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Copy file name to clipboardExpand all lines: articles/ai-foundry/how-to/fine-tune-managed-compute.md
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@@ -5,7 +5,7 @@ description: Learn how to fine-tune models using a managed compute with Azure AI
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manager: scottpolly
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ms.service: azure-ai-foundry
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ms.topic: how-to
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ms.date: 11/22/2024
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ms.date: 04/25/2025
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ms.reviewer: vkann
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reviewer: kvijaykannan
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ms.author: mopeakande
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## Related Contents
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-[Fine-tune models with Azure AI Foundry](../concepts/fine-tuning-overview.md)
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-[How to use Phi-3 family chat models](deploy-models-phi-3.md)
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-[How to generate chat completions with Azure AI model inference](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context)
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-[Featured models of Azure AI Foundry](../concepts/models-featured.md)
* USGov DataZone provides access to the model from both usgovarizona and usgovvirginia.
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* Data stored at rest remains in the designated Azure region of the resource.
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* Data may be processed for inferencing in either of the two Azure Government regions.
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SKU name in code: DataZoneStandard
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Data zone standard deployments are available in the same Azure OpenAI resource as all other Azure OpenAI deployment types but allow you to leverage Azure global infrastructure to dynamically route traffic to the data center within the Microsoft defined data zone with the best availability for each request. Data zone standard provides higher default quotas than our Azure geography-based deployment types.
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To request quota increases for these models, submit a request at [https://aka.ms/AOAIGovQuota](https://aka.ms/AOAIGovQuota). Note the following maximum quota limits allowed via that form:
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