HPE Apollo : The high density server family for Big Data, HPC and Object storage

For very heavy workloads like big data analytics, high performance computing and object storage, massive scale up and scale out compute solutions are required.  They have to provide highest levels of performance and efficiency and yet be modular and scalable as required.  Hewlett Packard Enterprise Apollo family is designed to provide these solutions with excellent business benefits.

The various models in the Apollo family can be used in following various areas.

Traditional supercomputers are limited by huge requirements of power and cooling and semiconductor scaling.  With innovative cooling solutions like water cooling which is 1000x times efficient than air, and providing blade like serviceability , Apollo 8000 system reaches new heights of performance.

In the new world, to be competitive, organisations are looking to mine the growing collection of big data to unlock the insights that will allow them to streamline their operations and reduce costs. Apollo 4000 is purpose-built to service the technologies that are driving the Big Data IT revolution—Hadoop and other Big Data analytics solutions and object storage systems.

High performance computing is required to speed up research and get to market faster.  Traditional designs are limited by space and resource restrictions. The HP Apollo 6000 System delivers industry-leading performance in less space with the flexibility to tailor the system to precisely meet workload requirements.

The Apollo 2000 System provides a bridge to scale-out architecture for traditional data centres so you can achieve the space and cost savings of density-optimized infrastructure in a non-disruptive manner.

Together with HP Financial services to take care of financing the project and HP Technology services to execute the solution, HPE Apollo family can take care of massive, specialised computing needs of any organisation.

For more information,  please visit https://www.hpe.com/us/en/servers/apollo.html