Kubeflow Pipelines
Explore how to design and run complex AI workflows with Kubeflow Pipelines. Learn to build multi-container workflows using the Pipelines SDK, visualize execution through the UI, and manage parameters for flexible runs.
We'll cover the following...
We'll cover the following...
For notebook servers, we gave an example of a single container (the notebook instance) application. Kubeflow also gives us the ability to run multi-container application workflows (such as input data, training, and deployment) using the pipelines functionality. Pipelines are Python functions that follow ...