Azure Machine Learning ties experiment tracking, pipelines, and model serving to Azure-specific APIs and managed-compute pricing. ClearML is an open-source MLOps platform that provides the same capabilities — self-hosted, on any infrastructure. This guide deploys ClearML Server with Docker Compose and Traefik, configures agents for remote execution, tracks an experiment, builds a pipeline, runs hyperparameter optimization, and serves a model with Triton.
Prerequisites: a Linux server, non-root sudo user, Docker + Docker Compose, DNS A records for app.clearml.example.com, api.clearml.example.com, files.clearml.example.com. GPU workloads (optional) need the NVIDIA Container Toolkit on the agent host.
Architecture
Azure ML
ClearML equivalent
