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llm-d framework
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
|
March 25, 2026
|
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
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