Whether you are modernizing mission-critical workloads or launching your first fleet of AI agents, the goal remains the same: extracting maximum value from your proprietary data with zero friction. By combining the Databricks Platform with Google Cloud’s world-class infrastructure, we are helping enterprises move from "experimenting with AI" to "running an AI-driven business."

In 2025, Databricks became a first-party provider of Gemini Models, one of only two places where Gemini model APIs are available outside of Vertex. By distributing Google’s frontier model natively in the Databricks platform, customers across all 3 Databricks clouds can securely build, customize and deploy agentic AI on governed enterprise data without ever moving data or managing infrastructure. By offering direct API access to Gemini models, Databricks users have full control of the end-to-end AI lifecycle—from data preparation to production inference.

Since launch, Gemini models on Databricks have seen rapid enterprise adoption, with over 55% quarter-over-quarter growth and strong demand to power diverse use cases including code generation, data analysis, knowledge management, customer support, content creation, and industry-specific workflows. To accelerate this momentum, Databricks and Google teams will work together to deliver joint customer workshops and solution design sessions to drive measurable AI impact.

Enterprises are no longer asking if they should adopt AI, but how fast they can move it into production. By unifying data on Google Cloud’s infrastructure with Databricks’ intelligence layer, our customers are seeing tangible improvements in speed-to-market and operational efficiency.