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Kubernetes v1.35 ('Timbernetes') introduces several features that strengthen its role as the operational substrate for AI/ML workloads. Key changes include workload-aware scheduling with gang scheduling support (alpha) for distributed training, stable in-place Pod resource resize to reduce restart churn in inference services, continued Dynamic Resource Allocation (DRA) progress for GPU/accelerator orchestration, and KYAML as the new default kubectl output format for safer configuration workflows. The post also flags the Ingress NGINX retirement timeline (March 2026) as a planning item for operators, and frames these updates as Kubernetes absorbing more AI infrastructure complexity over time.

Kubernetes as AI’s operating system: 1.35 release signals

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