Google said its Gemini 2.5 Pro and Gemini 2.5 Flash now run natively in Databricks and can be run using SQL, Python and Databricks tools.
According to Google, Gemini models will run natively via an integration between the Databricks Intelligence Platform and Google Cloud's Vertex AI. The general idea is to run Gemini models where data resides. The companies announced a partnership in June.
Key points:
- Teams can apply Gemini models to their data with Batch Inference.
- Developers can build AI agents with Agent Bricks and connect them to private data.
- Use real-time APIs for high-intelligence models.
- Access Gemini models with compliance, governance and observability.
Google noted that Gemini models on Databricks via SQL or Python is designed to simplify the process for applying large language models (LLMs) to enterprise data. Use cases include automating tasks like contract analysis, parsing PDFs, summarizing transcripts and classifying images.
The Gemini offerings are generally available.
