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Google Vertex AI Platform

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cloud.google.com·cloud.google.com/vertex-ai

Vertex AI is a major commercial AI deployment platform relevant to AI safety discussions around responsible deployment, evaluation standards, and the infrastructure through which frontier models like Gemini and Claude are accessed at enterprise scale.

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Summary

Vertex AI is Google Cloud's fully-managed enterprise AI development platform offering access to Gemini models, 200+ foundation models, and tools for building, training, tuning, and deploying generative AI applications. It integrates first-party models (Gemini, Imagen), third-party models (Anthropic Claude), and open models (Llama, Gemma) in a unified environment. The platform includes evaluation services, agent-building tools, and enterprise-grade infrastructure.

Key Points

  • Provides access to 200+ AI models including Gemini, Claude, Llama 3.2, and Gemma through a unified Model Garden interface
  • Includes enterprise-grade Gen AI evaluation service for objective, data-driven assessment of generative AI models
  • Supports full ML lifecycle: training, tuning, deployment, and monitoring on a single managed platform
  • Integrated with BigQuery and Google Cloud infrastructure for unified data and AI development workflows
  • Enables agent-building capabilities with real-time information retrieval and action-triggering extensions

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AI ProliferationRisk60.0

Cached Content Preview

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[**Try Gemini 3**, our best model for reasoning, coding, and multimodal understanding in Vertex AI](https://console.cloud.google.com/freetrial/?redirectPath=/vertex-ai/studio/multimodal)

![Vertex AI](https://www.gstatic.com/bricks/image/cf69f322-f5ae-4d81-80e4-3dd008aca174.svg)

# Vertex AI Platform

## Innovate faster with enterprise-ready AI, enhanced by Gemini models

Vertex AI is a fully-managed, unified AI development platform for building and using generative AI. Access and utilize [Vertex AI Studio](https://cloud.google.com/generative-ai-studio), [Agent Builder,](https://cloud.google.com/products/agent-builder/) and 200+ foundation models.

**New customers get up to $300 in free credits** to try Vertex AI and other Google Cloud products.

Try Vertex AI free [Try Vertex AI free](https://console.cloud.google.com/vertex-ai/generative/multimodal/create/text)

Contact sales [Contact sales](https://cloud.google.com/contact)

### Product highlights

- [Build generative AI apps quickly with Gemini](https://cloud.google.com/vertex-ai#common-uses)
- [Train, test, and tune ML models on a single platform](https://cloud.google.com/vertex-ai#how-it-works)
- [Accelerate development with unified data and AI](https://cloud.google.com/vertex-ai#features)

* * *

- [![Gemini icon](https://www.gstatic.com/bricks/image/2749e067-d58f-40af-ac4e-a26164b2eab4.png)\\
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Start building with Nano Banana Pro (Gemini 3 Pro Image) in the Gemini API today\\
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Try it in Vertex AI](https://console.cloud.google.com/vertex-ai/studio/multimodal?mode=prompt&model=gemini-3-pro-image-preview)

Features

### Gemini, Google’s most capable multimodal models

Vertex AI offers access to the latest [Gemini models](https://docs.cloud.google.com/vertex-ai/generative-ai/docs/models#gemini-models) from Google, including Gemini 3. Gemini is capable of understanding virtually any input, combining different types of information, and generating almost any output. Prompt and test Gemini in [Vertex AI Studio](https://console.cloud.google.com/vertex-ai/studio/freeform), using text, images, video, or code. Using Gemini’s advanced reasoning and state-of-the-art generation capabilities, developers can try sample prompts for extracting text from images, converting image text to JSON, and even generate answers about uploaded images to build next-gen AI applications.

[![Gemini API benefits ](https://www.gstatic.com/bricks/image/bcaf9129-977f-411f-9fa1-7fd9ef168537.png)\\
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How to use the Gemini APIs: Advanced techniques\\
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3:44](https://www.youtube.com/watch?v=Y10WeRIDKiw)

### 200+ generative AI models and tools

Choose from the widest variety of models with first-party (Gemini, Imagen, Chirp, Veo), third-party (Anthropic's Claude Model Family), and open models ( [Gemma](https://cloud.google.com/vertex-ai/generative-ai/docs/open-models/use-gemma), Llama 3.2) in [Model Garden](https://console.cloud.google.com/vertex-ai/model-garden). Use extensions to enable models to retrieve real-time informat

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