Vertex AI Studio
Test, tune and deploy enterprise-ready generative AI
Vertex AI provides APIs for leading foundation models, and tools to rapidly prototype, easily tune models with your own data, and seamlessly deploy to applications.
New customers can try generative AI for free for 90 days.
Features
Gemini, Google’s most capable multimodal models
Vertex AI offers access to Gemini multimodal models from Google, capable of understanding virtually any input, combining different types of information, and generating almost any output. Prompt and test in Vertex AI with Gemini, using text, video, code, audio, or images. 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.
Access to Foundation Models and APIs
Choose the right model for your use case with 40+ proprietary models and 80+ OSS and 3rd party models on Vertex AI's Model Garden. With access to Google's foundation models as APIs, you can easily deploy these models to applications.
In addition to Gemini, you also have access to Gemma, a family of lightweight, state-of-the-art open models built from the same research and technology used to create the Gemini models. Select from Google Research like PaLM 2, Imagen, Codey, and Gemma, and other models like Llama 2 and Claude 2.
Experiment and test models with prompt design
Adapt models to your use case with prompt design. Iterate on the prompt through a familiar chat interface and choose from multiple ways to adjust responses. For example, you can change the response "temperature" to elicit a more creative response.
Easily tune the model with your own data
Improve the quality of model responses for your use case by tuning foundation models with your own data with Vertex AI Studio (formally known as Generative AI Studio).
Access state-of-the-art tuning options like adapter tuning and Reinforcement Learning from Human Feedback (RLHF) or style and subject tuning for image generation.
Connect models to real-world data and real-time actions
Vertex AI Extensions provides a set of fully-managed tools for building and managing extensions that connect models to proprietary data sources or 3rd party services. Now developers can create generative AI applications that deliver real-time information, incorporate company data, and take action on the user's behalf.
Integration with end-to-end ML tools
Vertex AI's managed endpoints make it easy to build generative capabilities into an application, with only a few lines of code and no ML background required. Developers can forget about the complexities of provisioning storage and compute resources, or of optimizing the model for inference.
Once deployed, foundation models can be scaled, managed, and governed in production using Vertex AI’s end-to-end MLOps capabilities and fully managed AI infrastructure.
Enterprise-grade data governance and security
With Vertex AI, your data is completely protected, secure, and private when using it to customize a model, and you have full control over where and how or if their data is used. None of the customer’s data, model weights, or input prompts are used to tune the original foundation models. When enterprises tune a model with their own data, the original model remains unchanged, and the new model never leaves your company’s environment.
How It Works
Vertex AI Studio is a Google Cloud console tool for rapidly prototyping and testing generative AI models. You can test sample prompts, design your own prompts, and customize foundation models to handle tasks that meet your application's needs.
Get started in Vertex AI Studio with our no cost introductory training. In this course, you learn what Vertex AI Studio is, its features and options, and how to use it by walking through demos of the product.
Vertex AI Studio is a Google Cloud console tool for rapidly prototyping and testing generative AI models. You can test sample prompts, design your own prompts, and customize foundation models to handle tasks that meet your application's needs.
Get started in Vertex AI Studio with our no cost introductory training. In this course, you learn what Vertex AI Studio is, its features and options, and how to use it by walking through demos of the product.
Common Uses
Build with Gemini
Get started with Google's multimodal models
Get started with Google's multimodal models
Prompt and test in Vertex AI with Gemini, using natural language, code, or an image. Try sample prompts for extracting text from images, image mock up to HTML, and even generate answers about uploaded images.
Tutorials, quickstarts, & labs
Get started with Google's multimodal models
Get started with Google's multimodal models
Prompt and test in Vertex AI with Gemini, using natural language, code, or an image. Try sample prompts for extracting text from images, image mock up to HTML, and even generate answers about uploaded images.
Imagen: Generate and customize images
Studio-grade images at scale for any business need
Learning resources
Studio-grade images at scale for any business need
Chirp: Universal speech model
Speech tasks ranging from voice control to voice assistance
Learning resources
Speech tasks ranging from voice control to voice assistance
Codey: Code completion and generation
Drive developer productivity with code assistance
Learning resources
Drive developer productivity with code assistance
Pricing
| Vertex AI | Pricing for generative AI varies by foundation models and APIs. |
|---|---|
| Service | Pricing |
Vertex AI | Learn more about generative AI on Vertex AI pricing. |
Vertex AI
Pricing for generative AI varies by foundation models and APIs.