Overview

Defining ML Workflows including:

• Managing data
• Running notebooks
• Training Models
• Serving Models

Creating a Notebook

From the Notebook menu, create a new notebook server.

Components

Central Dashboard

The central user interface (UI) in Kubeflow

Notebook Servers

Using Jupyter notebooks in Kubeflow

Kubeflow Pipelines

Documentation for Kubeflow Pipelines.

KFServing

Kubeflow model deployment and serving toolkit

Katib

Documentation for Kubeflow Katib

Training Operators

Training of ML models in Kubeflow through operators

Multi-Tenancy

Multi-user isolation and identity access management (IAM)