June 20 - 22 - Tokyo, Japan
Click for Open Source Summit Japan & Automotive Linux Summit Information & Registration
Back To Schedule
Thursday, June 21 • 11:10 - 11:50
Build Machine Learning Stack on Kubernetes using Kubeflow - Nilesh Patel, IBM (Watson and Cloud Platform)

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.
Kubernetes has quickly become the hybrid solution for deploying complicated workloads anywhere. While it started with just stateless services, customers have begun to move complex workloads to the platform. One of the fastest growing use cases is to use Kubernetes as a platform to run machine learnings apps.

Building any production-ready machine learning system involves mixing vendors and hand-rolled solutions. Connecting and managing these services for even moderately sophisticated setups introduces huge barriers of complexity in adopting machine learning. Infrastructure engineers will often spend a significant amount of time manually tweaking deployments.

To address these concerns, Google recently launched Kubeflow, a new open source project to make using ML stacks on Kubernetes easy, fast and extensible. Learn in this sessions, how to build ML stake on Kubernetes using Kubeflow.

avatar for Nilesh Patel

Nilesh Patel

Principal Product Manager, WalmartLabs
Nilesh Patel is an Offering Manager working on the IBM Cloud Container Service and ISTIO. Since joining IBM, he has managed several devOps products in the area of deployment and releases automation. Most recently, Nilesh is helping to drive Istio and Kubernetes adoption by working... Read More →

Thursday June 21, 2018 11:10 - 11:50 JST