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.
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