![]() ![]() Performance also improves by coalescing random writes into a small number of The folding process naturally helpsĮliminate fragmentation, vastly reducing wear on flash and delivers superior Or folds them into large, storage-optimized chunks, which are then sequentially Variably sized blocks resulting from deduplication and compression, and packs Random write performance and enhanced flash endurance. Inline compression that helps eliminate the need to clump blocks together,Īvoiding the costly read-modify-write penalty on random updates incurred by competitiveĪchieves three goals: increased space efficiency to store more data, improved HPE’s variable block size technique enables high-performance Always-on, inline, adaptiveĪdaptive compression techniques automatically and dynamically switch betweenĬompression algorithms to deliver a reduced flash footprint and superior How HPE Nimble Storage All-Flash arrays can simplify your storage and workloadĮnvironment while reducing the cost and footprint of flash by speaking with HPE Nimble Storage data reduction technologies in your environment? Find out The same, or less raw capacity than any competitive offering. Going to be different, but with HPE you are guaranteed to store more data in Ratio to focus on actual data consumption and capacity. Processing deduplication before any other data reduction techniques areĪpplied, and before data is written to flash, HPE delivers better dataĮfficiency and performance, and avoids high volumes of unnecessary writes,Īll the different data reduction ratios offered by every storage vendor out thereĬan be difficult, because no two are alike. Patch updates to a large number of VM images. When running workloads that generate lots of duplicate blocks, such as parallel This critical ability is the reason you don’t run out of space Such as data copies, virtual machine (VM) moves or bulk data ingest do not shutĭown dedupe. Removes the duplicates as the data arrives. Memory, which means you spend less money on expensive flash. As a result, they manage more physical capacity with less Memory in the array to manage and reduce the amount of data stored in a given HPE Nimble Storage dedupe algorithms require far less On the HPE Nimble Storage array is highly efficient while maintaining high 5 ways HPE Nimble Storage delivers advancedĭata reduction 1. Delivering complete data reduction with the HPE NimbleOS low-overhead operating system, flash performance is available and affordable for every workload. In addition, running data reduction inline provides predictable savings as data is loaded into your system and prevents running out of space due to deferred processing. This not only increases the endurance of flashīut also achieves consistent performance by not requiring resource-intensive, Mixed-workload environments, HPE Nimble Storage data reduction operations areĪlways-on for simplicity and ease of use, and run inline for peak efficiency Reduce the high cost and footprint of flash. ![]() Of flash and delivers a radically simple user experience for the enterprise.ĭeep integration and optimization of advanced data efficiency technologiesĪutomatically work to provide a complete solution with maximum efficiency to Storage is ultraefficient flash storage that dramatically changes the economics On your workloads and HPE Nimble Storage data efficiency technologies. This up with a guaranteed data compaction ratio for HPE Nimble Storage, based Get more for less with better overall efficiency. You’ll be able to store more data per raw terabyte with HPE and Store More Guarantee, you can be confident that you’ll get the most from yourįlash investment. It makes sense to make sure your flash storage offers superior capacity On your journey to the flash-driven data centre, Performance based on HPE Engineering performance testing.Data efficiency technologies from HPE Nimble Storage change the economics ofįlash and help you get the most out of your system’s flash capacity while This enables the arrays to provide always-on data reduction without affecting the storage performance that is delivered.ĥ Based on HPE Engineering performance tests versus the previous generation of HPE Nimble Storage Adaptive Flash arraysĦ Based on a comparison of performance and pricing against previous generation of HPE Nimble Storage Adaptive Flash arrays. Efficiency comparisons based on a combination of technologies including write serialization, dynamic flash caching of reads, and the useĤ The HPE Nimble Storage Operating System (NOS) is built to improve the use of system resources including the CPU and memory. ![]() See also ģ Response times based on actual customer data collected by the HPE Nimble Storage Supportof 3D NAND flash. 2 Based on actual customer data collected by the HPE Nimble Storage Support organization. ![]()
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