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Update articles/ai-foundry/concepts/architecture.md
Co-authored-by: Jon Burchel <[email protected]>
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articles/ai-foundry/concepts/architecture.md

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@@ -56,7 +56,7 @@ Azure AI Foundry applies a flexible compute architecture to support diverse [mod
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1. [Deployment to serverless API endpoints in Azure AI Hub resources](deployments-overview.md#serverless-api-endpoint)
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1. [Deployment to managed computes in Azure AI Hub resources](deployments-overview.md#managed-compute)
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For an overview of data, privacy and security considerations with these deployment options, see [Data, privacy, and security for use of models](../how-to/concept-data-privacy.md)
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For an overview of data, privacy, and security considerations with these deployment options, see [Data, privacy, and security for use of models](../how-to/concept-data-privacy.md)
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- **Workload Execution:** Agents, Evaluations, and Batch jobs are executed as managed container compute, fully managed by Microsoft.
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