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Azure ML & Cloud
Google Vertex AI
End-to-end ML on GCP with Gemini integration
What it is
Google Cloud's unified ML platform — training, prediction, AutoML Tables, BigQuery ML, Vector Search, plus first-class Gemini API access.
How Vaaani uses it
- Gemini 1.5 Pro for million-token context window
- BigQuery ML for SQL-native model training on warehouse data
- Vertex Vector Search for production semantic retrieval
- Pipelines for MLOps with Kubeflow under the hood
Why it makes the cut
When the customer's data already lives in BigQuery, training models inside the warehouse means zero data movement and faster iteration.
Sample code
from google.cloud import aiplatform aiplatform.init(project="vaaani", location="asia-south1") model = aiplatform.Model("projects/.../models/123") endpoint = model.deploy(machine_type="n1-standard-4")
Related in the Vaaani stack
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