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HPE, together with Qumulo, effectively addresses your growing unstructured data needs – scale and manage billions of files with instant control at lower cost and high performance, on-prem, off-prem, or spanning both – now and into the future. The HPE Solutions for Qumulo file data platform technology allows you to symmetrically grow capacity and performance, reaching petabyte scale, on purpose-built HPE Apollo Gen10 and HPE ProLiant Gen10 Plus platforms. With Qumulo and HPE’s carefully selected configurations optimized for price, performance, and capacity requirements, you can create, transform, and deliver your unstructured file data at massive scale and unmatched performance and ease.
Every day, your organization faces challenges. Why should file storage be one of them?
HPE StoreEasy 1000 Storage with the HPE StoreEasy Management Console provides easy-to-manage centralized network attached storage for securely storing documents, images, audio, and video files. HPE StoreEasy 1000 Storage offers flexible, efficient, and reliable file storage, right-sized for your organization’s needs and budget, without compromising on quality or capabilities. It is available in a diverse range of form factors, capacities, and performance options, and can help you get more out of your investment while you protect your indispensable digital assets in an evolving threat landscape. With that in mind, the HPE StoreEasy Management Console provides a simplified management experience developed by HPE that consolidates multiple interfaces, automates storage tasks, and centralizes monitoring. Now you can spend less time on your file storage and more time on your business.
Want to get more out of your array or SAN investment? Do you have unallocated capacity you want to use for file shares or services? With HPE Storage File Controllers enabling efficient and highly available file shares using your HPE 3PAR, HPE Nimble, or MSA array capacity, you can get a greater return on your storage investment by enabling more use cases and supporting thousands of concurrent clients. HPE Storage File Controllers are flexible, cluster-ready gateways for enabling file services in SAN environments, and are ideal for diverse user-generated file and application data where scalability and tight Microsoft ecosystem integration are key. Through independently scalable file gateways with up to 8 nodes per cluster and flexible configuration options, the HPE Storage File Controllers offer enterprise-grade capabilities like transparent failovers, cross-protocol support, and non-disruptive maintenance, you can provide users and applications with a robust solution for file serving.
Does your organization need an on-premises cloud storage solution for modern data-intensive applications? HPE Solutions for Scality provide object storage for scalable unstructured data archives and tiers behind primary storage arrays. Now, cloud-native applications and high-performance analytics tools are increasingly using object and the S3 API as their persistent storage layer. To meet this need, Hewlett Packard Enterprise and Scality® offer two solutions that scale easily from terabytes to petabytes on a full portfolio of customizable platforms and media types.
For Enterprise IT:
Scality RING enable enterprises to quickly build on-premises object storage in scalable clusters, with native S3 API and file access protocols.
For Application Developers:
Scality ARTESCA is a fully-containerized object storage solution with built-in multi-cloud federated data management for S3-centric data workloads and ultra-reliable dual-level erasure coding.
Are you frustrated with the architectural and economical limitations of your current high-performance file storage?
HPE Parallel File System Storage is cost-effective, parallel storage for your high-performance simulation, AI, and data analytics environments running on HPE Apollo systems.
HPE Parallel File System Storage provides multiples of performance and namespace scalability, as compared to standard scale-out NAS storage, to increase the utilization of your compute nodes by removing I/O bottlenecks while enabling cost savings through storage island consolidation in a unified, high-performance namespace.