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Quantum StorNext 7 Software With File System Pools Feature to Automate Data Placement on NVMe and HDD Storage

Optimizes NVMe for high-throughput low-latency workloads, with simplified user experience.

Quantum Corp. announced the last version of its parallel file system, StorNext 7, introducing the ‘File System Pools’ feature to automate data placement on NVMe and HDD storage for high-throughput, low-latency workloads.

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Quantum Stornext Fs Table Min

In addition, this version is easier to use, with a redesigned and intuitive user interface. The V7 File System is an addition to the company’s portfolio of offerings to classify, manage and protect unstructured data across its lifecycle, and is another step in the firm’s strategy to be a provider of data and storage management services for video and unstructured data, especially video workflows.

Optimize use of NVMe with StorNext File System Pools
Organizations that need to ingest and process video, digital images, and other large unstructured data sets are increasingly turning to NVMe storage because of its performance advantages over traditional SSD and HDD storage. By implementing NVMe in a StorNext file system environment, it accelerates throughput for streaming workloads, for fast ingest of large data sets and improved processing, editing, and analysis of video and other forms of unstructured data. NVMe is also enabling customers to gain back valuable data center space by replacing racks of HDD storage with compact NVMe storage servers.

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Quantum Stornext Diagram Min

Available in StorNext 7 software, File System Pools enable administrators to define pools of NVMe, SSD, and HDD within their file system and create policies to move files and folders between those pools automatically. As a result, files move seamlessly between pools for performance at a lower cost.

StorNext Clients Connectivity
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Quantum Stornext Clients Connectivity Editted Min2

Building on data management capabilities
The company continues a pace of development with StorNext. In May the firm introduced StorNext 6.4, with enhancements including self-describing objects to make cloud content more accessible, and improved retrieval speed from large object stores. The File System Pools feature builds on these capabilities for more efficient data management.

Easier to configure and manage
StorNext 7 offers expanded web services APIs that provide new ways to query metadata: automate data movement, configure and manage the file system. A new user interface makes the StorNext File System easier to navigate and manage.

Simplified, capacity-based licensing model
StorNext 7 is available via a simplified, capacity-based licensing model that better aligns software services with customer value.

StorNext 7 is available for quoting and will be available by mid-December.

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Quantum Stornext Scale Out Storage Spectabl

As StorNext continues to evolve it grows as a more potent solution for a wider range of use cases, such as high speed data ingest and streaming, data analytics, and AI,” noted Steve Strong, partner, CineSys, Inc. “StorNext 7 helps customers contain costs by more efficiently managing storage resources.”

Data is growing at an unprecedented annual rate, driving the cost of storage up,” said Randy Kerns, senior strategist, Evaluator Group. “New services are continually being developed which depend on insights gained from large sets of data, while IoT and edge data capture are presenting new challenges around real time data analytics. Quantum’s refinement of its StorNext software solution is aimed at addressing the challenges this environment presents.

A policy-based approach to managing and accessing data throughout its lifecycle is the first step toward monetizing it,” said Ed Fiore, GM, primary storage, Quantum. “By optimizing StorNext 7 for NVMe workloads, customers can apply this power to workflows where performance can directly affect the value of the data.

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