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Finance your purchase through HPEFS
Click on 'Get Quote' to receive a quotation that includes financing provided by HPEFS.
OR, call HPEFS at +353-1-4118902
Estimated monthly payment based on 36 month fair market lease.
Financing available through Hewlett-Packard International Bank plc (HPIB), Liffey Park Technology Campus, Barnhall, Leixlip, Co. Kildare, Ireland. Co. No. 289479 or other subsidiaries of HPE Financial Services ("HPEFS") to qualified customers and is subject to credit approval and execution of standard HPIB/HPEFS documentation. Rates, which are fixed, and terms are based on customer's credit rating, offering types, services and/or equipment type and options. Not all customers may qualify, consumers specifically excluded. Not all services or offers are available in all countries. Other restrictions may apply. Warning: You may have to pay charges if you repay early, in full or in part, a fixed-rate credit facility. Warning: You may have to pay charges if you repay early, in full or in part, a fixed-rate credit facility.
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Easily scale without disruption using the NVMe All Flash expansion shelves to grow system capacity
Eliminate complexity by unifying infrastructure management silos under a cloud managed single pane of glass - accessible from anywhere and from any device
Developed from the foundation of HPE Nimble Storage architecture, proven to deliver speed, efficiency, and resiliency with cloud agility
Delivers up to 3X faster performance than previous HPE Nimble Storage All Flash Arrays3
Designed for high availability requirements with 6x9s availability guaranteed as a standard benefit without requiring a special contract
HPE Store More Guarantee delivers more effective capacity per terabyte of raw flash than competitive all-flash arrays2
AI-driven
Predict and prevent disruptions across storage, services, and virtual machines (VMs), resulting in savings of over 1.5 million hours of lost productivity due to downtime.
Redefine support experience with predictive support automation that delivers an unprecedented support experience with automated L1 and L2 and direct access to the resources you need.
Pinpoint issues between storage and VMs and underutilized virtual resources without effort.
Take the guesswork out of managing data infrastructure with AI-driven recommendations that improves performance, drives higher availability, and optimizes resource utilization and planning.
Built for Cloud
Setup in minutes because systems are automatically discovered, on-boarded, and configured.
Say goodbye to time-consuming, LUN-centric provisioning with AI-driven, intent-based provisioning of application workloads on infrastructure best suited for optimizing SLAs.
Experience faster access to innovation with no disruptions because new features and enhancements are instantly available through self-service upgrades.
Manage from anywhere with simple global management driven through a SaaS-based user experience.
As-a-Service
Consume data infrastructure as a service via HPE GreenLake, eliminating up front capital costs with a pay-per-use model.
Shift from owning and maintaining data infrastructure to simple accessing and utilizing it on-demand.
Free up your cash flow and increase financial agility with the right mix of subscription and consumption-based services.
Microsoft and Windows Server are either registered trademarks or trademarks of Microsoft Corporation in the United States and/or other countries. Oracle is a registered trademark of Oracle and/or its affiliates. Red Hat is a registered trademark of Red Hat, Inc. in the United States and other countries. Citrix is a registered trademark of Citrix Systems, Inc. and/or one more of its subsidiaries and may be registered in the United States Patent and Trademark Office and in other countries. Linux is the registered trademark of Linus Torvalds in the U.S. and other countries. VMware and VMware ESXi are registered trademarks or trademarks of VMware, Inc. in the United States and/or other jurisdictions. All other third-party trademark(s) is/are property of their respective owner(s).
