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    1. Home
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    3. Kueue
    Kueue icon

    Kueue

    Container Orchestration

    Kubernetes-native job queueing and quota management for batch, HPC, and AI/ML workloads.

    Visit Website

    At a Glance

    Pricing
    Open Source

    Kueue core is licensed under Apache License 2.0 and can be self-hosted at no charge. Documentation is distributed under CC BY 4.0.

    Engagement

    Available On

    Linux
    API
    CLI

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    Container OrchestrationCompute OptimizationScaling Solutions

    Alternatives

    KAI SchedulerAgent SubstrateCyclops
    Developer
    kubernetes-sigs (AWS)Seattle, WAEst. 2006

    Listed Oct 2026

    About Kueue

    Kueue is an open-source set of APIs and a controller from the Kubernetes community (SIG Scheduling, hosted under kubernetes-sigs) for job-level queueing. It decides when a job should be admitted to start and when it should stop, and it works with common Kubernetes workload types. The project lists v0.20.1 as its latest release.

    What It Is

    Kueue is a job-level manager that acts as an admission controller before the Kubernetes scheduler, managing queues and quotas without replacing core Kubernetes components. Administrators define quotas and queues with native Kubernetes APIs, and Kueue admits workloads (so pods can be created) or evicts them (so active pods are deleted) according to those rules. It targets batch, HPC, and AI/ML workloads.

    Quota and Resource Sharing

    Quotas are defined at the cluster level and shared across teams and namespaces. Queues can be grouped into cohorts so workloads borrow idle capacity from peers. Queueing strategies include StrictFIFO and BestEffortFIFO, and priority-based preemption and Fair Sharing apply between tenants. Resource flavor fungibility lets workloads route to different hardware pools, such as Spot versus On-Demand instances or different GPU models.

    Workload Integrations and Placement

    Built-in integrations cover Kubernetes Job, JobSet, Kubeflow training jobs, RayJob, RayCluster, LeaderWorkerSet, plain Pods and Pod Groups, and serving workloads such as Deployments and StatefulSets. Topology-Aware Scheduling groups tightly coupled pods based on data-center topology to improve pod-to-pod communication. MultiKueue dispatches jobs across multiple worker clusters from a central control plane. Dynamic Resource Allocation support manages quota for devices such as GPUs.

    Operations and Setup

    AdmissionChecks let internal or external components influence admission, including integration with cluster-autoscaler ProvisioningRequests. Other features include all-or-nothing scheduling with ready pods, partial admission with reduced parallelism, and dynamic reclaim of quota. Prometheus metrics and an on-demand visibility endpoint for pending workloads support monitoring. Kueue is installed by applying a release manifest with kubectl, runs in the kueue-system namespace, and is officially supported and tested on Kubernetes 1.34 or newer.

    Kueue - 1

    Community Discussions

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    Pricing

    OPEN SOURCE

    Open Source

    Kueue core is licensed under Apache License 2.0 and can be self-hosted at no charge. Documentation is distributed under CC BY 4.0.

    • Apache License 2.0 (OSI-approved) core software
    • Multi-tenant quotas and dynamic capacity sharing
    • Topology-aware placement
    • Resource pools and preemption
    • Multi-cluster scaling (MultiKueue)

    Capabilities

    Key Features

    • Multi-tenant quotas
    • Cohort-based capacity borrowing
    • Priority-based preemption and Fair Sharing
    • StrictFIFO and BestEffortFIFO queueing
    • Resource flavor fungibility
    • Topology-aware scheduling
    • MultiKueue multi-cluster job dispatching
    • Dynamic Resource Allocation (DRA) quota management
    • AdmissionChecks
    • All-or-nothing scheduling with ready pods
    • Partial admission and dynamic reclaim
    • Mixed training and inference workload management
    • Prometheus metrics and pending workload visibility

    Integrations

    Kubernetes Job
    JobSet
    KubeRay
    RayJob
    RayCluster
    Kubeflow Trainer
    LeaderWorkerSet
    Kubernetes Deployments
    StatefulSets
    cluster-autoscaler ProvisioningRequest
    Prometheus
    API Available
    View Docs

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    Developer

    kubernetes-sigs (AWS)

    Karpenter is built at AWS and maintained under the Kubernetes SIGs (Special Interest Groups) organization. The project delivers a flexible, high-performance Kubernetes node autoscaler designed for cloud-native environments. It operates as a community-driven open-source project governed by the Kubernetes community code of conduct. AWS engineers lead core development while contributors from Azure, GCP, Oracle, and other cloud providers maintain their respective provider implementations.

    Founded 2006
    Seattle, WA
    100,000 employees

    Used by

    Netflix
    Airbnb
    Capital One
    Read more about kubernetes-sigs (AWS)
    WebsiteGitHub
    3 tools in directory

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