Seattle, WA
December 10–13, 2018
Click Here for More Information & Registration
View Venue Map
Back To Schedule
Wednesday, December 12 • 2:35pm - 3:10pm
Eco-Friendly ML: How the Kubeflow Ecosystem Bootstrapped Itself - Peter MacKinnon, Red Hat

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.
How do you bootstrap an open source project that aims to provide stability, composability, and portability for machine learning? You use Kubernetes and its rich ecosystem to implement the pieces of infrastructure that you need to deliver a comprehensive ML platform for data scientists and DevOps engineers alike. This talk will explore the various integrations that have enabled Kubeflow to quickly emerge as the de-facto machine learning toolkit for Kubernetes. We'll look in detail at not only how Kubeflow leverages Ambassador, Argo, Ksonnet, and JupyterHub, but also examine integration with complementary projects such as Pachyderm and SeldonIO. You will leave this talk with a better understanding and inspiration of how a particular project can rapidly achieve its potential by working with other projects, and that those inter-project collaborations enrich the entire Kubernetes community.

avatar for Peter MacKinnon

Peter MacKinnon

Principal Software Engineer, Red Hat
Pete MacKinnon is a Principal Software Engineer in the AI Center of Excellence at Red Hat. He is actively involved in the open source Kubeflow project to bring TensorFlow machine learning workloads to container environments (Kubernetes and OpenShift).

Wednesday December 12, 2018 2:35pm - 3:10pm PST
4C 1/2