Vertex AI Studio
Redesigned Vertex AI Studio: Your one-stop shop for generative AI media models in all modalities
More than 200 sophisticated foundation models, including the most recent Google Gemini models and third-party partner models like Meta’s Llama and Anthropic’s Claude, are easily customizable and experimented with using Google Cloud’s Vertex AI platform. It is now even more effective and user-friendly as a result of a significant update that was centered on developer input.
You may find generative AI media models in all modalities through the revamped, developer-first UX. The Vertex AI Media Studio will give you access to Google’s potent generative AI media models, including Veo, Imagen, Chirp, and Lyria. These aren’t merely aesthetic adjustments; they have a direct impact on five workflow advantages, ranging from quicker prototyping to more experimentation:
- Keep up to date: As soon as Google releases its newest AI models and features, get your hands dirty.
- Cloud AI is easier to start with: Developers of all skill levels may now more easily begin using generative AI to the redesigned architecture.
- Rapid idea testing, rapid iteration, and application prototyping are all examples of accelerated prototyping.
- Integrated end-to-end workflow: With just a few clicks, you can effortlessly go from ideation and prompting to grounding, tuning, code creation, and even test deployment all in one seamless environment! More building, less tool-switching!
- Effective experimentation: Vertex AI Studio offers a space for experimenting with various models, settings, and prompting strategies.
What’s new and how it works for you
Google Cloud learned that you needed features that would allow you to experiment, refine, and increase your output. For this reason, it are simplifying and enhancing things in three ways: a new interface, simpler building methods, and quicker prompting.
Improved prompting abilities:
- Quicker prompting: Receive prompting more quickly. Our updated overview offers easy access to tools and samples, along with a single user interface that combines Freeform prompting with Chat for a more efficient workflow.
- Improving prompt quality and capabilities through methods like variables, function calling, and adding examples, while also streamlining your prompt engineering by making it easier to manage the lifecycle (create, refine, compare, store, and track history).
- In order to maximize model performance, integrated quick engineering provides access to tuning, evaluation, and batch prediction.
Better methods for constructing
- Build with Gemini: Get the most recent Gemini models, like Gemini 2.5, then try them out to see whether they work.
- Text production.
- Creation of images.
- Production of audio.
- Capabilities in multiple modes.
- And the Live API in the Studio itself.
Easily link models to current, real-world data or your personal information to establish confidence with grounded AI. It’s easier than ever to get started with Google Maps or Search. Do you require specialized knowledge? Use Vertex AI Search or Vertex AI RAG Engine to easily integrate with your data. This significantly increases the model outputs’ factual accuracy and dependability, enabling you to create apps that people can rely on.
Get sample code in Python, Android, Swift, Web, Flutter, and cUrl, along with direct integration to launch Python in Colab Enterprise, for code creation and app deployment. For rapid proof-of-concept verification, the prompt can also be made available as a test web application.
Newer interface
It’s dark mode now: You may now enjoy dark mode throughout the Vertex AI platform for better visual comfort and attention, as many developers prefer darker interfaces for longer sessions. You may easily activate it in the user preferences of your Cloud profile.
Start using Vertex AI right now
Google Cloud constantly upgrades Vertex AI Studio based on your feedback, which you can submit directly in the console, allowing you to create future AI applications.
In conclusion
Vertex AI Studio has been redesigned as a platform that provides third-party alternatives and access to a variety of generative AI models, such as Google’s Gemini. Motivated by user input, the significant update prioritizes a developer-first experience with improved interface, easier model development, and faster prompting capabilities. Accelerated prototyping, integrated workflows, and effective experimentation are among the key advantages emphasized, with the goal of enhancing the productivity and usability of generative Artificial Intelligence development.