Apache YuniKorn
5.9#11 in gpu cluster management softwareFree planFree planWebAPISelf-hosted
VisitApache YuniKorn vs ClearML
What both publish
| Fact | Apache YuniKorn | ClearML |
|---|---|---|
| Integrations | YuniKorn exposes scheduling metrics via Prometheus, and the project provides instructions for monitoring with Prometheus and Grafana. | The integrations documentation lists PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Optuna, Hydra, TensorBoard, Matplotlib, and LangChain among supported integrations. |
| Support | Users can ask for help in the YuniKorn Slack #yunikorn-user channel or use the user mailing list. | Scale includes private Slack channel support and an SLA, while Enterprise includes white-glove support with a custom SLA and professional services. |
Apache YuniKorn plans
- Apache YuniKornFree
ClearML plans
- CommunityFree
- Pro$15 a month
- EnterprisePriced on request
- ScalePriced on request
Pick Apache YuniKorn if…
YuniKorn suits teams running batch, data, or machine learning workloads on Kubernetes that need queue-based resource controls and scheduling policies. It is also relevant to users and developers interested in using or contributing to the project.
Pick ClearML if…
ClearML suits AI and machine-learning teams that need experiment management and model development tools alongside GPU resource management. Its hosting choices may also suit teams with self-hosted, VPC, on-premises, or hybrid requirements.