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HPE and VAST Data Join Forces to Launch HPE GreenLake for File Storage

The News: Hewlett Packard Enterprise (HPE) partners with VAST Data to debut HPE GreenLake for File Storage. HPE GreenLake for Storage is built on VAST Data software and the HPE Alletra Storage MP modular hardware platform. Read the HPE Solution Brief here.

HPE and VAST Data Join Forces to Launch HPE GreenLake for File Storage

Analyst Take: The launch of HPE GreenLake for File Storage represents a major move for both HPE and the overall data storage market. The new file storage data services are developed to deliver scale-out, enterprise-grade performance for data-intensive workloads. To swiftly crystallize the value proposition of HPE GreenLake for File Storage, HPE is providing a disaggregated, shared-everything, resilient-focused, modular architecture that’s built for exabyte scale. The storage architecture is designed to avoid tradeoffs, streamline storage processes, deliver performance at scale, as well as minimize and ultimately eliminate hardware-bound data silos.

HPE is partnering with VAST Data to leverage VAST’s Disaggregated, Shared-Everything (DASE) architecture, which disaggregates the storage media from the CPUs that manage media and provide storage services. The disaggregated storage, including all the system metadata, is shared by all the VAST servers in the cluster. DASE is developed to allow users to scale the capacity of a VAST Cluster independently from the compute resources of the cluster, adding enclosures for capacity and servers for performance.

As a result, I anticipate that the new HPE data service can prove integral in running enterprise unstructured data workloads efficiently from one control plane. This encompasses comprehensive data analysis of enterprise and AI applications by consolidating infrastructure to accelerate training and inference time.

Moreover, the offering reduces and removes east-west cluster traffic so that every node can add a proportionately linear amount of performance to the cluster, enabling the scaling of concurrent users, client nodes, and performance across the entire solution. Also, customers gain the benefits of multiprotocol Network File System (NFS) and Server Message Block (SMB) access to the same data, scaling performance and capacity independently according to customer requirements.

I anticipate that the incorporation of VAST Data’s proven scale-out architecture can fulfill rapidly expanding enterprise demand to efficiently administer unstructured data, in direct accord with attaining high performance at scale, which can definitively accelerate time to data insights. For example, optimized unstructured data storage is becoming increasingly critical to improving business outcomes across key verticals such as entertainment, financial services, life sciences, and media.

From my view, key advantages include turbocharging data-intensive applications with a read performance that is 80x faster than network attached storage implementations and a read throughput that is 100s of GB/sec backed by the HPE GreenLake six 9s data availability assurance. HPE GreenLake for Storage offers streamlined file data management with automatic discovery, onboarding, and configurations of new devices for simpler file share creation.

Of key importance, HPE GreenLake for File Storage prioritizes delivering high return on investment (ROI) from capital investments. Now key decision makers such as data scientists and line of business application owners can improve their productivity through simple setup and fast job completion capabilities. As a result, enterprise storage domains can allow workforce specialists to focus on strategic initiatives and bolstering business performance by liberating them from using task-intensive, unwieldy legacy file systems which required technical expertise and complex setup processes to operate.

Key Takeaways: HPE Enlists VAST Data to Launch HPE GreenLake for File Storage

Overall, I believe HPE GreenLake for File Storage, fueled by VAST Data DASE architecture capabilities, can provide the intuitive cloud experience vital to simplifying file data management for enterprise IT. By streamlining deployment, easing file share creation, and unifying storage management through a single cloud console, HPE is poised to assure the self-service cloud experience can be accessible from anywhere, on any device, and unhampers enterprise IT workforces from time-consuming complex tasks and focus on delivering strategic business value.

Disclosure: Futurum Research is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.

Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of Futurum Research as a whole.

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HPE Revenue Hits $7.8B in Q1 2023, Beating Analyst Estimates

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Author Information

Ron is an experienced, customer-focused research expert and analyst, with over 20 years of experience in the digital and IT transformation markets, working with businesses to drive consistent revenue and sales growth.

He is a recognized authority at tracking the evolution of and identifying the key disruptive trends within the service enablement ecosystem, including a wide range of topics across software and services, infrastructure, 5G communications, Internet of Things (IoT), Artificial Intelligence (AI), analytics, security, cloud computing, revenue management, and regulatory issues.

Prior to his work with The Futurum Group, Ron worked with GlobalData Technology creating syndicated and custom research across a wide variety of technical fields. His work with Current Analysis focused on the broadband and service provider infrastructure markets.

Ron holds a Master of Arts in Public Policy from University of Nevada — Las Vegas and a Bachelor of Arts in political science/government from William and Mary.

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