jieguangzhou opened a new issue, #12230: URL: https://github.com/apache/dolphinscheduler/issues/12230
### Search before asking - [X] I had searched in the [issues](https://github.com/apache/dolphinscheduler/issues?q=is%3Aissue) and found no similar feature requirement. ### Description In the new dev branch, we have added a task group name `Machine Learning`. <img width="332" alt="image" src="https://user-images.githubusercontent.com/31528124/193203730-f28c9467-3af6-4555-a733-e21874f41835.png";> And there are already six MLOps task plugins, but we have no power task plugin to run ML tasks in k8s, and model deployment. I think we can add some hot project task plugins to get this capability. Here are some suggested components. |Project| features| | ----|----| |[Kubeflow](https://www.kubeflow.org)| Run ml task in k8s | |[BentoML](https://github.com/bentoml/BentoML)| Easier to deploy models | |[SeldonCore](https://github.com/SeldonIO/seldon-core)| Easier to deploy models to k8s | | [Ray](https://github.com/ray-project/ray) |Run ML task in Ray cluster, or run Ray AI Runtime to build ML pipeline | | [Tensorflow](https://github.com/tensorflow/tensorflow) | Run TensorFlow task like PyTorch plugin| If anyone is interested or has suggestions, we can discuss them under this issue. ### Use case _No response_ ### Related issues _No response_ ### 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://www.apache.org/foundation/policies/conduct) -- 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: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
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