AIrun
AIrun is a platform for deploying and managing artificial intelligence workflows across heterogeneous compute environments. It provides orchestration, model lifecycle management, data lineage, and observability from development to production, emphasizing reproducibility, portability, and scalable resource use.
AIrun began as an open-source project in the early 2020s and reached its first widely used 1.0
AIrun architecture centers on four core components: a scheduler that assigns tasks across compute resources; a
Key features include workflow orchestration, experiment tracking, a model registry, multi-tenant support, distributed training and inference,
Use cases span research and development pipelines, MLops for production models, edge deployments, and education/training environments.
Reception has been mixed: praised for improving reproducibility and governance, while some users report a steep
Related projects include MLflow and Kubeflow, which address similar problems in experiment tracking and pipeline orchestration.