Slurm Alternatives

JAMS is an automation orchestration and job scheduling solution that runs, monitors, and manages critical IT processes from a single console, from simple batch jobs to complex, cross-platform workflows. JAMS automates jobs across Windows, Linux, UNIX, IBM i, z/OS, and OpenVMS, with native integrations for the databases, BI tools, and ERP systems already running your business, including SQL Server and SAP. Jobs run on any schedule or trigger off other events, and dependency management keeps multi-step workflows in the right order. Every job is centrally monitored, with notifications on success or failure and an audit trail of every execution. Built-in conversion tools migrate existing jobs from Windows Task Scheduler, SQL Agent, or Cron without rebuilding them, and JAMS replaces homegrown, single-platform scripts with one centrally managed system. JAMS includes two AI capabilities at no additional cost. JAX is an AI agent built into the JAMS Web Client. Ask it a question in plain language, and it finds a job, troubleshoots a failure, or looks up how to do something, grounded in JAMS documentation, not general AI guesswork. It acts only when asked, and every change waits for your approval. JAMS MCP brings JAMS into the AI coding tools teams already use, including Cursor, Claude Code, GitHub Copilot, and Claude Desktop. Both run inside the customer's network with the signed-in user's permissions and no elevated AI account, and every action, AI-driven or not, lands in the same audit trail as everything else in JAMS. For teams managing thousands of jobs across SQL Server, ADF, Airflow, SAP, JDE, and Banner, this cuts tribal knowledge and middle-of-the-night troubleshooting. Knowledge that once lived in one person's head becomes something any team member can ask about directly. The AI lives in the product, not in the support queue. Support is staffed by humans JAMS will never outsource, based in the United States, the United Kingdom, and Australia. New tickets go to long-tenured engineers, and every JAMS customer has the CEO's cell phone number. JAMS' mission is to reduce the operational burden of critical automation, so teams spend more time on the work automation was meant to free them for.

JS7 JobScheduler is an Open Source workload automation system designed for performance, resilience and security. It provides unlimited performance for parallel execution of jobs and workflows. JS7 offers cross-platform job execution, managed file transfer, complex no-code job dependencies and a real REST API. Platforms - Cloud scheduling from Containers for Docker®, Kubernetes®, OpenShift® etc. - True multi-platform scheduling on premises for Windows®, Linux®, AIX®, Solaris®, macOS® etc. - Hybrid use for cloud and on premises User Interface - Modern, no-code GUI for inventory management, monitoring and control with web browsers - Near real-time information brings immediate visibility of status changes and log output of jobs and workflows - Multi-client capability, role based access management High Availability - Redundancy and Resilience based on asynchronous design and autonomous Agents - Clustering for all JS7 products, automatic fail-over and manual switch-over

Universal Automation Center (UAC) is a real-time IT automation platform designed to centrally manage and orchestrate tasks and processes across hybrid IT environments - from on-prem to the cloud. Universal Automation Center (UAC) is a software platform designed to automate and orchestrate your IT and business processes, securely manage file transfers, and centralize the management of disparate IT job scheduling and workload automation solutions. With our event-driven automation technology, it is now possible to achieve real-time automation across your entire hybrid IT environment. Real-time hybrid IT automation and managed file transfers (MFT) for any type of cloud, mainframe, distributed or hybrid environment. Start automating, managing and orchestrating file transfers from mainframe or disparate systems to the AWS or Azure cloud and vice versa with no ramp-up time or cost-intensive hardware investments.

ActiveBatch by Redwood makes setting up and launching automation easy with no custom scripting required. With a low-code Super REST API adapter, over 100 pre-built job steps and a user-friendly drag-and-drop workflow designer, you can integrate across any system, application and data source, on-prem, in the cloud or in hybrid environments. Maintain complete control and visibility and meet SLAs with monitoring of all automation from a single pane of glass and get custom alerts via emails or SMS. Managed Smart Queues dynamically scale resources for high-volume workloads, reducing process times while the self-service portal enables business users to run and monitor workflows independently. ActiveBatch meets security and compliance standards, with ISO 27001 and SOC 2, Type II certifications, encrypted connections and regular third-party tests, always keeping security at the forefront. Along with ongoing product advancements, get the added benefit of 24x7 support and on-site training.

RunMyJobs by Redwood is the #1 and only enterprise workload automation solution that's SAP Endorsed, achieving premium certification and the highest SAP verification for outstanding customer value. With a guaranteed 99.95% uptime and 24/7 support, you can automate end-to-end processes in complex environments reliably, on-prem or in the cloud. SAP customers can keep a clean core and ensures no process disruptions during multiphase RISE migrations with seamless integration with S/4HANA, BTP, ECC and 1,000+ pre-built SAP templates and connectors. Enjoy unparalleled freedom to connect to unlimited servers, applications, and environments, from modern SaaS solutions to legacy systems. Build automations faster with a low-code, drag-and-drop visual editor and an extensive library of templates. Monitor every process from a single pane of glass with real-time visibility. Receive early warnings and configure alerts of potential issues to address them before they impact operations.

CIQ empowers people to do amazing things by providing innovative and stable software infrastructure solutions for all computing needs. From the base operating system, through containers, orchestration, provisioning, computing, and cloud applications, CIQ works with every part of the technology stack to drive solutions for customers and communities with stable, scalable, secure production environments. CIQ is the founding support and services partner of Rocky Linux, and the creator of the next generation federated computing stack. - Rocky Linux, open, Secure Enterprise Linux - Apptainer, application Containers for High Performance Computing - Warewulf, cluster Management and Operating System Provisioning - HPC2.0, the Next Generation of High Performance Computing, a Cloud Native Federated Computing Platform - Traditional HPC, turnkey computing stack for traditional HPC

NVIDIA Run:ai is an enterprise platform designed to optimize AI workloads and orchestrate GPU resources efficiently. It dynamically allocates and manages GPU compute across hybrid, multi-cloud, and on-premises environments, maximizing utilization and scaling AI training and inference. The platform offers centralized AI infrastructure management, enabling seamless resource pooling and workload distribution. Built with an API-first approach, Run:ai integrates with major AI frameworks and machine learning tools to support flexible deployment anywhere. It also features a powerful policy engine for strategic resource governance, reducing manual intervention. With proven results like 10x GPU availability and 5x utilization, NVIDIA Run:ai accelerates AI development cycles and boosts ROI.

Velda provides development environment where developer can directly run job in the cloud/cluster, with zero extra setup. This gives developer on-demand access to compute (e.g. GPUs) needed to run machine learning training, simulation, batch jobs, or anything where HPC is desired, and with local-like experience and full customizability.

Businesses need to improve IT cost, agility, and efficiency, plus reduce risk. Hitachi Unified Compute Platform Advisor (UCP Advisor) management and orchestration software lets IT move applications and workloads between data centers, UCP systems and solutions. It also lowers risk and enables rapid delivery of new services.

IBM Spectrum LSF Suites is a workload management platform and job scheduler for distributed high-performance computing (HPC). Terraform-based automation to provision and configure resources for an IBM Spectrum LSF-based cluster on IBM Cloud is available. Increase user productivity and hardware use while reducing system management costs with our integrated solution for mission-critical HPC environments. The heterogeneous, highly scalable, and available architecture provides support for traditional high-performance computing and high-throughput workloads. It also works for big data, cognitive, GPU machine learning, and containerized workloads. With dynamic HPC cloud support, IBM Spectrum LSF Suites enables organizations to intelligently use cloud resources based on workload demand, with support for all major cloud providers. Take advantage of advanced workload management, with policy-driven scheduling, including GPU scheduling and dynamic hybrid cloud, to add capacity on demand.

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.

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.

HPE Performance Cluster Manager (HPCM) delivers an integrated system management solution for Linux®-based high performance computing (HPC) clusters. HPE Performance Cluster Manager provides complete provisioning, management, and monitoring for clusters scaling up to Exascale sized supercomputers. The software enables fast system setup from bare-metal, comprehensive hardware monitoring and management, image management, software updates, power management, and cluster health management. Additionally, it makes scaling HPC clusters easier and efficient while providing integration with a plethora of 3rd party tools for running and managing workloads. HPE Performance Cluster Manager reduces the time and resources spent administering HPC systems - lowering total cost of ownership, increasing productivity and providing a better return on hardware investments.

Powerful workload automation for centralized Linux job scheduling. When you’re able to automate all your workflows across your Windows, UNIX, Linux, and IBM i systems with a job scheduler, your IT team has more time to tackle more strategic projects that impact the bottom line. Bring isolated job schedules from cron or Windows Task Scheduler enterprise-wide. When your job scheduler integrates with your other key software applications, it’s easier to see the whole picture, leverage data across the organization, and unify your job schedules. Be more efficient so you can meet your workload automation goals. Automated job scheduling makes your life easier and transforms the way you do business. Build dynamic, event-driven job schedules across servers and take dependencies into account—supporting your business goals with better workflows. Automate Schedule offers high availability for a master server and a standby server so if an outage were to occur, important tasks would continue.

NVIDIA Base Command Manager offers fast deployment and end-to-end management for heterogeneous AI and high-performance computing clusters at the edge, in the data center, and in multi- and hybrid-cloud environments. It automates the provisioning and administration of clusters ranging in size from a couple of nodes to hundreds of thousands, supports NVIDIA GPU-accelerated and other systems, and enables orchestration with Kubernetes. The platform integrates with Kubernetes for workload orchestration and offers tools for infrastructure monitoring, workload management, and resource allocation. Base Command Manager is optimized for accelerated computing environments, making it suitable for diverse HPC and AI workloads. It is available with NVIDIA DGX systems and as part of the NVIDIA AI Enterprise software suite. High-performance Linux clusters can be quickly built and managed with NVIDIA Base Command Manager, supporting HPC, machine learning, and analytics applications.

AWS Parallel Computing Service (AWS PCS) is a managed service that simplifies running and scaling high-performance computing workloads and building scientific and engineering models on AWS using Slurm. It enables the creation of complete, elastic environments that integrate computing, storage, networking, and visualization tools, allowing users to focus on research and innovation without the burden of infrastructure management. AWS PCS offers managed updates and built-in observability features, enhancing cluster operations and maintenance. Users can build and deploy scalable, reliable, and secure HPC clusters through the AWS Management Console, AWS Command Line Interface (AWS CLI), or AWS SDK. The service supports various use cases, including tightly coupled workloads like computer-aided engineering, high-throughput computing such as genomics analysis, accelerated computing with GPUs, and custom silicon like AWS Trainium and AWS Inferentia.

Batch runs the applications that you use on workstations and clusters. It’s easy to cloud-enable your executable files and scripts to scale out. Batch provides a queue to receive the work that you want to run and executes your applications. Describe the data that need to be moved to the cloud for processing, how the data should be distributed, what parameters to use for each task, and the command to start the process. Think about it like an assembly line with multiple applications. With Batch, you can share data between steps and manage the execution as a whole. Batch processes jobs on demand, not on a predefined schedule, so your customers run jobs in the cloud when they need to. Manage who can access Batch and how many resources they can use, and ensure that requirements such as encryption are met. Rich monitoring helps you to know what’s going on and identify problems.

NVIDIA Bright Cluster Manager offers fast deployment and end-to-end management for heterogeneous high-performance computing (HPC) and AI server clusters at the edge, in the data center, and in multi/hybrid-cloud environments. It automates provisioning and administration for clusters ranging in size from a couple of nodes to hundreds of thousands, supports CPU-based and NVIDIA GPU-accelerated systems, and enables orchestration with Kubernetes. Heterogeneous high-performance Linux clusters can be quickly built and managed with NVIDIA Bright Cluster Manager, supporting HPC, machine learning, and analytics applications that span from core to edge to cloud. NVIDIA Bright Cluster Manager is ideal for heterogeneous environments, supporting Arm® and x86-based CPU nodes, and is fully optimized for accelerated computing with NVIDIA GPUs and NVIDIA DGX™ systems.

Mesos is built using the same principles as the Linux kernel, only at a different level of abstraction. The Mesos kernel runs on every machine and provides applications (e.g., Hadoop, Spark, Kafka, Elasticsearch) with API’s for resource management and scheduling across entire datacenter and cloud environments. Native support for launching containers with Docker and AppC images.Support for running cloud native and legacy applications in the same cluster with pluggable scheduling policies. HTTP APIs for developing new distributed applications, for operating the cluster, and for monitoring. Built-in Web UI for viewing cluster state and navigating container sandboxes.

Create, manage, operate, and optimize HPC and big compute clusters of any scale. Deploy full clusters and other resources, including scheduler, compute VMs, storage, networking, and cache. Customize and optimize clusters through advanced policy and governance features, including cost controls, Active Directory integration, monitoring, and reporting. Use your current job scheduler and applications without modification. Give admins full control over which users can run jobs, as well as where and at what cost. Take advantage of built-in autoscaling and battle-tested reference architectures for a wide range of HPC workloads and industries. CycleCloud supports any job scheduler or software stack—from proprietary in-house to open-source, third-party, and commercial applications. Your resource demands evolve over time, and your cluster should, too. With scheduler-aware autoscaling, you can fit your resources to your workload.

Welcome to the OpenHPC site. OpenHPC is a collaborative, community effort that was initiated from a desire to aggregate a number of common ingredients required to deploy and manage High Performance Computing (HPC) Linux clusters including provisioning tools, resource management, I/O clients, development tools, and a variety of scientific libraries. Packages provided by OpenHPC have been pre-built with HPC integration in mind with a goal to provide reusable building blocks for the HPC community. Over time, the community also plans to identify and develop abstraction interfaces between key components to further enhance modularity and interchangeability. The community includes representation from a variety of sources including software vendors, equipment manufacturers, research institutions, supercomputing sites, and others. This community works to integrate a multitude of components that are commonly used in HPC systems and are freely available for open source distribution.

Rocks is an open source Linux cluster distribution that enables end users to easily build computational clusters, grid endpoints, and visualization tiled-display walls. Since May 2000, the Rocks group has been addressing the difficulties of deploying manageable clusters with the goal of making clusters easy to deploy, manage, upgrade, and scale. The latest update, Rocks 7.0, codenamed Manzanita, is a 64-bit-only release based upon CentOS 7.4, with all updates applied as of December 1, 2017. Rocks include many tools, such as Message Passing Interface (MPI), which are integral components that make a group of computers into a cluster. Installations can be customized with additional software packages at install time by using special user-supplied CDs. The Spectre/Meltdown security vulnerabilities affect (nearly) all hardware and are addressed by OS updates.

The ultimate full-stack solution for setting up, managing, and scaling clusters with ease, control, and performance. Qlustar empowers your HPC, AI, and storage environments with unmatched simplicity and robust capabilities. From bare-metal installation with the Qlustar installer to seamless cluster operations, Qlustar covers it all. Set up and manage your clusters with unmatched simplicity and efficiency. Designed to grow with your needs, handling even the most complex workloads effortlessly. Optimized for speed, reliability, and resource efficiency in demanding environments. Upgrade your OS or manage security patches without the need for reinstallations. Regular and reliable updates keep your clusters safe from vulnerabilities. Qlustar optimizes your computing power, delivering peak efficiency for high-performance computing environments. Our solution offers robust workload management, built-in high availability, and an intuitive interface for streamlined operations.

CA 7 Workload Automation Intelligence Edition is a workload automation solution from Broadcom designed to help organizations manage and optimize job scheduling and workload processing across hybrid IT environments. The platform combines machine intelligence and automation analytics to improve operational efficiency and support proactive AIOps strategies. CA 7 Workload Automation Intelligence automates labor-intensive scheduling, monitoring, and performance management tasks for IBM z Systems environments. The solution provides real-time analytics through Workload Automation iDash, enabling organizations to monitor workloads and optimize performance more effectively. It also extends automation across multiple platforms and business applications through Workload Automation Agents for centralized workload management. The platform helps businesses anticipate performance issues, improve visibility across systems, and respond faster to changing service-level agreement requirements.

Enterprises need to automate a complex and diverse landscape of applications, platforms and technologies to deliver services in a competitive digital business environment. Service Orchestration and Automation Platforms are essential scale your IT operations and derive greater value from automation: You have to manage complex workflows across platforms, ERP systems, business apps from mainframe to microservices and multi-cloud. You need to streamline your big data pipelines, enabling self-services for data scientists while providing massive scale and strong governance on data flows. You're required to deliver compute, network and storage resources on-prem and in the cloud for development and business users. Automic Automation gives you the agility, speed and reliability required for effective digital business automation. From a single unified platform, Automic centrally provides the orchestration and automation capabilities needed accelerate your digital transformation.

IT is the vital backbone of any successful enterprise, indispensable for the flawless, ultra-responsive fulfillment of customer needs. But with greater responsibilities come greater challenges. - Growing complexity. Business processes have become very complex often interconnecting applications across heterogeneous platforms or hybrid clouds. - Exploding demand. The inability to scale hinders operations’ agility and impedes the ability to embrace innovation and support business growth. - Mounting risk. The tiniest failure of technology or the smallest service disruption can have an immense impact on your business. Dollar Universe Workload Automation optimizes IT workloads in today’s high volume, hybrid, heterogeneous environments. The peer-to-peer architecture of Dollar Universe Workload Automation makes it easy to deploy and easy to scale software, while limiting the risk of a single point of catastrophic failure.

Organizations need to effectively manage large volumes of complex, business-critical workloads across multiple applications and platforms. In such complex environments, there are number of business challenges you have to address. Availability of critical business services. A single workload failure can have a significant impact on an organization’s capability to deliver services. Respond to real time business events. Today’s on-demand business world requires real-time automation to efficiently respond to business events. Improve IT efficiency. Reducing IT costs continues to be a key requirement for organizations, at the same time IT is expected to improve service delivery. AutoSys Workload Automation enhances visibility and control of complex workloads across platforms, ERP systems, and the cloud. It helps to reduce the cost and complexity of managing mission critical business processes, ensuring consistent and reliable service delivery.

IBM® Workload Automation is a solution for batch and real-time hybrid workload management, available for distributed, mainframe or hosted in the cloud. Streamline your workload management with an analytics-fueled solution. Workload Automation 9.5 introduces new features that dramatically improve the way you manage your enterprise workloads and simplify the automation world. Improve decision-making and reduce costs by centralizing management and eliminating manual activities. Enable greater development agility and integration with DevOps toolchain for business and infrastructure agility. Customize workload dashboards and provide autonomy and precise governance to developers and operators. A modern look and feel simplifies real-time, data-driven decisions. Customization is easy with built-in widgets, including monitoring and support for data from any REST API. Use catalogs and services to submit routine business tasks, running and monitoring processes on demand from a mobile device.

You can perform on-demand deployment and automatic scaling of the cluster, and focus on the big data processing, analysis, and reporting only. Thanks to many years’ of massively distributed computing technology accumulation, Our operations team can undertake the cluster operations. It automatically scales up clusters to improve the computing ability in peak periods and scales down clusters to reduce the cost in the valley period. It provides the management console to facilitate cluster management, template customization, task submission, and alarm monitoring. By deploying together with the BCC, it focuses on its own business in a busy time and helps the BMR to compute the big data in free time, reducing the overall IT expenditure.