workload-aware scheduling
Kubernetes v1.36 Promotes Stability, Compatibility & Reproducibility
Kubernetes v1.36 (Spring 2026) introduces 70 enhancements, including major security hardening for the Kubelet API and the debut of Workload-Aware Scheduling (WAS) for AI/ML. This release focuses on fine-grained resource health, stable ...
Adrian Bridgwater | | AI/ML Infrastructure, CI/CD, cloud native security, cloud-native applications, Cluster Hardening, container security, containers, CSI Token Redaction, developers, Distributed Training, DRA, Dynamic Resource Allocation, External Token Signing, Gang Scheduling, K8s v1.36, Kubelet API Authorization, kubernetes, Kubernetes Enhancements 2026., Kubernetes v1.36, microservices, Node Logs, open source, PodGroup API, Resource Health Status, storage, Volume Group Snapshots, WAS, workload-aware scheduling
CNCF Expands Efforts to Run AI Inference Workloads on Kubernetes Clusters
CNCF and Red Hat unveil major AI milestones at KubeCon Europe 2026, including the llm-d framework contribution and stricter Kubernetes AI Requirements (KARs). Learn how v1.35 benchmarks like in-place pod resizing and ...
Mike Vizard | | AI agentic workloads, AICR, CNCF KubeCon Europe 2026, distributed AI inference, edge AI inference, in-place pod resizing, Jonathan Bryce CNCF, KAR v1.35, KRO project, Kube Resource Orchestrator, Kubernetes AI Conformance Program, Kubernetes AI Requirements, Kueue job queueing, llm-d framework, NVIDIA AI Cluster Runtime, PyTorch Foundation, Red Hat AI, Sovereign AI standards, vLLM extension, workload-aware scheduling

