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Merge pull request #284999 from Blackmist/284260-uuf
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.openpublishing.redirection.json

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{
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"redirections": [
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{
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"source_path": "articles/ai-studio/how-to/commitment-tier.md",
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"redirect_url": "/azure/ai-services/commitment-tier.md",
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"redirect_document_id": false
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},
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{
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"source_path": "articles/storage/files/files-samples-dotnet-v11.md",
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"redirect_url": "/previous-versions/azure/storage/files/files-samples-dotnet-v11",

articles/ai-studio/concepts/architecture.md

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- **AI Studio hub**: The hub is the top-level resource in AI Studio. The Azure resource provider for a hub is `Microsoft.MachineLearningServices/workspaces`, and the kind of resource is `Hub`. It provides the following features:
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- Security configuration including a managed network that spans projects and model endpoints.
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- Compute resources for interactive development, finetuning, open source, and serverless model deployments.
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- Compute resources for interactive development, fine-tuning, open source, and serverless model deployments.
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- Connections to other Azure services such as Azure OpenAI, Azure AI services, and Azure AI Search. Hub-scoped connections are shared with projects created from the hub.
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- Project management. A hub can have multiple child projects.
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- An associated Azure storage account for data upload and artifact storage.
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For more information on price and quota, use the following articles:
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- [Plan and manage costs](../how-to/costs-plan-manage.md)
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- [Commitment tier pricing](../how-to/commitment-tier.md)
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- [Quota management](../how-to/quota.md)
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## Next steps

articles/ai-studio/how-to/commitment-tier.md

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articles/ai-studio/toc.yml

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href: how-to/quota.md
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- name: Increase rate limit
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href: how-to/autoscale.md
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- name: Use commitment tier pricing
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href: how-to/commitment-tier.md
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- name: Infrastructure & security
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items:
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- name: Identity & access management

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