Deploying machine learning algorithms for real-time inference is of utmost importance to power customer-facing web applications and other use cases. One of the prerequisites for a functional real-time ML serving architecture is to containerize the applications. Containerizing the runtimes provides a reproducible environment to train and deploy the ML models. In this article, we’ll look […]