databricks Platform · Updated Jul 21, 2026

Google Gemini 3.6 Flash

Now available as a Databricks-hosted model for enhanced model serving.

What it does

Model Serving now includes Google Gemini 3.6 Flash as a Databricks-hosted model, allowing users to access this model through Foundation Model APIs. This integration supports various applications in machine learning and AI, enabling seamless deployment and management of the model within the Databricks environment. Users can leverage the capabilities of Gemini 3.6 Flash for tasks such as natural language processing and data analysis.

Why it matters

This update enhances the Databricks platform by providing access to advanced AI capabilities through Google Gemini 3.6 Flash, which can improve productivity and innovation in data-driven projects. Organizations can utilize this model to streamline workflows, reduce time-to-market for AI applications, and ensure compliance with usage policies, thereby mitigating risks associated with model deployment.

Key capabilities

Foundation Model APIs Access

Users can access Google Gemini 3.6 Flash via Foundation Model APIs for various AI applications.

Seamless Integration

The model is fully integrated into the Databricks environment for easy deployment and management.

Compliance Responsibility

Customers must ensure compliance with applicable terms and policies when using the model.

Architecture

Databricks Workspace → Model Serving → Foundation Model APIs

In short

Google Gemini 3.6 Flash is now available as a hosted model on Databricks.

Read the full documentation ↗

Key takeaway

Google Gemini 3.6 Flash is now accessible as a Databricks-hosted model, enhancing AI capabilities for users.

2026-07-21-google-gemini-3-6-flash-now-available-as-a-databricks-hosted-model Generated by the Databricks Updates Agent · browse all updates