Bring ML on Kubernetes with Kubeflow

This is a past event

76 people went

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What is Kubeflow?
The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed open-source systems for ML to diverse infrastructures. Anywhere you are running Kubernetes, you should be able to run Kubeflow.

To be covered
- Container vs Virtualization
- Overview of Docker containerization system
- Overview of Kubernetes
- Kubeflow:
* Challenges KF is trying to address
* KF components
* Presentation of KF Python SDK
* Demo