Once a model is trained, it is stored in the Vertex AI Model Registry. This acts as a central repository to version, evaluate, and deploy your models.
After deployment, Vertex AI Model Monitoring tracks the model's predictions over time. If the distribution of incoming data changes significantly from the training data (a phenomenon known as Data Drift), the system triggers an alert so you can retrain the model.