Category: deployment

Deploying Models as RESTful APIs using Kubeflow Pipelines and KFServing: A Step-by-Step Tutorial

Deploying Models as RESTful APIs using Kubeflow Pipelines and KFServing: A Step-by-Step Tutorial Deploying machine learning models as RESTful APIs allows for easy integration with other applications and services. Kubeflow Pipelines provides a platform for building and deploying machine learning pipelines, while KFServing is an open-source project that simplifies the deployment of machine learning models as serverless inference services on Kubernetes. In this tutorial, we will explore how to deploy models as RESTful APIs using Kubeflow Pipelines and KFServing. Prerequisites…