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Vertex AI

Score8.6 out of 10

39 Reviews and Ratings

What is Vertex AI?

Vertex AI is a fully-managed, unified AI development platform for building and using generative AI. It includes access to AI Studio, Agent Builder, and 130+ foundation models including Gemini 1.5 Pro.


Gemini, Google’s most capable multimodal models

Vertex AI offers access to Gemini models from Google. Gemini is 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, 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.

In addition to Gemini, the service includes access to Gemma, a family of lightweight, open models built from the same research and technology used to create the Gemini models.


130+ generative AI models and tools

The service also offers access to models with first-party (Gemini, Imagen, Codey), third-party (Anthropic's Claude 3), and open models (Gemma, Llama 2) in Model Garden. Its extensions enable models to retrieve real-time information and trigger actions. Models can be customized to any use case with a variety of tuning options for Google's text, image, or code models. Generative AI models and fully managed tools help to prototype, customize, and integrate and deploy them into applications.


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 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 reduce training time and deploy models to production with any 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 collaborate across teams and improve models throughout the entire development life cycle—identify the best model for a use case with Vertex AI Evaluation, orchestrate workflows with Vertex AI Pipelines, manage any model with Model Registry, serve, share, and reuse ML features with Feature Store, and monitor models for input skew and drift.


Agent Builder

Vertex AI Agent Builder enables developers to build and deploy enterprise ready generative AI experiences. It provides the convenience of a no code agent builder console alongside grounding, orchestration and customization capabilities. With Vertex AI Agent Builder developers can create a range of generative AI agents and applications grounded in their organization’s data.

Videos

Screenshots

Screenshot of an introduction to generative AI on Vertex AI - Vertex AI Studio offers a Google Cloud console tool for rapidly prototyping and testing generative AI models.
Screenshot of gen AI for summarization, classification, and extraction - Text prompts can be created to handle any number of tasks with Vertex AI’s generative AI support. Some of the most common tasks are classification, summarization, and extraction. Vertex AI’s PaLM API for text can be used to design prompts with flexibility in terms of their structure and format.
Screenshot of Custom ML training overview and documentation - An overview of the custom training workflow in Vertex AI, the benefits of custom training, and the various training options that are available. This page also details every step involved in the ML training workflow from preparing data to predictions.
Screenshot of ML model training and creation -  A guide that shows how Vertex AI’s AutoML is used to create and train custom machine learning models with minimal effort and machine learning expertise.
Screenshot of deployment for batch or online predictions - When using a model to solve a real-world problem, the Vertex AI prediction service can be used for batch and online predictions.

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Screenshot of an introduction to generative AI on Vertex AI - Vertex AI Studio offers a Google Cloud console tool for rapidly prototyping and testing generative AI models.

Technical Details

Technical Details
Deployment TypesSaaS
Mobile ApplicationNo

FAQs

What is Vertex AI?
Vertex AI on Google Cloud is an MLOps solution, used to build, deploy, and scale machine learning (ML) models with fully managed ML tools for any use case.
What are Vertex AI's top competitors?
IBM Watson Studio on Cloud Pak for Data, Amazon SageMaker, and Azure Machine Learning are common alternatives for Vertex AI.