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Google Vertex AI Platform
webcloud.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
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| AI Proliferation | Risk | 60.0 |
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Vertex AI Platform | Google Cloud Try Gemini 3 , our best model for reasoning, coding, and multimodal understanding in Vertex AI
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 , 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 Contact sales Product highlights
Build generative AI apps quickly with Gemini
Train, test, and tune ML models on a single platform
Accelerate development with unified data and AI
Start building with Nano Banana Pro (Gemini 3 Pro Image) in the Gemini API today
Try it in Vertex AI
Features
Gemini, Google’s most capable multimodal models
Vertex AI offers access to the latest 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 , 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.
How to use the Gemini APIs: Advanced techniques 3:44
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 , Llama 3.2) in Model Garden . Use extensions to enable models to retrieve real-time information and trigger actions. You can also customize models to your use case with a variety of tuning options .
Our Gen AI evaluation service provides enterprise-grade tools for objective, data-driven assessment of generative AI models.
Quickstart: Get started with Gemini 3 Open and integrated AI platform
Data scientists can move faster with Vertex AI Platform's tools for training, tuning, and deploying ML models.
Vertex AI notebooks , including your choice of Colab Enterprise or Workbench, are natively integrated with BigQuery providing a single surface across all data and AI workloads.
Vertex AI Training and Prediction help you reduce training time and deploy models to production easily with your choice of open source frameworks and optimized AI infrastructure .
MLOps for predictive and generative AI
Vertex AI Platform provides purpose-built MLOps tools for data scientists and ML engineers to automate, standardize, and manage ML projects.
Modular tools help you collaborate across teams and improve models throughout the entire development lifecycle—identify the best model for a use case with Vertex AI Evaluation , orchestrate workflows with Vertex AI Pipelines , manage any mod
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