GCP Vertex AI ML Pipeline

GCPArchitecture
GCP Vertex AI ML Pipeline — GCP architecture diagram

About This Architecture

End-to-end machine learning pipeline with Cloud Storage and BigQuery for training data, Data Labeling Service for annotation, Vertex AI Training and AutoML for model development, Model Registry for versioning, Vertex AI Endpoints for serving, and Cloud Functions for the inference API.

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End-to-end machine learning pipeline with Cloud Storage and BigQuery for training data, Data Labeling Service for annotation, Vertex AI Training and AutoML for model development, Model Registry for versioning, Vertex AI Endpoints for serving, and Cloud Functions for the inference API.

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About This Architecture

End-to-end machine learning pipeline with Cloud Storage and BigQuery for training data, Data Labeling Service for annotation, Vertex AI Training and AutoML for model development, Model Registry for versioning, Vertex AI Endpoints for serving, and Cloud Functions for the inference API.

GCP Vertex AI ML Pipeline

GCPCurated TemplateData Pipeline
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Created by

February 8, 2026

Updated

April 30, 2026 at 1:16 AM

Type

architecture

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