About Polyaxon
A platform for automating, tracking, and reproducing deep learning and ML workflows that deploys on Kubernetes and supports experiment management, pipelines, and optimization.
Key Features
- Experimentation & tracking — track runs, parameters, and metrics with dashboards.
- Automation & pipelines — DAGs, hyperparameter optimization, parallel executions, and schedules.
- Platform management — manage teams, agents, projects, and Kubernetes-native deployments.
- SDK & CLI — programmatic interaction, Polyaxonfile specification, and integration capabilities.
Use Cases & Best For
Kubernetes-based teams needing a full platform to run, reproduce, and automate ML workloads.
Organizations that want experiment tracking combined with pipeline automation and optimization engines.
About MLOps & Monitoring
Model operations and lifecycle management