MLOps: Dockerizing ML Models for GPU Inference

In the realm of MLOps (Machine Learning Operations), there are several key components to manage: model deployment, model serving, model registry, model observability, and model monitoring to name a few. Once you've completed the extensive process of testing and evaluating your machine learning model, the next step is crucial — integrating it into your workflow or scaling it to a production or…