Professional Cloud DevOps Engineer
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An AI platform engineering team is designing a provisioning workflow on Google Kubernetes Engine (GKE) for large-scale, distributed training jobs that require multi-host TPU/GPU slices. The workload has the following operational requirements and constraints:
Which accelerator provisioning strategy should the team implement?
Dynamic Workload Scheduler (DWS) in Flex-start mode is a capacity provisioning mechanism designed specifically for AI/ML and batch computing workloads requiring scarce accelerators like GPUs and TPUs. Instead of failing immediately when resources are temporarily constrained, DWS queues resource requests and provisions the entire requested capacity simultaneously once available.
DWS Flex-start perfectly balances cost efficiency, batch queuing, and run stability, making it the recommended GCP architecture for high-performance accelerator workloads that need uninterrupted multi-day runs without fixed multi-year reservations.
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