Google Vertex AI is a managed machine learning platform provided by Google Cloud that enables users to build, deploy, and scale machine learning models. It is designed to streamline the development and deployment of ML models. Vertex AI combines Google Cloud’s powerful services into a unified environment.
Google Vertex AI provides the following key features:
•Provides a single interface to manage all stages of the ML workflow, including data preprocessing, model training, verification, deployment, and monitoring.
•Includes access to pre-trained APIs for common tasks, such as image analysis and text processing.
•Supports custom model development using frameworks, such as TensorFlow, PyTorch, and Scikit-learn. It simplifies the training process with a managed infrastructure.
•Offers tools for managing model operations (MLOps) to automate and streamline the deployment, scaling, and maintenance of models.
•Vertex AI's AutoML feature automates the model training process, enabling users with minimal ML expertise to build models effectively.
•Provides scalable compute resources, allowing models to be trained and deployed on an infrastructure that automatically scales according to demand.
•Simplifies versioning, deployment, and monitoring of models, ensuring that they perform as expected in production environments.
•Offers tools to understand model predictions and eliminate possible issues.
•Integrates with other Google Cloud services and supports collaboration.