h100-eks-ubuntu-training.yaml

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#
# Licensed under the Apache License, Version 2.0 (the "License");
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#
#     http://www.apache.org/licenses/LICENSE-2.0
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# distributed under the License is distributed on an "AS IS" BASIS,
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kind: RecipeMetadata
apiVersion: aicr.nvidia.com/v1alpha1
metadata:
  name: h100-eks-ubuntu-training

spec:
  # Inherits from h100-eks-training recipe (H100 + EKS + training settings)
  # This overlay adds Ubuntu-specific configurations
  base: h100-eks-training

  criteria:
    service: eks
    accelerator: h100
    os: ubuntu
    intent: training

  # Constraints for H100 on EKS with Ubuntu for training workloads
  # Constraint names use fully qualified measurement paths: {type}.{subtype}.{key}
  constraints:
    - name: K8s.server.version
      value: ">= 1.32.4"
    - name: OS.release.ID
      value: ubuntu
    - name: OS.release.VERSION_ID
      value: "24.04"
    - name: OS.sysctl./proc/sys/kernel/osrelease
      value: ">= 6.8"

  componentRefs: []

  validation:
    deployment:
      checks:
        - operator-health
        - expected-resources
        - helm-values
        - gpu-operator-version
        - check-nvidia-smi
      constraints:
        - name: Deployment.gpu-operator.version
          value: ">= v24.6.0"
    performance:
      checks:
        - nccl-all-reduce-bw
      constraints:
        - name: nccl-all-reduce-bw
          value: ">= 300"
    conformance:
      checks:
        - platform-health
        - gpu-operator-health
        - dra-support
        - accelerator-metrics
        - ai-service-metrics
        - gang-scheduling
        - pod-autoscaling
        - cluster-autoscaling
        - robust-controller
        - secure-accelerator-access