Google Vertex AI

Google Vertex AI

MLOps & model serving on GCP

0 case studies
1 specialists
4 specialists
General Infrastructure

What it's used for

Managing the full ML lifecycle on Google Cloud, from data labeling and training to model registry and serving endpoints. It's also the primary way to access Google's foundation models (Gemini, PaLM) via API and fine-tune them on custom data within GCP.

Getting started

Enable the Vertex AI API in your GCP project from the Google Cloud Console. Install the google-cloud-aiplatform Python SDK and authenticate with gcloud auth. You'll need a GCP project with billing enabled and appropriate IAM roles for Vertex AI resources.

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