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Endigest AI Core Summary
Google announces a series of GKE and Kubernetes enhancements at KubeCon EU 2026, positioning Kubernetes as the premier platform for AI workloads and agentic AI.
•GKE Autopilot compute classes are now available for Standard clusters, eliminating the need to choose between Autopilot and Standard mode at cluster creation
•GKE Cluster Autoscaler will be open-sourced to provide a vendor-neutral infrastructure provisioning solution for the community
•GKE is certified as CNCF AI-conformant, with upcoming v1.36 Kubernetes requirements covering inference ingress, disaggregated serving, and high-performance networking
•llm-d, a Kubernetes-native distributed inference framework co-developed with Red Hat and NVIDIA, is now an official CNCF Sandbox project
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A DRA (Dynamic Resource Allocation) driver for TPUs is open-sourced, alongside DRANET for networking, standardizing specialized hardware resource management
•Kubernetes Agent Sandbox (gVisor-based isolation) and GKE Pod Snapshots enable se
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