Productionizing Machine Learning Models with Containers


You'll learn about how to use Docker and Kubernetes to deploy Machine Learning workloads, and how an AI Layer can help you avoid the manual struggle.


Containers are changing the software deployment game.


Amidst a storm of major shifts in compute and data infrastructure, the emergence of Docker and Kubernetes have forced organizations to seriously reconsider their deployment processes. Machine Learning is no exception. 


Our whitepaper walks through:

  • The paradigm of containerization
  • How to get your model set up in a Docker container
  • Using Kubernetes to orchestrate your workloads
  • How the AI Layer can automate the tedious manual process