--- title: Model Deployment --- Model deployment makes trained models accessible for real-world applications. ClearML provides a comprehensive suite of tools for seamless model deployment, which supports features including: * Version control * Automatic updates * Performance monitoring ClearML's offerings optimize the deployment process while ensuring scalability and security. The solutions include: * **Model Deployment UI Applications** (available under the Enterprise Plan) - The UI applications simplify deploying models as network services through secure endpoints, providing an interface for managing deployments--no code required. See more information about the following applications: * [vLLM Deployment](webapp/applications/apps_model_deployment.md) * [Embedding Model Deployment](webapp/applications/apps_embed_model_deployment.md) * [Llama.cpp Model Deployment](webapp/applications/apps_llama_deployment.md) * **Command-line Interface** - `clearml-serving` is a CLI for model deployment and orchestration. It supports integration with Kubernetes clusters or custom container-based solutions, offering flexibility for diverse infrastructure setups. For more information, see [ClearML Serving](clearml_serving/clearml_serving.md). ## Model Endpoint Monitoring All deployed models are displayed in a unified **Model Endpoints** list in the UI. This allows users to monitor endpoint activity and manage deployments from a single location. For more information, see [Model Endpoints](webapp/webapp_model_endpoints.md).  