ClearML
Free tierThe AI Infrastructure Platform for maximizing AI performance and scalability at enterprise scale
Free tier available·Technical·API available·Open source
Key strengths
End-to-end AI infrastructure management from development to productionGPU cluster orchestration across on-premise, cloud, and hybrid environmentsBuilt-in experiment tracking, pipelines, and model repositorySecure multi-tenancy with role-based access control and granular billingOne-click GenAI deployment with LLM serving and access control
Free tier + paid plans
San Jose, USA
Founded 2019
Self-hostable
No ratings yet
- Distributed GPU orchestration: Connect on-prem GPU clusters, cloud VMs, and hybrid environments under a single control plane with priority scheduling, fractional GPU support, and quota enforcement.
- MLOps pipeline automation: Build and execute DAG-based ML pipelines with automated data ingestion, preprocessing, training, evaluation, and model registry publishing steps.
- Experiment tracking & reproducibility: Auto-capture hyperparameters, metrics, code snapshots, environment specs, and artifacts for full experiment reproducibility using the ClearML SDK.
- LLM fine-tuning and RAG deployment: Use the GenAI App Engine to fine-tune open-source LLMs, create vector databases, serve inference endpoints, and collect user feedback for iterative improvement.
- Hyperparameter optimization (HPO): Run automated HPO jobs across multiple workers using ClearML's built-in optimization algorithms to maximize model performance.
- CI/CD integration for ML workflows: Integrate ClearML Agent into existing CI/CD pipelines (GitHub Actions, Jenkins, etc.) to trigger reproducible remote training runs on infrastructure-as-code principles.