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articles/machine-learning/concept-model-lifecycle-retirement.md

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> This article describes deprecation and retirement only for models that can be deployed to __serverless APIs__, not managed compute. To learn more about the differences between deployment to serverless APIs and managed computes, see [Model Catalog and Collections](concept-model-catalog.md).
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> [!NOTE]
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> Azure OpenAI models in the model catalog are provided through Azure OpenAI Service. For information about Azure Open AI model deprecation and retirement, see the [Azure OpenAI service product documentation](/azure/ai-services/openai/concepts/model-retirements).
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> Azure OpenAI models in the model catalog are provided through Azure OpenAI Service. For information about Azure OpenAI model deprecation and retirement, see the [Azure OpenAI service product documentation](/azure/ai-services/openai/concepts/model-retirements).
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## Model lifecycle stages
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## Related content
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- [Model Catalog and Collections](concept-model-catalog.md)
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- [Data, privacy, and security for use of models through the Model Catalog](concept-data-privacy.md)
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- [Data, privacy, and security for use of models through the Model Catalog](concept-data-privacy.md)

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