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Google Kubernetes Engine announces new capabilities for large-scale AI and agentic workloads.
•GKE Agent Sandbox uses gVisor kernel isolation for secure agent infrastructure, achieving 300 sandboxes per second at sub-second latency and 30% better price-performance on Axion
•GKE hypercluster reaches private GA with a single control plane managing millions of chips across 256,000 nodes and multiple regions, with hardware-attested pod-level isolation via Titanium Intelligence Enclave
•Inference performance improvements include ML-driven Predictive Latency Boost reducing time-to-first-token latency by up to 70% and automatic KV Cache storage tiering across RAM, Local SSD, and GCS/Lustre
•Reinforcement learning enhancements in preview include RL Scheduler for throughput optimization, RL Sandbox for millisecond-scale isolation, and observability dashboards
•Intent-based autoscaling sources metrics directly from Pods, reducing reaction times from 25 to 5 seconds without external dependen
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Hugging Face