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