Data and AI releases

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Granular feature access per resource group

UpdateVerified

Feature access can be controlled per resource group instead of only by organization role, for example leaving Jobs open, restricting Inference Endpoints to admins, and limiting blog publishing.

Observability

Read on huggingface.co

Also shipped Aug 12, 2026Hugging Face in August 2026 →

Glean connector in Lakeflow Connect (Beta)

You can now ingest data from Glean into Databricks using the managed Glean connector in Lakeflow Connect. The connector ingests company-wide usage insights for search, Assistant, and agents, along with the shortcuts (go links) defined in your Glean deployment, using a Glean Client API token. This feature is in Beta . See Glean connector .

Beta
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Granular Feature Access

Organizations can now control feature access per resource group rather than across the whole organization. This allows restricting features like Inference Endpoints to admins while leaving Jobs open to everyone.

GA
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Filter HF Jobs by label

Jobs can be filtered by label, with most-used labels shown as chips with job counts and a free-form key=value input, on user and organization jobs pages.

Update
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Filter Jobs by Label

Users can now filter Jobs by label on both user and organization jobs pages. Most-used labels appear as clickable chips with job counts, and a free-form key=value input allows filtering by any label.

GA
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Build Spaces with AI agents

The new Space creation page has an option to build with an AI agent: copy the generated command into your agent to build and iterate on a Space for a model, paper, or local folder.

Update
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