Learn to Deploy Deep Learning Models Using Kubernetes

The platform for Kubermatic Kubernetes is an open-source, production-grade, cluster-management tool. It allows for automation and flexibility in the integration of the lifecycle management of a cluster as well as the ML/DL workflow.
Get Started
Before you deploy a model to your Kubernetes program, you need an installation of Docker and the creation of a container image of your model.
Containerization of the model includes the following steps:
Download and start Docker
Make a directory
Organize the dependencies and your code
Make a file for requirements. The .txt file should contain code to…