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articles/ai-studio/concepts/model-lifecycle-and-retirement.md

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@@ -5,12 +5,13 @@ description: Learn about the lifecycle stages, deprecation, and retirement for m
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manager: scottpolly
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ms.service: azure-ai-studio
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ms.topic: concept-article
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ms.date: 11/21/2024
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ms.date: 11/22/2024
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ms.author: mopeakande
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author: msakande
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ms.reviewer: mabables
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reviewer: ManojBableshwar
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ms.reviewer: kritifaujdar
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reviewer: fkriti
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#Customer intent: As a data scientist, I want to learn about the lifecycle of models that are available in the model catalog.
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# Model deprecation and retirement in Azure AI model catalog

articles/ai-studio/how-to/deploy-models-mistral.md

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## Related content
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* [Azure AI Model Inference API](../reference/reference-model-inference-api.md)
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* [Deploy models as serverless APIs](deploy-models-serverless.md)
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* [Azure AI Model Inference API](../reference/reference-model-inference-api.md)
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* [Model deprecation and retirement in Azure AI model catalog](../concepts/model-lifecycle-and-retirement.md)
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* [Consume serverless API endpoints from a different Azure AI Foundry project or hub](deploy-models-serverless-connect.md)
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* [Region availability for models in serverless API endpoints](deploy-models-serverless-availability.md)
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* [Plan and manage costs (marketplace)](costs-plan-manage.md#monitor-costs-for-models-offered-through-the-azure-marketplace)

articles/ai-studio/how-to/model-catalog-overview.md

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## Related content
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* [Explore foundation models in Azure AI Foundry portal](models-foundation-azure-ai.md)
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* [Model deprecation and retirement in Azure AI model catalog](../concepts/model-lifecycle-and-retirement.md)

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