ClearML
7.4#1 in gpu cluster management softwareFrom $15 a monthFree planWebAPILinuxmacOS
VisitClearML vs GPUStack
What both publish
| Fact | ClearML | GPUStack |
|---|---|---|
| Headquarters | Berkeley, California, USA | Shenzhen, Guangdong, China |
| Integrations | The integrations documentation lists PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Optuna, Hydra, TensorBoard, Matplotlib, and LangChain among supported integrations. | Listed integrations include OpenWebUI, LangChain, n8n, Dify, RAGFlow, Claude Code, OpenClaw, Docker, Podman, Kubernetes, Helm, Prometheus, and Grafana. |
| Support | Scale includes private Slack channel support and an SLA, while Enterprise includes white-glove support with a custom SLA and professional services. | The contact page offers personalized demos and architecture, deployment, and scaling guidance, and says replies typically arrive within one business day. |
ClearML plans
- CommunityFree
- Pro$15 a month
- EnterprisePriced on request
- ScalePriced on request
GPUStack plans
- GPUStack Community EditionFree
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.
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.