# GitLab Runner — 2×H100 GPU training workloads (multi-GPU hyperopt)
# Runs on ci-training-h100x2 pool (2× H100 PCIe: 160GB total VRAM)
# Multi-GPU auto-detected by MultiGpuConfig::detect() in ml crate.

gitlabUrl: http://gitlab-webservice-default.foxhunt.svc.cluster.local:8181

replicas: 1

rbac:
  create: false
serviceAccount:
  create: false
  name: gitlab-runner

nodeSelector:
  k8s.scaleway.com/pool-name: infra

runners:
  cloneUrl: http://gitlab-webservice-default.foxhunt.svc.cluster.local:8181
  config: |
    [[runners]]
      clone_url = "http://gitlab-webservice-default.foxhunt.svc.cluster.local:8181"
      tag_list = ["kapsule", "h100x2"]
      [runners.kubernetes]
        namespace = "foxhunt"
        service_account = "gitlab-runner"
        image = "rust:1.89-slim"
        privileged = false
        node_selector_overwrite_allowed = ".*"
        cpu_request_overwrite_max_allowed = "16000m"
        cpu_limit_overwrite_max_allowed = "16000m"
        memory_request_overwrite_max_allowed = "192Gi"
        memory_limit_overwrite_max_allowed = "192Gi"
        poll_timeout = 600
        runtime_class_name = "nvidia"
        pod_annotations_overwrite_allowed = ".*"
        cpu_request = "4000m"
        cpu_limit = "8000m"
        memory_request = "8Gi"
        memory_limit = "16Gi"
        helper_cpu_request = "100m"
        helper_cpu_limit = "500m"
        helper_memory_request = "128Mi"
        helper_memory_limit = "512Mi"
        image_pull_secrets = ["gitlab-registry"]
      [runners.kubernetes.node_selector]
        "k8s.scaleway.com/pool-name" = "ci-training-h100x2"
      [runners.kubernetes.node_tolerations]
        "nvidia.com/gpu" = "NoSchedule"
        "node.cilium.io/agent-not-ready" = "NoSchedule"
      [runners.kubernetes.pod_labels]
        "app.kubernetes.io/part-of" = "foxhunt-ci"
      # Request both GPUs via K8s scheduler for exclusive access
      [[runners.kubernetes.pod_spec]]
        name = "build"
        patch_type = "strategic"
        patch = '{"containers":[{"name":"build","resources":{"requests":{"nvidia.com/gpu":"2"},"limits":{"nvidia.com/gpu":"2"}}}]}'
      [[runners.kubernetes.volumes.pvc]]
        name = "training-data-h100x2-pvc"
        mount_path = "/mnt/training-data"
        read_only = true
      [[runners.kubernetes.volumes.pvc]]
        name = "sccache-h100x2-pvc"
        mount_path = "/mnt/sccache"
        read_only = false

  tags: "kapsule,h100x2"

concurrent: 2