# k8s-aibom

NVIDIA's open-source AICR now includes Google's k8s-aibom as a qualified component in its recipes, so a GPU-accelerated Kubernetes platform can deploy a known-good configuration while recording which AI workloads actually run in the cluster. Previously a recipe fixed only the platform configuration, and workloads updated independently by application teams, plus mutable tags like :latest, could leave two nodes running different code under the same tag. Two GKE recipes select the component by default, and others can opt in at generation time.

NVIDIA's open-source AICR now includes Google's k8s-aibom as a qualified component in its recipes, so a GPU-accelerated Kubernetes platform can deploy a known-good configuration while recording which AI workloads actually run in the cluster. Previously a recipe fixed only the platform configuration, and workloads updated independently by application teams, plus mutable tags like :latest, could leave two nodes running different code under the same tag. Two GKE recipes select the component by default, and others can opt in at generation time.