Identify and fix gaps in Kubernetes to better support Machine Learning applications
- Regular WG Meeting: Thursdays at 13:00 PT (Pacific Time) (biweekly). Convert to your timezone.
- Vishnu Kannan (@vishh), Google
- Kenneth Owens (@kow3ns), Google
- Balaji Subramaniam (@balajismaniam), Intel
- Connor Doyle (@ConnorDoyle), Intel
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.