Machine Learning with Kubeflow on OCI Kubernetes Engine

Introduction

In this demo, we’ll show how to create a Kubernetes cluster and install Kubeflow within it. Kubeflow is an open source platform for machine learning and machine learning operations on Kubernetes. The different stages in a typical machine learning lifecycle are represented with different software components in Kubeflow, including model development, model training, model serving, and automated machine learning.

Once we have Kubeflow installed, we’ll use it to create a Jupyter notebook environment and create a self-hosted Jupyter environment for seamlessly running GPU and high performance computing workloads.

Oracle Cloud Infrastructure (OCI) Kubernetes Engine is the Oracle-managed Kubernetes service on OCI.

Demo

Prerequisites and setup

1. Oracle Cloud account—sign-up page
2. Oracle Cloud Infrastructure—documentation
3. OCI Generative AI—documentation
4. OCI Kubernetes Engine—documentation

Getting started

• Detailed steps and sample code on GitHub