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Machine Learning Working Group

Identify and fix gaps in Kubernetes to better support Machine Learning applications

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A working group dedicated towards making Kubernetes work best for Machine Learning workloads.

The charter for this working group as proposed is as follows:

* Asses the state of the art for ML workloads on K8s
* Identify pain points users currently have with ML on k8s
* Identify, prioritize and execute on improving k8s to better support ML workloads in the near, medium, and long term.

TODO: Finalize and update the charter after the initial kick off meeting on 3/1/2018.