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I would imagine Kubeflow (https://github.com/kubeflow/kubeflow) would be complimentary (e.g. run MLFlow on top of it) - they claim platform neutrality.

Disclosure: I work at Google on Kubeflow.



Yes, Kubeflow is a vey promising platform for ml lifecycle management on kubernetes. The combination of kubernetes, istio and kubeflow could enable other higher layer workflow tools (mlflow, h2o etc). This space is early.


the mlflow now suport ml lifecycly management?I think we can find a way to combinate kubeflow and mlflow




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