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kubernetes-sigs/kueue

Kubernetes-native Job Queueing observed · 2026-08-28

github.com/kubernetes-sigs/kueue · homepage · Go · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

95/100

  • Activity 99
  • Release rhythm 86
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 0
  • age_days: 1659
  • days_rel: 13
  • days_push: 7
  • n_releases_24m: 96

Full methodology

Adoption not part of the score

2906 stars · 766 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Kueue is a Kubernetes-native job queueing system providing APIs and controllers that decide when batch, HPC, and AI/ML workloads should be admitted to start and when they should be stopped. It manages quotas, priorities, preemption, and dynamic capacity sharing across teams and clusters without replacing the core Kubernetes scheduler.

Use cases

  • queue and prioritize batch jobs on kubernetes
  • manage GPU quotas across teams sharing a cluster
  • run ML training jobs with fair resource sharing
  • preempt low-priority jobs when capacity runs out
  • schedule LLM training workloads with topology-aware placement
  • dispatch jobs across multiple kubernetes clusters
  • borrow idle capacity between team resource pools
  • wait for cluster autoscaler to provision nodes before admitting jobs

When to choose

  • you run batch, HPC, or AI/ML workloads on Kubernetes and need quota-based admission control
  • multiple teams share a cluster and need fair, preemption-aware resource sharing
  • you use Kubeflow, Ray, JobSet, or LeaderWorkerSet and need queueing for those job types
  • you want to maximize GPU/CPU utilization by borrowing idle capacity across cohorts
  • you need multi-cluster job dispatching from a central control plane

When to avoid

  • you only run a handful of long-lived services rather than batch jobs
  • you need full batch-scheduler features like gang scheduling with complex dependencies that a dedicated HPC scheduler provides
  • your cluster is older than Kubernetes 1.29
  • you want a scheduler that replaces kube-scheduler rather than complementing it

Facets

service · maturity active

scheduling workflow-automation monitoring container-orchestration middleware cloud-computing microservices machine-learning infrastructure-as-code go cloud self-hosted job-queueing batch-scheduling resource-quotas gpu-scheduling multi-tenancy preemption kubeflow ray fair-sharing cncf workload-admission multi-cluster containers devops kubernetes docker

7 sources

Member repositories

RepositoryRoleHealth v2
kubernetes-sigs/kueuemain95

For agents

markdown · JSON · MCP: product_card(name="kubernetes-sigs/kueue")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem