HPE GreenLake for Block Storage
Simplify data management with self-service agility for all your apps with enterprise block storage built on HPE Alletra Storage MP.
Meet any SLA and lower risk
Unlock agility and speed the pace of new apps, services, and initiatives with an intuitive cloud experience everywhere. Simplify data management and maximize infrastructure efficiency via AI-managed, self-service block storage—and run any app without compromise.
Go faster with an intuitive cloud experience everywhere
Get a unified, AI-driven cloud experience across hybrid cloud that simplifies management and shifts operations from infrastructure-centric to app-centric. Empower line of business with intelligent, self-service provisioning while managing and protecting workloads across on-prem and the public cloud from a single cloud console.
Run any app without compromise
Harness the full power of enterprise-grade storage. Meet every SLA across your hybrid cloud with mission-critical storage that delivers an unrivaled 100% data availability guarantee. Accelerate your most demanding apps with consistently fast performance and ultra-low latency—even at scale.
Better performance—with better economics
Scale performance and capacity independently and without disruption with disaggregated storage powered by HPE Alletra Storage MP. Eliminate silos and complexity by deploying block or file workloads on a single multi-protocol architecture with a common cloud experience. Consume resources your way via up-front purchase or transparent monthly subscription.
ESG Technical Validation: HPE GreenLake for Block Storage
Read ESG's analysis of how HPE GreenLake for Block Storage built on HPE Alletra Storage MP can simplify operations, deliver better price performance, and scale efficiently to keep pace with growing workloads.
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Learn more about the HPE GreenLake cloud experience
All HPE GreenLake cloud services are accessed through a unified control plane that delivers a consistent, open and extensible cloud operating experience for all your services and users, wherever the workloads and data are located.