edgBR opened a new issue, #55754: URL: https://github.com/apache/airflow/issues/55754
### Description Currently the Azure Machine Learning provider is available as a completely separated package that is not being maintained actively. This is not the case of sagemaker (where this is part of the main AWS provider) neither Vertex AI (which is part of the main GCP provider). I am very willing to contribute to this but I need commitment from someone to the community to get this flowing. ### Use case/motivation Azure Machine Learning is a great platform to externalize compute specially using Low Priority instances with GPUs. For teams who do not want to bother managing their own AKS spot pools as well as all the infrastructure required to allocate GPU nodes, orchestrating AML Jobs via Airflow is a great way to lower TCO and focus in what matters. Besides, Airflow offer providers for similar platforms like AWS Sagemaker, GCP Vertex AI with better support than AzureML. We believe is important to keep this support alive and also to be enhanced. ### Related issues https://github.com/Azure/airflow-provider-azure-machinelearning/pull/16 ### Are you willing to submit a PR? - [x] Yes I am willing to submit a PR! ### Code of Conduct - [x] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: commits-unsubscr...@airflow.apache.org.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
