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SPECIFICTION
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ClearML vs Kueue

ClearML

clear.ml

Kueue

kueue.sigs.k8s.io

Side by side

FigureClearMLKueue
Price from$15/moFree
Free planYesYes
Free trial——
Open source——
WebYes—
WindowsYes—
macOSYes—
LinuxYes—
APIYesYes
Self-hostedYesYes
Plans published41
Spec score · GPU Cluster Management Software8.7 (#2)8.0 (#7)

Plans

ClearML

  • CommunityFree
  • Pro$15 a month
  • EnterprisePriced on request
  • ScalePriced on request

ClearML pricing →

Kueue

  • KueueFree

Kueue pricing →

In their own words

ClearML

ClearML is an AI infrastructure platform organized into an Infrastructure Control Plane, AI Development Center, and GenAI App Engine. The Control Plane manages GPU resources across on-premises, cloud, and hybrid environments, including multi-tenant GPU-as-a-Service. The Development Center supports developing, training, testing, and deploying AI/ML models, with monitoring, pipelines, a model repository, and CI/CD integration. The GenAI App Engine deploys LLMs on compute clusters and provides networking, authentication, access control, and monitoring. Experiment tracking, comparisons, artifacts, metrics and plots, and Git version control integration appear across the listed tiers. Integrations include PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Optuna, Hydra, TensorBoard, Matplotlib, and LangChain; storage integrations include AWS S3, Azure, Google Storage, MinIO, and Backblaze B2. ClearML can be hosted on its servers, self-hosted, or provided as a managed service, with VPC, on-premises including air-gapped, and hybrid options. Community is free; Pro costs $15 a month per user plus usage. Scale and Enterprise pricing is by quote.

Visit clear.ml

Kueue

Kueue is a free Kubernetes project that manages quotas and job resource consumption, deciding when workloads wait, start, or are preempted. It installs on a standard Kubernetes cluster without replacing existing components. Its scheduling tools include priority-based queues, fair sharing, quota borrowing between teams, resource flavor fungibility, preemption policies, and all-or-nothing scheduling. Built-in integrations cover Kubernetes Jobs and Pods, Kubeflow training jobs, Ray jobs and clusters, JobSet, AppWrapper, Deployments, StatefulSets, and LeaderWorkerSet. MultiKueue can find capacity and dispatch workloads across clusters, while topology-aware scheduling accounts for data center layout to improve communication throughput between pods. Kueue provides Prometheus metrics and an endpoint for viewing pending workloads. Installation instructions cover kubectl, Helm, and source builds. The guide recommends Kubernetes 1.34 or newer and officially supports and tests only those versions. Kueue also provides administrator and user ClusterRoles, with resource-specific roles that can be composed into custom roles. Its webhook server includes internal certificate management, and the installation guide links to cert-manager instructions.

Visit kueue.sigs.k8s.io