# Cluster-scoped prerequisite for every GPU workload on worker-1.
#
# The Talos nvidia-container-toolkit extension already registers the containerd
# runtime handler (/etc/cri/conf.d/10-nvidia-container-runtime.part ->
# plugins."io.containerd.cri.v1.runtime".containerd.runtimes.nvidia), but the
# Kubernetes RuntimeClass object is separate and is NOT created by the
# extension. Without it every pod carrying runtimeClassName: nvidia is rejected
# at admission with:
#   pods "..." is forbidden: pod rejected: RuntimeClass "nvidia" not found
#
# Deliberately NOT setting nvidia as containerd's default_runtime_name (the
# 20-customization.part patch in the Talos guide): that would route every pod on
# the node through the NVIDIA runtime. Opting in per-pod is narrower.
apiVersion: node.k8s.io/v1
kind: RuntimeClass
metadata:
  name: nvidia
handler: nvidia