Deploying models from SageMaker Model Registry
There are many possible next steps available after an ML model has been registered to a model registry. In this section, we will focus on deploying the first registered ML model (pre-trained K-Nearest Neighbor model) manually to a new inference endpoint. After the first registered ML model has been deployed, we will proceed with deploying the second registered model (pre-trained Linear Learner model) in the same endpoint where the first ML model has been deployed, similar to what’s shown in the following diagram:
Figure 8.7 – Deploying models from the model registry
Here, we can see that we can directly replace the deployed ML model inside a running ML inference endpoint without creating a new separate inference endpoint. This means that we do not need to worry about changing the “target infrastructure server” in our setup since the model replacement operation is happening behind the...