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# Machine Learning Working Group

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

## Meetings
* Regular WG Meeting: [Thursdays at 13:00 PT (Pacific Time)](https://zoom.us/j/4799874685) (biweekly). [Convert to your timezone](http://www.thetimezoneconverter.com/?t=13:00&tz=PT%20%28Pacific%20Time%29).
  * [Meeting notes and Agenda](https://goo.gl/gBCdt1).

## Organizers

* Vishnu Kannan (**[@vishh](https://github.com/vishh)**), Google
* Kenneth Owens (**[@kow3ns](https://github.com/kow3ns)**), Google
* Balaji Subramaniam (**[@balajismaniam](https://github.com/balajismaniam)**), Intel
* Connor Doyle (**[@ConnorDoyle](https://github.com/ConnorDoyle)**), Intel

## Contact
* [Slack](https://kubernetes.slack.com/messages/wg-machine-learning)
* [Mailing list](https://groups.google.com/forum/#!forum/kubernetes-wg-machine-learning)

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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](https://groups.google.com/forum/?utm_medium=email&utm_source=footer#!msg/kubernetes-dev/lOeMjOLilxI/wuQayFDvCQAJ) is as follows:

    * Assess 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.
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