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HPE GreenLake for File Storage MP delivers enterprise performance at AI scale for the most demanding data-intensive applications using disaggregated-shared-everything (DASE) architecture. Unlock more value from all your data with faster time to insights and discovery for competitive advantage.
The architecture is designed to scale to exabytes and offers independent scaling of performance and capacity. Unlock more value from all your data with faster time to insights and discovery for competitive advantage.
With 80x faster performance[1] than legacy NAS and 100s of GB/sec of throughput and beyond for read performance[3], HPE GreenLake for File Storage MP delivers high performance for all of your file data without tiering.
It provides 99.9999% availability [2], is completely fault tolerant, provides more resiliency than direct-attached storage systems, and is capable of withstanding rack failure for superior protection at scale.
HPE GreenLake for File Storage MP provides radically simple file data management that is cloud-resident and delivers rich data services including file share vending, lifecycle management, hybrid cloud backup, and disaster recovery, all via HPE GreenLake edge-to-cloud platform.
Configured systems are automatically discovered and on-boarded in minutes. Empower data scientists and LOB application owners with increased productivity and focus on discovery and innovation rather than wasting time working with cumbersome legacy file systems.
Instantly see usage, activity, and throughput at any level of the unified directory structure no matter how many files are in the file system. Identify problem areas and hot spots to optimize resource utilization.
Leverage real-time visibility to set quotas at user and/or capacity level with configurable alerts on quota breaches in real time.
Superior, highly efficient data reduction and protection storage technologies that deliver low cost/TB for higher ROI.[4]
Optimize GPU utilization with InfiniBand, GPU-direct, and RDMA support.
Efficient scaling with flexible disaggregated shared-everything architecture that meets storage demands without overprovisioning. Efficient, flexible AI storage as a service.
Achieve high sustainability with capacity density, data center footprint, power, and cooling efficiencies for reduced carbon footprint. [6]
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