diff --git a/deploy/helm/sie-cluster/values-aks.yaml b/deploy/helm/sie-cluster/values-aks.yaml
index 849357da8..a84ce611e 100644
--- a/deploy/helm/sie-cluster/values-aks.yaml
+++ b/deploy/helm/sie-cluster/values-aks.yaml
@@ -178,5 +178,6 @@ serviceAccount:
   # azure.workload.identity/client-id: <client-id>  # inject via --set at deploy time
 
 dcgm-exporter:
-  # AKS GPU nodes use taints; no node selector required
-  nodeSelector: {}
+  # GPU node label set by the terraform-azure-sie GPU node pools
+  nodeSelector:
+    sie.superlinked.com/node-type: gpu
diff --git a/deploy/helm/sie-cluster/values-aws.yaml b/deploy/helm/sie-cluster/values-aws.yaml
index ac7772060..692c42c93 100644
--- a/deploy/helm/sie-cluster/values-aws.yaml
+++ b/deploy/helm/sie-cluster/values-aws.yaml
@@ -177,5 +177,6 @@ serviceAccount:
   # eks.amazonaws.com/role-arn: <ARN>  # inject via --set at deploy time
 
 dcgm-exporter:
-  # AWS GPU nodes use taints, not the GCP accelerator label
-  nodeSelector: {}
+  # GPU node label set by the terraform-aws-sie GPU node groups
+  nodeSelector:
+    sie.superlinked.com/node-type: gpu
diff --git a/deploy/helm/sie-cluster/values.yaml b/deploy/helm/sie-cluster/values.yaml
index b72af4176..b5d07d621 100644
--- a/deploy/helm/sie-cluster/values.yaml
+++ b/deploy/helm/sie-cluster/values.yaml
@@ -2105,11 +2105,8 @@ dcgm-exporter:
     interval: "15s"
     additionalLabels:
       app.kubernetes.io/part-of: sie
-  # -- Run on GPU nodes only. Override per cloud:
-  # GCP: cloud.google.com/gke-accelerator-count: "1"
-  # AWS: add dcgm-exporter.nodeSelector: {} in values-aws.yaml
-  nodeSelector:
-    cloud.google.com/gke-accelerator-count: "1"
+  # -- GPU node labels; set per cloud in the values-<cloud>.yaml overlays.
+  nodeSelector: {}
   tolerations:
     - key: nvidia.com/gpu
       operator: Exists
diff --git a/tools/ci/tests/test_helm_render.py b/tools/ci/tests/test_helm_render.py
index e8210cb99..57ec7c48a 100644
--- a/tools/ci/tests/test_helm_render.py
+++ b/tools/ci/tests/test_helm_render.py
@@ -3996,3 +3996,36 @@ def test_worker_auth_off_preserves_existing_image_compatibility(tmp_path: Path,
     assert "SIE_AUTH_TOKEN" not in env
     assert WORKER_AUTH_TEST_JOB not in hook_jobs(docs)
     assert worker_auth_requirements(docs) == {}
+
+
+GKE_ACCELERATOR_LABEL = "cloud.google.com/gke-accelerator-count"
+
+
+def dcgm_exporter_node_selector(tmp_path: Path, overlays: tuple[str, ...] = ()) -> dict:
+    docs = rendered_documents(tmp_path, {"dcgm-exporter": {"install": True}}, overlays)
+    (daemonset,) = [doc for doc in docs if doc["kind"] == "DaemonSet" and "dcgm-exporter" in doc["metadata"]["name"]]
+    return daemonset["spec"]["template"]["spec"].get("nodeSelector") or {}
+
+
+@pytest.mark.parametrize(
+    ("overlay", "expected"),
+    [
+        ("values-aws.yaml", {"sie.superlinked.com/node-type": "gpu"}),
+        ("values-aks.yaml", {"sie.superlinked.com/node-type": "gpu"}),
+        (
+            "values-ack.yaml",
+            {
+                "ack.node.gpu.schedule": "default",
+                "sie.superlinked.com/gpu-type": "a10",
+                "sie.superlinked.com/node-type": "gpu",
+            },
+        ),
+        ("values-gke.yaml", {GKE_ACCELERATOR_LABEL: "1"}),
+    ],
+)
+def test_dcgm_exporter_selects_only_the_cloud_overlay_gpu_labels(tmp_path: Path, overlay: str, expected: dict) -> None:
+    assert dcgm_exporter_node_selector(tmp_path, (overlay,)) == expected
+
+
+def test_dcgm_exporter_has_no_cloud_specific_default_selector(tmp_path: Path) -> None:
+    assert GKE_ACCELERATOR_LABEL not in dcgm_exporter_node_selector(tmp_path)