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As a lead ML architect at a small company migrating from on-premises to Google Cloud with limited cloud infrastructure expertise, what is the most suitable Google Cloud service for serving models that is immediately available, scalable, reliable, and cost-effective, while requiring no additional infrastructure management?
A
Configure Compute Engine VMs to host your models.
B
Create a Cloud Run function to deploy your models as serverless functions.
C
Create a managed cluster on Google Kubernetes Engine (GKE), and deploy your models as containers.
D
Deploy your models on Vertex AI endpoints.