WHY HPE PERSISTENT MEMORY

HPE Persistent Memory provides fast, high-capacity, cost-effective memory and storage to transform big data workloads and analytics possibilities—enabling data to be stored, moved, and processed at unprecedented speed, improving TCO.

HPE Persistent Memory, available in 128, 256, and 512 GB modules, features Intel® Optane™ persistent memory to approach the speed of traditional DRAM with the persistence of storage, enabling high capacity, high performance, and ongoing data safety—even in the event of an interruption in power due to an unexpected power loss, system crash, or normal system shutdown. HPE Persistent Memory modules are optimized for second-generation Intel® Xeon™ Scalable processors.

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Reference architecture for Microsoft SQL Server 2019

HPE delivers tested configurations using Microsoft SQL Server 2019 Standard Edition on HPE ProLiant Gen10 servers with HPE Persistent Memory for businesses that require fast access to data to put it to work quickly for better business outcomes. 

Cost-effective virtualized OLTP SQL Server performance

HPE Persistent Memory on virtualized OLTP databases scaled to 66% more VMs and databases and provided 63% more performance on HPE ProLiant DL380 Gen10 servers.

Reduce Oracle Database In-Memory Analytics Solution cost with DRAM-like performance

HPE’s high-performance, lower-cost solution using HPE Persistent Memory with Memory Mode for an Oracle Database 18c In-Memory OLAP workload  provided 96% off the performanceat less cost.

Get major performance/price advantage and scalability on GraphX workload

Explore the proof points that a high-performance HPE solution for using HPE Persistent Memory for GraphX workloads has the best outcome.

Achieve up to 8.4x improved performance and 3.1x better performance/price

HPE Persistent Memory delivers resilient technology, scalable efficiency, and breakthrough performance as evidenced in these Big Data Analytics performance benchmarks.

HPE Persistent Memory performance white paper

This paper describes the methods used to simulate different workloads and ;earn how various workloads can benefit from this new technology.


 

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