ClearML is an auto-magical CI/CD platform that streamlines AI workloads with comprehensive experiment management, data management, pipelines, orchestration, scheduling, and model serving in one unified MLOps and LLMOps solution. It helps teams achieve reproducibility, model versioning, and full training observability for both cloud and self-hosted deployments.
Experiment Tracking
- Automated experiment tracking that records run parameters, metrics, and model artifacts
- Easy comparison and rollback across experiments for reproducible research
- Full training observability with real-time metric dashboards and resource monitoring
- Centralized experiment management for research and engineering teams
Pipelines and Orchestration
- Built-in pipelines and orchestration with scheduling capabilities for automated end-to-end training workflows
- Lightweight extensible agents that collect runtime data and push metrics to backend storage with minimal overhead
- CI/CD integration for rapid promotion of trained models from experimentation to production inference services
- Containerized deployments and Kubernetes-based production environment support
Data and Model Management
- Comprehensive data management for storing datasets, model versions, and artifacts
- Online and batch model serving deployment tools for production inference
- Broad framework compatibility including PyTorch, TensorFlow, and Transformers
- Apache-2.0 licensed open-source platform supporting organizations through the full ML lifecycle from data preparation to model serving