apiVersion: evidence.confighub.com/v1alpha1
kind: SimulatedGpuAcceptanceReceipt
metadata:
  name: eks-inference-sim-gpu
spec:
  organization: "Local"
  cluster: "kind/simgpu"
  bundle: "oci://ghcr.io/confighub/configs/eks-inference/inference-workloads@sha256:4ae5737725c86f7a07cf3366a7eafee8625a0dd8487784aa581ce7e33d460eb2"
  releasesPublished: 3
  node:
    name: "simgpu-control-plane"
    gpuCapacitySimulated: "2"
    taint: "nvidia.com/gpu:NoSchedule"
    poolLabel: "eks-inference.confighub.com/pool=quantized-gpu"
  argoApplications:
    - "argobot-simgpu Synced Healthy"
    - "inference-workloads-simgpu Synced Progressing"
    - "simgpu-argo-apps Synced Healthy"
  pods:
    - name: "chat-59cc4dbd6c-8vlvc"
      node: "simgpu-control-plane"
      phase: "Running"
      gpuLimit: "0"
      toleratesGpuTaint: false
    - name: "smoke-gpu-59645f5cf6-8g6qs"
      node: "simgpu-control-plane"
      phase: "Running"
      gpuLimit: "1"
      toleratesGpuTaint: true
    - name: "vllm-qwen-6cffd46c97-m8c8m"
      node: "simgpu-control-plane"
      phase: "Pending"
      gpuLimit: "1"
      toleratesGpuTaint: true
  preCapacityFailedScheduling:
    - "0/1 nodes are available: 1 Insufficient nvidia.com/gpu. no new claims to deallocate, preemption: 0/1 nodes are available: 1 Preemption is not helpful for scheduling."
  smokeLog:
    - "GPU smoke test OK; idling."
    - "/bin/sh: 1: nvidia-smi: not found"
  boundaries:
    - "No CUDA kernel ran and no model answered; a scheduled pod on simulated capacity is not a serving proof."
    - "Capacity is advertised by a node-status patch; no device plugin runs, and the real device plugin is out of scope here."
    - "Every image in this bundle is public, so the gated-registry digest check does not apply to this stack."
    - "These workloads set no runtimeClassName, so runtime-class wiring is not exercised."
    - "The real H100 serving run remains issue 1581 and is the receipt that closes it."