Containerized deployment (dockerizing) is a deployment method that packages the model and its running dependent environment into a Docker container. It realizes the standardization and isolation of the inference environment, solves the problem of inconsistent environment configuration, and facilitates the rapid migration and deployment of models between different platforms.
