Vertex AI by Google Cloud
Vertex AI is a unified machine learning platform from Google Cloud that enables teams to build, deploy, and scale ML models efficiently. It supports both AutoML and custom model development, offering end-to-end MLOps tooling, enterprise-grade infrastructure, and seamless integration with popular ML frameworks like TensorFlow and PyTorch.
Key Features
AutoML & Custom Training: Choose between no-code model training or fully customized pipelines.
End-to-End MLOps: Manage datasets, pipelines, model training, deployment, monitoring, and governance in one place.
Data & Feature Engineering: Built-in tools for data labeling, transformation, and feature store management.
Framework Flexibility: Native support for TensorFlow, PyTorch, scikit-learn, XGBoost, and more.
Scalability & Integration: Leverages Google Cloud infrastructure and integrates with BigQuery, Cloud Storage, and more.
Example Use Cases
Training scalable ML models in the cloud using enterprise infrastructure
Deploying real-time inference APIs in production with monitoring and rollback
Automating model experimentation with reproducible pipelines
Using AutoML for tabular, image, text, and video classification tasks