AWS ParallelCluster

AWS ParallelCluster

AWS ParallelCluster is an open-source tool that streamlines the deployment and management of High Performance Computing (HPC) clusters on AWS. It automates resource setup, including compute nodes and job schedulers, and offers flexible configurations through a GUI or text files. Supporting various operating systems and job schedulers, it simplifies migrating HPC workloads to the cloud while ensuring secure, repeatable infrastructure management. Available at no extra cost, users only pay for the AWS resources utilized.

Top AWS ParallelCluster Alternatives

1

Windows Admin Center

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2

IBM Tivoli System Automation

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3

Azure Kubernetes Fleet Manager

Azure Kubernetes Fleet Manager enables efficient management of Kubernetes clusters at scale, allowing users to navigate complex multicluster scenarios.

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4

Red Hat Advanced Cluster Management

Red Hat Advanced Cluster Management for Kubernetes enables centralized control over clusters and applications, enhancing productivity and compliance.

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5

Qlustar

Qlustar is a powerful, open-source cluster management software designed for HPC, AI, and storage environments.

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6

NVIDIA Base Command Manager

NVIDIA Base Command Manager is a cutting-edge cluster management software designed for AI and high-performance computing environments.

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7

Pipeshift

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8

Bright Cluster Manager

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OpenHPC

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OKD

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Sync

Leveraging advanced MIT-developed algorithms, it automates the tuning of cloud-based workloads on CPUs and GPUs...

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12

Rocks

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ClusterVisor

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14

Tungsten Clustering

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15

xCAT

It seamlessly integrates with various management protocols, supports multiple operating systems, and allows for remote...

Top AWS ParallelCluster Features

  • Open source cluster management
  • Simple graphical user interface
  • Text file resource modeling
  • Automated resource provisioning
  • Safe and repeatable infrastructure
  • Supports multiple instance types
  • Job scheduler integration
  • Seamless workload migration
  • Minimal modifications required
  • Dynamic resource scaling
  • Custom HPC cluster management
  • Flexible cluster configuration options
  • AWS resource cost efficiency
  • Multiple operating system support
  • Command-line interface accessibility
  • API integration capabilities
  • Event-driven scaling support
  • Automated setup of shared filesystem
  • User-friendly job submission
  • GitHub-hosted source code.