Vertex AI unifies AI tools, Gemini models, and MLOps in one platform to help you build, deploy, and manage AI at scale.
Vertex AI is a fully managed AI development platform from Google Cloud. It simplifies the process of building, deploying, and scaling machine learning and generative AI models. The platform offers a unified environment that includes powerful tools like Vertex AI Studio for prototyping, Agent Builder for no-code agent design, and Model Garden, which provides over 200 pre-trained models.
Vertex AI accelerates the adoption of AI by providing access to Google's most advanced Gemini models and integrating seamlessly with the broader Google Cloud ecosystem. It is an excellent choice for organizations of all sizes because it offers enterprise-grade scalability, built-in monitoring, and strong governance features, enabling them to operationalize AI with confidence.
Vertex AI is Google Cloud's fully managed, unified platform for generative AI and machine learning. It integrates tools like Vertex AI Studio, Agent Builder, and access to over 200 foundation models, including Gemini, within a single environment. Additionally, new users receive up to $300 in free credits to explore the platform.
New customers are eligible for up to $300 in free Google Cloud credits valid for 90 days, which can be used to explore Vertex AI tools, including Media Studio and the Veo models.
Express mode lets you prototype using Vertex AI Studio with API-key–based access. It's ideal for prompt testing and development without requiring a billing setup.
Vertex AI includes managed containers for frameworks like PyTorch, TensorFlow, scikit-learn, and XGBoost. Support for those frameworks is covered under Vertex AI’s SLA, but for framework-specific issues (e.g., bugs), it’s recommended to use each respective framework’s support channels.
Vertex AI includes multimodal models such as Gemini (text, image, video, and code), Imagen (visual generation), MedLM (medical query support), and the latest video generation models, including Veo 3 and Veo 3 Fast.
Model Garden is a repository offering over 200 foundation models, proprietary, third-party, and open source (e.g., Claude 3.7 Sonnet, Llama 4, Mistral 8×7B) that can be discovered, fine-tuned, and deployed.
Yes. You can use Vertex AI Search to perform retrieval-augmented generation (RAG), grounding responses to your documents. Up to 10 data sources can be used, and the system supports both internal and Google Search grounding, with metadata and confidence scores included.
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Build, deploy, and scale generative AI and machine learning models with Google Cloud’s unified Vertex AI platform.
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