Overview of Generative AI on Vertex AI

Build production-ready generative AI agents and applications using Vertex AI using Google's advanced models and infrastructure.

  • Build, deploy, and connect agents

    Build agents with an open approach and deploy them with enterprise-grade controls. Connect agents across your enterprise ecosystem.

  • Enterprise ready

    Deploy your generative AI agents and applications at scale with enterprise-grade security, data residency and privacy, access transparency, and low latency.

  • State-of-the-art features

    Expand the capabilities of your applications by using the 2 million token context window that Gemini supports, and the built-in multimodality and thinking capabilities from Gemini 2.5 models.

  • Open and flexible platform

    Vertex AI Model Garden provides a library of over 200 enterprise-ready models and Vertex AI Model Builder helps you test, customize, deploy, and monitor Google proprietary and select third-party models, including Anthropic's Claude 3.7 Sonnet, Meta's Llama 4, Mistral's AI Mixtral 8x7B, and AI21 Labs's Jamba 1.5.

Get started

Build using the SDK

Run example Jupyter notebooks

Best practices for prompt design

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Last updated 2025-06-27 UTC.