Introduction
ClearML is an open-source, full-stack ML operations platform that provides experiment tracking, orchestration, data versioning, and model deployment in a unified, developer-friendly framework. ClearML offers powerful integrations across the machine learning toolchain and enables teams to automate, observe, and collaborate throughout every phase of model development and delivery. ClearML is used to streamline ML workflows, centralize experiment tracking, and manage the complex infrastructure around production AI systems.
Key benefits of using ClearML include:
Experiment Tracking and Reproducibility: Automatically captures and logs code, parameters, metrics, datasets, and artifacts for every experiment—ensuring full traceability and auditability.
Task Scheduling and Pipeline Orchestration: Supports dynamic job scheduling, dependency management, and pipeline execution across local machines, Kubernetes clusters, or remote workers.
Data and Model Versioning: Tracks dataset versions and model artifacts alongside experiments, making it easy to roll back, reuse, or reproduce workflows at any time.
Team Collaboration and UI: Provides a web-based dashboard to visualize experiments, compare results, and share progress—enabling fast feedback and cross-functional alignment.
Scalable Agent Infrastructure: Uses lightweight ClearML Agents to distribute and execute jobs across heterogeneous compute environments, including on-prem, cloud, and GPU clusters.
ClearML is used across research and production teams to manage workflows such as model experimentation, hyperparameter tuning, training pipelines, and continuous evaluation. It complements other platform components like MLflow (for lightweight tracking), Ray (for distributed compute), and Prefect or Airflow (for broader orchestration) while offering a turnkey, integrated solution for managing the ML stack. By adopting ClearML, you can ensure its ML workflows are traceable, automatable, and production-grade—empowering teams to scale machine learning with confidence, agility, and operational excellence.