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Merge pull request #2599 from MicrosoftDocs/repo_sync_working_branch
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articles/ai-foundry/model-inference/how-to/quickstart-ai-project.md

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## Move from Serverless API Endpoints to Azure AI model inference
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Although you configured the project to use the Azure AI model inference, existing model deployments continue to exit within the project as Serverless API Endpoints. Those deployments aren't moved for you. Hence, you can progressively upgrade any existing code that reference previous model deployments. To start moving the model deployments, we recommend the following workflow:
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Although you configured the project to use the Azure AI model inference, existing model deployments continue to exist within the project as Serverless API Endpoints. Those deployments aren't moved for you. Hence, you can progressively upgrade any existing code that reference previous model deployments. To start moving the model deployments, we recommend the following workflow:
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1. Recreate the model deployment in Azure AI model inference. This model deployment is accessible under the **Azure AI model inference endpoint**.
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articles/machine-learning/reference-kubernetes.md

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| Date | Version |Version description |
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|---|---|---|
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|Jan 28, 2025 | 1.1.71| Fix vulnerable image. |
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|Jan 20, 2025 | 1.1.70| Fix compatible issue with AKS autoscale for AKS 1.30. |
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|Sep 26, 2024 | 1.1.64| Fixed vulnerabilities. |
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|Nov 21, 2023 | 1.1.39| Fixed vulnerabilities. Refined error message. Increased stability for relayserver API. |
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|Nov 1, 2023 | 1.1.37| Update data plane envoy version. |

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