We are living in exciting times! Some of us have been fortunate to have lived through huge advances in technology--the invention of the personal computer, the dawn of the internet, the proliferation of cell phones, and the advent of social media. And now, major breakthroughs are happening in AI! It's exciting to watch and be a part of this change. I think we're just getting started, and it's amazing to think of how the world might change over the next decade. How great it is that we're living during these times and can participate in the expansion of AI? PyTorch has, no doubt, enabled some of the finest advances in deep learning and AI.

In this tutorial, we provide step-by-step instructions to go from loading a pre-trained Convolutional Neural Network model to creating a containerized web application that is hosted on Kubernetes cluster with GPUs on Azure Container Service (AKS). AKS makes it quick and easy to deploy and manage containerized applications without much expertise in managing Kubernetes environment. It eliminates complexity and operational overhead of maintaining the cluster by provisioning, upgrading, and scaling resources on demand, without taking the applications offline. AKS reduces the cost and complexity of using a Kubernetes cluster by managing the master nodes for which the user does no incur a cost. Azure Container Service has been available for a while and similar approach was provided in a previous tutorial to deploy a deep learning framework on Marathon cluster with CPUs .