Google Cloud Tech
Scaling TPUs on GKE for Massive AI Workloads
GKE treats TPU slices as atomic units for seamless scaling up to 9k+ chips, with flexible capacity like DWS Flex/Calendar and custom fallbacks for cost-efficient ML training/inference.
GKE treats TPU slices as atomic units for seamless scaling up to 9k+ chips, with flexible capacity like DWS Flex/Calendar and custom fallbacks for cost-efficient ML training/inference.