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Small Enterprise Hub updates (#1752)
* Resource group mapping Goes with: https://huggingface.co/datasets/huggingface/documentation-images/discussions/491 * Small storage regions tweaks See https://huggingface.co/datasets/huggingface/documentation-images/discussions/492 * Replace A100 with H200 in ZeroGPU See https://huggingface.co/datasets/huggingface/documentation-images/discussions/493 * Dataset Viewer -> Data Studio * Minor tweaks * Fix A100 -> H200 in Academia Hub * Apply suggestions from code review Co-authored-by: Merve Noyan <[email protected]> --------- Co-authored-by: Merve Noyan <[email protected]>
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docs/hub/_toctree.yml

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- local: storage-regions
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title: Storage Regions
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- local: enterprise-hub-datasets
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title: Dataset viewer for Private datasets
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title: Data Studio for Private datasets
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- local: enterprise-hub-resource-groups
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title: Resource Groups (Access Control)
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- local: advanced-compute-options

docs/hub/academia-hub.md

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Key Features of Academia Hub:
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- **ZeroGPU:** Get 5x usage quota and highest GPU queue priority.
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- **Spaces Hosting:** Create ZeroGPU Spaces with A100 hardware.
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- **Spaces Hosting:** Create ZeroGPU Spaces with H200 hardware.
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- **Spaces Dev Mode:** Fast iterations via SSH/VS Code for Spaces.
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- **Inference Providers:** Get monthly included credits across all Inference Providers.
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- **Dataset Viewer:** Activate it on private datasets.

docs/hub/advanced-compute-options.md

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## Host ZeroGPU Spaces in your organization
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ZeroGPU is a dynamic GPU allocation system that optimizes AI deployment on Hugging Face Spaces. By automatically allocating and releasing NVIDIA A100 GPUs (40GB VRAM) as needed, organizations can efficiently serve their AI applications without dedicated GPU instances.
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ZeroGPU is a dynamic GPU allocation system that optimizes AI deployment on Hugging Face Spaces. By automatically allocating and releasing NVIDIA H200 GPU slices (70GB VRAM) as needed, organizations can efficiently serve their AI applications without dedicated GPU instances.
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<div class="flex justify-center" style="max-width: 550px">
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<img
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**Key benefits for organizations**
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- **Free GPU Access**: Access powerful NVIDIA A100 GPUs at no additional cost through dynamic allocation
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- **Free GPU Access**: Access powerful NVIDIA H200 GPUs at no additional cost through dynamic allocation
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- **Enhanced Resource Management**: Host up to 50 ZeroGPU Spaces for efficient team-wide AI deployment
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- **Simplified Deployment**: Easy integration with PyTorch-based models, Gradio apps, and other Hugging Face libraries
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- **Enterprise-Grade Infrastructure**: Access to high-performance NVIDIA A100 GPUs with 40GB VRAM per workload
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- **Enterprise-Grade Infrastructure**: Access to high-performance NVIDIA H200 GPUs with 70GB VRAM per workload
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[Learn more about ZeroGPU →](https://huggingface.co/docs/hub/spaces-zerogpu)

docs/hub/enterprise-hub-analytics.md

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### Response Structure
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The CSV file is made of daily download records for each of your model and dataset.
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The CSV file is made of daily download records for each of your models and datasets.
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```csv
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repoType,repoName,total,timestamp,downloads

docs/hub/enterprise-hub-datasets.md

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This feature is part of the <a href="https://huggingface.co/enterprise">Enterprise Hub</a>.
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</Tip>
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The Dataset Viewer is enabled on private datasets owned by an Enterprise Hub organization.
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Data Studio is enabled on private datasets under your Enterprise Hub organization.
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The Dataset Viewer allows teams to understand their data and to help them build better data processing and filtering for AI. The Viewer allows to explore the datasets content, inspect data distributions, filter by values and even search for keywords. It also includes the datasets conversion to Parquet which can be used for programmatic data visualization.
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Data Studio allows teams to understand their data and to help them build better data processing and filtering for AI. This powerful viewer allows you to explore dataset content, inspect data distributions, filter by values, search for keywords, or even run SQL queries on your data without leaving your browser.
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[More information about the Dataset Viewer →](./datasets-viewer)
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More information about [Data Studio](./datasets-viewer).
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<div class="flex justify-center">
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<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/private-dataset-viewer.png" alt="screenshot of the Dataset Viewer on a private dataset owned by an Enterprise Hub organization."/>
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<img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/private-dataset-viewer-dark.png" alt="screenshot of the Dataset Viewer on a private dataset owned by an Enterprise Hub organization."/>
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<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/private-dataset-viewer.png" alt="screenshot of Data Studio on a private dataset owned by an Enterprise Hub organization."/>
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<img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/private-dataset-viewer-dark.png" alt="screenshot of Data Studio on a private dataset owned by an Enterprise Hub organization."/>
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</div>

docs/hub/security-resource-groups.md

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## How does it work?
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Resource Groups allow organizations administrators to group related repositories together, and manage access to those repos.
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Resource Groups allow different teams to work on their respective repositories within the same organization.
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Resource Groups allow organization administrators to group related repositories together, allowing different teams in your organization to work on independent sets of repositories.
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A repository can belong to only one Resource Group.
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docs/hub/security-sso.md

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Single Sign-On only applies to your organization. Members may belong to other organizations on Hugging Face.
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We support [role mapping](#role-mapping): you can automatically assign [roles](./organizations-security#access-control-in-organizations) to organization members based on attributes provided by your Identity Provider.
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We support [role mapping](#role-mapping) and [resource group mapping](#resource-group-mapping). Based on attributes provided by your Identity Provider, you can dynamically assign [roles](./organizations-security#access-control-in-organizations) to organization members, or give them access to [resource groups](./enterprise-hub-resource-groups) defined in your organization.
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### Supported Identity Providers
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Role synchronization is performed on login.
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#### Resource Group Mapping
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When enabled, Resource Group Mapping allows you to dynamically assign members to [resource groups](./enterprise-hub-resource-groups) in your organization, based on data provided by your Identity Provider.
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<div class="flex justify-center">
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<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/enterprise/resource-group-mapping.png"/>
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<img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/enterprise/resource-group-mapping-dark.png"/>
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</div>
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- IdP Attribute Path
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A JSON path to an attribute in your user's IdP profile data.
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- Resource Group Mapping
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A mapping from the IdP attribute value to a resource group in your Hugging Face organization.
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If there is no match, the user will not be assigned to any resource group.
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#### Matching email domains
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When enabled, Matching email domains only allow organization members to complete SSO if the email provided by your identity provider matches one of their emails on Hugging Face.

docs/hub/storage-regions.md

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- An audit of your organization's repository locations
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- Options to select where new repositories will be stored
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<Tip>
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Some [advanced compute options](./advanced-compute-options) for Spaces, such as ZeroGPU, may not be available in all regions.
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</Tip>
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## Repository Tag
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Any repository (model or dataset) stored in a non-default location displays its Region as a tag, allowing organization members to quickly identify repository locations.
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Both Spaces's storage and runtime use the chosen region.
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Available hardware configurations vary by region, and some features may not be avaialble in all regions, like persistent storage associated to a Space.
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Available hardware configurations vary by region, and some features may not be available in all regions, like persistent storage associated to a Space.

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