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Google Cloud makes GKE dynamic slicing generally available today to improve AI workload resilience and efficiency. The feature reduces startup times by up to 5x and recovery by 4.5x by decoupling logical TPU slice formation from physical nodepool provisioning. It supports topologies ranging from 8,000-chip single slices to multi-slices of multiple thousands of chips for large-scale training.
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