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articles/ai-services/openai/how-to/fine-tuning-deploy.md

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ms.date: 02/24/2025
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author: mrbullwinkle
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ms.author: mbullwin
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zone_pivot_groups: openai-fine-tuning
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# Deploy a finetuned model
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# Deploy a finetuned model for inferecing
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Once your model is fine-tuned, you can deploy the model and can use it in your own application.
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When you deploy the model, you make the model available for inferencing, and that incurs an hourly hosting charge. Fine-tuned models, however, can be stored in Azure AI Foundry at no cost until you're ready to use them.
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Azure OpenAI provides choices of deployment types for fine-tuned models on the hosting structure that fits different business and usage patterns: **Standard**, **Global Standard** (preview) and **Provisioned Managed** (preview). Learn more about [deployment types for fine-tuned models](#deployment-types) and the [concepts of all deployment types](./deployment-types.md).
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## Deploy your finetuned model
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## [Portal](#tab/portal)
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To deploy your custom model, select the custom model to deploy, and then select **Deploy**.

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