Apache YuniKorn
5.9#11 in gpu cluster management softwareFree planFree planWebAPISelf-hosted
VisitApache YuniKorn vs GPUStack
What both publish
| Fact | Apache YuniKorn | GPUStack |
|---|---|---|
| Deployment | The project recommends deploying YuniKorn to an existing Kubernetes cluster using its Helm chart and Helm 3 or later. | It supports on-premise, Kubernetes, and multi-cloud GPU deployments, and the maker states that air-gapped deployments are supported. |
| Integrations | YuniKorn exposes scheduling metrics via Prometheus, and the project provides instructions for monitoring with Prometheus and Grafana. | Listed integrations include OpenWebUI, LangChain, n8n, Dify, RAGFlow, Claude Code, OpenClaw, Docker, Podman, Kubernetes, Helm, Prometheus, and Grafana. |
| Support | Users can ask for help in the YuniKorn Slack #yunikorn-user channel or use the user mailing list. | The contact page offers personalized demos and architecture, deployment, and scaling guidance, and says replies typically arrive within one business day. |
Apache YuniKorn plans
- Apache YuniKornFree
GPUStack plans
- GPUStack Community EditionFree
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 GPUStack if…
GPUStack suits teams deploying AI models on GPU infrastructure who need model-serving endpoints, cluster controls, and on-premise, cloud, or hybrid deployment options.