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KubeFleet / Azure Kubernetes Fleet Manager demos: Dynamo inference, Kargo promotions, Kubeflow training

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Fleet examples

Demos of KubeFleet and Azure Kubernetes Fleet Manager doing multi-cluster work for other systems. Each folder is self-contained with its own README, scripts and manifests.

Example Pairs Fleet with Runs on Shows
dynamo/ NVIDIA Dynamo (LLM inference) AKS, two GPU regions place a model everywhere, per-cluster shape, one DNS endpoint, staged model rollout, drain a region
kargo/ Kargo (promotion pipelines) Kind, local one Kargo instance promoting across independent KubeFleet hubs with health gates
kubeflow-fleet-gitops Kubeflow (GPU training) AKS, two regions regional training, pipelines, shared storage, onboarding GPU members. Separate repo because Flux syncs from it.

Azure examples create real resources: read each folder's prerequisites and cleanup section first.

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