HPE 3PAR StoreServ Storage
Tier 1 all-flash data storage array that can scale from midsize to the largest enterprises and service providers, for instant application provisioning and high levels of service – at a fraction of the cost.
Designed to Accelerate Business and Simplify IT
HPE 3PAR StoreServ was built to meet the extreme requirements of massively consolidated cloud service providers. Its remarkable speed—3M+ IOPS—and proven system architecture has been extended to transform mainstream midrange and enterprise deployments, with solutions from a few TBs up to more than 20PB scale.
The HPE 3PAR StoreServ family of flash-optimised data storage systems modernises your data centre to instantly handle unpredictable workloads with 99.9999% data availability. Get rapid and automated provisioning, multi-tenant design, hardware-accelerated deduplication and compression, and sub-1ms latency – all within a single tier-1 storage architecture that starts small and scales big.
Invest with Confidence
With our guarantee programmes, you’ll get the value you expect from your HPE 3PAR StoreServ Storage system.
Why HPE 3PAR StoreServ is #1
HPE 3PAR StoreServ is the industry’s #13 midrange fibre channel storage array and a leading all-flash array. It’s helped thousands of customers eliminate complex storage silos and modernise their storage infrastructure.
From midrange to enterprise to all-flash across unified file and block workloads, you can start with a few terabytes in a single system and scale to over eighty petabytes in a four-system federation with a common OS, feature set and management.
Learn all about HPE 3PAR storage system advantages. Watch the Around the Storage Block ChalkTalk with Calvin Zito.
Check out this guide for tech-savvy IT professionals and discover a list of the key capabilities you will need as you explore the world of flash. Plus, learn how you can make the move at cloud economics.
SOCAN replaced a highly virtualised, tiered legacy storage environment with all-flash storage arrays for processing mission-critical applications and heavy workloads.
Flexible Data Storage Solutions
Choose from powerful storage options for multi-tiered flash, hybrid and disk architecture to deliver value, performance and scale.
- HPE 3PAR StoreServ 8000 Storage System. Opens New Window: /tw/en/product-catalog/storage/disk-storage/pip.hpe-3par-storeserv-8000-storage.8737813.html
- HPE 3PAR StoreServ 20000 Storage System. Opens New Window: /tw/en/product-catalog/storage/disk-storage/pip.hpe-3par-storeserv-20000-storage.8295785.html
HPE 3PAR StoreServ Technical Overview
HPE 3PAR StoreServ 8000
- Entry Level Flash/Hybrid
- Max Controller Nodes: 4
- Max Host Ports: 24
- Fibre Channel: 4–24
- Max Raw Capacity: 1000-4000 TiB
HPE 3PAR StoreServ 20000
- Flash/Hybrid for Massive Consolidation
- Max Controller Nodes: 8
- Max Host Ports: 160
- Fibre Channel: 0–160
- Max Raw Capacity: 8,043–9,600 TiB
HPE 3PAR StoreServ Software
All-flash array software to handle unpredictable workloads, application availability, secure consolidation and more.
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HPE 3PAR File Services
You’re looking at flash storage because you see it’s taking the storage world by storm. This guide helps you get ahead of your company’s data needs.
Around the Storage Block Blogs: HPE Storage Emerging a Leader
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HPE 3PAR Integrated Protection
More energy efficient, more compact and more predictable than spinning drives, the data centre of the future runs on flash.
Toyota boosts performance and reliability with HPE 3PAR StoreServ Storage, while reducing power consumption and maintenance costs.
HPE 3PAR StoreServ Storage powered by Intel® Xeon® processor
Intel, the Intel logo, Xeon, and Xeon Inside are trademarks or registered trademarks of Intel Corporation in the U.S. and/or other countries.
Based on Nov 2013 analysis by HPE comparing provisioning time of 4 LUNs to a cluster of VMware ESX hosts and creating a consistency group snapshot of the 4 LUNs using similar steps and host configuration for HPE 3PAR StoreServ 7400 vs. EMC VNX 5700.
As compared to not using data compaction technologies. Based on a 4:1 data compaction ratio.