HPE Apollo 4000 Systems

HPE Apollo 4000 Systems are purpose-built for large-scale deployments of software-defined object and clustered storage, analytics, or active archives.

Be a data-driven organisation

HPE Apollo 4000 Systems provide solutions that enable the harnessing of big data at businesses ranging from small-to-midsized to enterprise. Overcome data centre challenges with optimised platforms to help unlock market-altering insights and store data efficiently.

Purpose-built for big data and HPC storage

HPE Apollo 4000 servers let you run object storage, clustered storage, and Hadoop analytics on systems built especially for the enormous volumes of big data. You can deploy these solutions at a cost and scale that’s right for you.

Meet the Apollo 4000 portfolio

Density-optimised solutions for storage service workloads

HPE Apollo 4200 Server

This versatile, density-optimised 2U server with unique two row design is built to handle a variety of workloads such as general-purpose software-defined storage, file and object storage, and Hadoop analytics.
HPE Apollo 4510 System

With cost-effective compute power, flexible performance and I/O options, this petabyte-scale system, optimised for object storage and active archive, offers 60 LFF drives in a dense 4U form factor with NVMe support – all in a standard depth rack.
HPE Apollo 4520 System

Easily configure HPC clustered storage to your performance, I/O, and capacity needs. This system utilises internal cabling for failover, clustering its dual-servers, and eliminating setup complexity to help store and analyse critical data at scale.
HPE Apollo 4530 System

This three-server, 4U system offers a high-performance processor, memory options, and disk controllers for faster insights of big data analytics, easily housing three copies of data in a single system. It holds 45 LFF drives and up to 360TB total.

Technical Overview

Form Factor

2 rack units (4200)

4 rack units (4500)
Storage

Support for SAS, SATA, NVMe, and SSDs

Up to 28 LFF or 54 SFF drives (4200)

Up to 60 LFF drives (4500)
CPU

Up to 2 Intel® Xeon® Processors
Memory

Up to 1024 GB (16 DIMMs)

The real world impact of HPE Apollo 4000

Learn how HPE customers leverage the capabilities of Apollo 4000 servers to achieve their business goals.

An IaaS innovator transforms analytics with HPE

Bigstep and its Full Metal Cloud, built on Apollo servers, transform the world of big data analytics by delivering the world’s highest performance cloud, with hardware-isolated security and industry-leading efficiency.

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A service provider gains competitive advantage

myLoc managed IT AG uses HPE Apollo 4000 servers to double customers per server and cut data centre cooling and footprint by 50%.

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Optimising storage at petabyte scale with HPE

Tennessee Data Systems runs Scality RING on HPE Apollo servers to deliver optimised software-defined storage at petabyte scale – without worrying about capital or refresh cycles.

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Apollo systems in action

HPE file and object storage solutions

Drive value to your organisation and effectively address unstructured data storage requirements with Apollo-based file and object storage solutions spanning your needs from affordable NAS to durable petabyte-scale storage.

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Storage for High Performance Computing

Providing the necessary high speed concurrent access to data, HPE offers a comprehensive portfolio of dedicated storage products that enable the full power of HPC by supporting clustered computing and distributed parallel computing.

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Big data analytics and Hadoop solutions

Accelerate business insights and gain a competitive advantage – choose from multiple, modular Hadoop reference architectures to increase operational efficiencies, influence product development and quality, and securely manage big data workloads.

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Next generation sequencing solution

HPE Scalable Storage for Lustre improves data throughput performance and enhances system scalability to respond to ever growing and varying sample demands while providing a cost-effective storage solution to meet the requirements of genomic analytics.

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