feat(ci): add 2×H100 GPU pool for multi-GPU training

Pool ci-training-h100x2 (H100-2-80G, 160GB VRAM total).
MultiGpuConfig::detect() in ml crate auto-enables data parallelism.
Tags: kapsule,h100x2. Autoscale 0→1.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

infra/k8s/gitlab/runner-h100x2-values.yaml

@@ -0,0 +1,69 @@
+# 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: gitlab
+tolerations:
+  - key: gitlab
+    operator: Equal
+    value: "true"
+    effect: NoSchedule
+
+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 = ["scw-registry", "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"
+      [[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