While Vertex AI handles managed services, many enterprises prefer deploying their own infrastructure using GKE (Google Kubernetes Engine).
GKE provides dynamic resource allocation, allowing you to scale GPU node pools up and down based on inference traffic. Frameworks like Ray on GKE allow you to distribute massive training jobs across hundreds of nodes seamlessly.