage offers higher density and lower power consumption compared to some traditional storage solutions, helping organizations to reduce energy use. Integrated public cloud replication helps to provide more seamless backup and disaster recovery and enhance data availability.
Virtual Storage Platform One Object: The object storage appliance is designed to scale more easily and manage large volumes of unstructured data, such as video, images, and large datasets, which are critical for AI use cases. Each object is stored with metadata, which helps to provide easier categorization, searchability, and data lifecycle management. Multi-node configurations help to increase durability and reliability, allowing organizations to more quickly find and retrieve data while helping to optimize costs, reduce rack space, power consumption, and CO2 emissions.
These solutions are tailored to help address the complexities of hybrid and multi-cloud environments, and enterprises to manage growing data volumes more efficiently and support sustainability goals.
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