Posted On: Jan 7, 2019

Amazon ParallelCluster is a fully supported and maintained open source cluster management tool that makes it easy for scientists, researchers, and IT administrators to deploy and manage High Performance Computing (HPC) clusters in the Amazon Web Services cloud. HPC clusters are collections of tightly coupled compute, storage, and networking resources that enable customers to run large scale scientific and engineering workloads. Built as an enhancement to and replacement for the popular open source CfnCluster project, Amazon ParallelCluster enables customers to quickly build an HPC cluster on Amazon Web Services. It automatically sets up the required compute resources and shared file systems and offers a variety of batch scheduler options, including Sun Grid Engine (SGE), Torque, and Slurm.

Amazon ParallelCluster reduces the operational overhead of cluster management and simplifies running HPC workloads on Amazon Web Services. Amazon ParallelCluster facilitates both quick-start proof of concepts (POCs) and production deployments. Amazon ParallelCluster is available at no additional charge, and you pay only for the Amazon Web Services resources needed to run your applications. Amazon ParallelCluster is released via the Python Package Index (PyPI). Amazon ParallelCluster’s source code is hosted under the Amazon Web Services repository on GitHub at

Amazon ParallelCluster is now available in Amazon Web Services China (Beijing) Region, operated by Sinnet and Amazon Web Services China (Ningxia)Region, operated by NWCD.