databricks Platform · Updated Jul 21, 2026

Google Gemini 3.5 Flash Lite

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

What it does

Databricks Model Serving now includes Google Gemini 3.5 Flash Lite as a hosted model, allowing users to access it via Foundation Model APIs. This integration supports various applications in machine learning and AI, providing a robust foundation for model deployment. Users can leverage the model's capabilities while ensuring compliance with applicable terms and policies.

Why it matters

This update enhances the capabilities of Databricks users by providing access to advanced AI models, which can improve the performance and accuracy of machine learning applications. Organizations can benefit from faster deployment of AI solutions, reduced operational overhead, and the ability to leverage cutting-edge technology for competitive advantage.

Key capabilities

Hosted Model Access

Users can access Google Gemini 3.5 Flash Lite directly through Databricks Model Serving.

Foundation Model APIs

The model can be utilized via Foundation Model APIs for various applications.

Compliance Responsibility

Customers must ensure compliance with applicable terms and use policies.

Architecture

Databricks Model Serving → Foundation Model APIs → Google Gemini 3.5 Flash Lite

In short

Google Gemini 3.5 Flash Lite is now available as a hosted model on Databricks.

Read the full documentation ↗

Key takeaway

The addition of Google Gemini 3.5 Flash Lite as a Databricks-hosted model empowers users with advanced AI capabilities for enhanced machine learning applications.

2026-07-21-google-gemini-3-5-flash-lite-now-available-as-a-databricks-hosted-model Generated by the Databricks Updates Agent · browse all updates