Kueue
Kueue: A free, open-source scheduler for Kubernetes batch queues, quotas, and multi-cluster workloads. Ranked #12 of 21 in GPU Cluster Management Software by our editors (8.0/10); pricing: Free plan; best for kubernetes batch queues with multi-tenant quotas.
At a glance
- Editor score8.0 / 10
- PricingFree plan
- Best forKubernetes batch queues with multi-tenant quotas
- Free planYes
- Paid fromFree
- Deployment modelSelf_hosted
- Facts checked22 Sep 2026

Where it wins
- Fair sharing, lending, borrowing, and preemption controls
- GPU accounting, topology awareness, and Prometheus visibility
- Supports Kubernetes, Kubeflow, Ray, and multi-cluster workloads
Where it doesn't
- Requires installation in a user-managed Kubernetes cluster
- Focused on batch, HPC, and AI/ML workload scheduling
- Does not replace Kubernetes core scheduling components
Our verdict on Kueue
Kueue is a Kubernetes-native job queueing system for batch, HPC, and AI/ML workloads. It is designed for teams running shared compute environments that need admission control, queue priorities, multi-tenant quotas, and resource sharing. Kueue works with Kubernetes Jobs, JobSets, Kubeflow training workloads, Ray workloads, Pods, Deployments, and other Kubernetes integrations. It is open source under the Apache License 2.0 and is installed into an existing, self-managed Kubernetes cluster.
Its strongest fit is workload governance across shared GPU and compute capacity. Kueue supports priority-based queueing with FIFO strategies, fair sharing, cohorts, lending, borrowing limits, preemption, and partial admission. Topology-aware scheduling and GPU and DRA quota accounting add controls for hardware-aware allocation. Prometheus metrics and pending-workload visibility help operators track queued work. MultiKueue extends the model to multi-cluster workload dispatching, while integrations cover Kubernetes Jobs, JobSet, Kubeflow Trainer, KubeRay RayJob, KubeRay RayCluster, AppWrapper, Pods, Pod Groups, Deployments, StatefulSets, and LeaderWorkerSet.
Kueue suits platform teams that want Kubernetes-native batch queueing without replacing Kubernetes core scheduling components. Its free, open-source model is a practical fit for organizations prepared to operate the software within their own Kubernetes clusters. The trade-off is scope: Kueue is centered on batch, HPC, and AI/ML workload admission and quota management rather than general-purpose cluster scheduling. Choose it when multi-tenant quotas, fair sharing, GPU accounting, or multi-cluster dispatch are priorities; consider an alternative when you need a managed service or scheduling centered on non-batch workloads.
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Kueue pricing
Kueue fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Deployment model | Self_hosted |
| Workload scheduling | Batch |
| Kubernetes support | Yes |
| Quota controls | Yes |
| GPU utilization metrics | Yes |
| Cloud GPU support | Yes |
| Deployment | Self-hosted |
| Support | Community, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 13 integrations: Kubernetes Jobs, JobSet, Kubeflow Trainer, Kubeflow training jobs, KubeRay RayJob, KubeRay RayCluster … |
| Pricing | Free plan |
| Website | kueue.sigs.k8s.io |
| Facts checked | 22 Sep 2026 |
Kueue integrations
Kueue lists 13 integrations on its own site.
- Kubernetes Jobs
- JobSet
- Kubeflow Trainer
- Kubeflow training jobs
- KubeRay RayJob
- KubeRay RayCluster
- AppWrapper
- Pods
- Pod Groups
- Deployments
- StatefulSets
- LeaderWorkerSet
- Prometheus
Alternatives to Kueue
- Backend.AIA broad GPU cluster platform for teams managing shared, multi-tenant AI infrastructure.9.4
- NVIDIA Mission ControlEnterprise GPU cluster management with orchestration, observability, and automated recovery.9.2
- NVIDIA Run:aiA broad Kubernetes-native GPU control plane for training, inference, and shared infrastructure.9.0
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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