ClearML
7.4#1 in gpu cluster management softwareFrom $15 a monthFree planWebAPILinuxmacOS
VisitClearML vs SkyPilot
What both publish
| Fact | ClearML | SkyPilot |
|---|---|---|
| Integrations | The integrations documentation lists PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Optuna, Hydra, TensorBoard, Matplotlib, and LangChain among supported integrations. | The site lists Kubernetes, Slurm, AWS, GCP, Azure, Nebius, CoreWeave, Lambda, RunPod, and other cloud and compute providers. |
| Open source | ClearML says its self-hosted version is 100% open source on GitHub. | SkyPilot began as an open-source project at UC Berkeley's Sky Computing Lab. |
| Product | ClearML describes its AI infrastructure platform as three layers: Infrastructure Control Plane, AI Development Center, and GenAI App Engine. | SkyPilot unifies Kubernetes, Slurm, VMs, and on-premises compute to run AI workloads across the AI lifecycle. |
| Support | Scale includes private Slack channel support and an SLA, while Enterprise includes white-glove support with a custom SLA and professional services. | The maker invites users to connect with the SkyPilot team and community through Slack. |
ClearML plans
- CommunityFree
- Pro$15 a month
- EnterprisePriced on request
- ScalePriced on request
SkyPilot plans
No prices published.
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 SkyPilot if…
SkyPilot suits AI teams managing workloads across cloud, Kubernetes, Slurm, VMs, and on-premises infrastructure. The platform offering is positioned for teams with large GPU fleets and demanding AI workloads.