Releasesby GlyphSend Hub feedback from the user menu
Users can share feedback on the Hub, including bug reports and feature suggestions, directly with the Hugging Face team from the user menu.
Also shipped Jun 26, 2026Hugging Face in June 2026 →
SQL queries as logical tables in semantic views (General availability)
You can now use an SQL query (rather than a physical table) as a logical table in a semantic view. This lets you define logical tables based on joins, transformations, or any SQL expression without creating a separate view first.
Support for variables in semantic views (General availability)
You can now define variables in a semantic view to parameterize facts, dimensions, and metrics. Variables let you customize calculations at query time without changing the view definition. Define variables when you create a semantic view using the VARIABLES clause in the CREATE SEMANTIC VIEW command, or by adding a variables key in the YAML specification .
Microsoft Dynamics 365 connector (GA)
The managed Microsoft Dynamics 365 connector in Lakeflow Connect is now generally available. The connector allows you to ingest CRM and ERP data from Dynamics 365 into Databricks using Azure Synapse Link. See Microsoft Dynamics 365 connector .
Metric view parameters are now in Public Preview
You can now define parameters in metric views to bind values at query time, serving many query variants from a single definition instead of maintaining a separate metric view per variant. See Use parameters with metric views .
Databricks Runtime 19 (Beta): June 26, 2026
Behavioral changes Environment variable availability restricted in standard access mode : In standard access mode , only a predefined set of environment variables is available to the Spark engine and init scripts.
Previewing GPT-5.6 Sol: a next-generation model
OpenAI previews GPT-5.6 Sol, a next-generation model with stronger capabilities in coding, science, and cybersecurity, paired with its most advanced safety stack.
More from Hugging Face HubEvery Hugging Face Hub release →
Filter Models page by hardware
A Hardware filter on the Models page shows models that fit a specific GPU, CPU, or Apple Silicon chip, set from Hardware settings and shareable via URL.
Fine-grained access token presets
Fine-grained tokens can be created from presets (Read-Only, Inference, Write, CI/CD, Full Access), and preset URLs link straight to a pre-configured token.
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.
Egress metrics for users and organizations
Users see egress usage in the dashboard and organizations get a per-user egress breakdown. It currently covers only traffic routed through the Hugging Face CDN.
Hugging Face MCP Server adds hf_fs tool
The Hugging Face MCP Server's new hf_fs tool provides a single interface to repositories, storage, documentation, papers and more, with search, in just over 1,000 tokens.
Sandboxes for the Hugging Face MCP Server
Sandboxes give an assistant secure execution environments attached to buckets and repositories for dataset analysis, model training, and Space creation.
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.
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.