Compare the Top Cluster Management Software that integrates with Slurm as of July 2025

This a list of Cluster Management software that integrates with Slurm. Use the filters on the left to add additional filters for products that have integrations with Slurm. View the products that work with Slurm in the table below.

What is Cluster Management Software for Slurm?

Cluster management software is specialized software designed to manage and orchestrate groups of interconnected computers, known as clusters, that work together to perform complex tasks. It provides a centralized interface for deploying, monitoring, scaling, and maintaining applications and workloads across multiple nodes. The software ensures resource allocation, load balancing, and fault tolerance to maximize efficiency and reliability. It is commonly used in high-performance computing, data centers, and cloud environments to streamline operations and optimize infrastructure usage. By automating tasks and providing real-time insights, cluster management software enhances operational efficiency and simplifies the complexities of managing distributed systems. Compare and read user reviews of the best Cluster Management software for Slurm currently available using the table below. This list is updated regularly.

  • 1
    TrinityX

    TrinityX

    Cluster Vision

    TrinityX is an open source cluster management system developed by ClusterVision, designed to provide 24/7 oversight for High-Performance Computing (HPC) and Artificial Intelligence (AI) environments. It offers a dependable, SLA-compliant support system, allowing users to focus entirely on their research while managing complex technologies such as Linux, SLURM, CUDA, InfiniBand, Lustre, and Open OnDemand. TrinityX streamlines cluster deployment through an intuitive interface, guiding users step-by-step to configure clusters for diverse uses like container orchestration, traditional HPC, and InfiniBand/RDMA architectures. Leveraging the BitTorrent protocol, enables rapid deployment of AI/HPC nodes, accommodating setups in minutes. The platform provides a comprehensive dashboard offering real-time insights into cluster metrics, resource utilization, and workload distribution, facilitating the identification of bottlenecks and optimization of resource allocation.
    Starting Price: Free
  • 2
    AWS ParallelCluster
    AWS ParallelCluster is an open-source cluster management tool that simplifies the deployment and management of High-Performance Computing (HPC) clusters on AWS. It automates the setup of required resources, including compute nodes, a shared filesystem, and a job scheduler, supporting multiple instance types and job submission queues. Users can interact with ParallelCluster through a graphical user interface, command-line interface, or API, enabling flexible cluster configuration and management. The tool integrates with job schedulers like AWS Batch and Slurm, facilitating seamless migration of existing HPC workloads to the cloud with minimal modifications. AWS ParallelCluster is available at no additional charge; users only pay for the AWS resources consumed by their applications. With AWS ParallelCluster, you can use a simple text file to model, provision, and dynamically scale the resources needed for your applications in an automated and secure manner.
  • 3
    ClusterVisor

    ClusterVisor

    Advanced Clustering

    ClusterVisor is an HPC cluster management system that provides comprehensive tools for deploying, provisioning, managing, monitoring, and maintaining high-performance computing clusters throughout their lifecycle. It offers flexible installation options, including deployment via an appliance, which decouples cluster management from the head node, enhancing system resilience. The platform includes LogVisor AI, an integrated log file analysis tool that utilizes AI to classify logs by severity, enabling the creation of actionable alerts. ClusterVisor facilitates node configuration and management with a suite of tools, supports user and group account management, and features customizable dashboards for visualizing cluster-wide information and comparing multiple nodes or devices. It provides disaster recovery capabilities by storing system images for node reinstallation, offers an intuitive web-based rack diagramming tool, and enables comprehensive statistics and monitoring.
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