diff --git a/ray-operator/config/samples/ray-cluster.gke-bucket.yaml b/ray-operator/config/samples/ray-cluster.gke-bucket.yaml
new file mode 100644
index 0000000000..cbee9096fa
--- /dev/null
+++ b/ray-operator/config/samples/ray-cluster.gke-bucket.yaml
@@ -0,0 +1,31 @@
+apiVersion: ray.io/v1alpha1
+kind: RayCluster
+metadata:
+  name: raycluster-mini
+spec:
+  rayVersion: '2.6.3'
+  headGroupSpec:
+    rayStartParams:
+      dashboard-host: '0.0.0.0'
+    template:
+      spec:
+        serviceAccountName: my-ksa
+        nodeSelector:
+          iam.gke.io/gke-metadata-server-enabled: "true"
+        containers:
+        - name: ray-head
+          image: rayproject/ray:2.6.3
+          resources:
+            limits:
+              cpu: 1
+              memory: 2Gi
+            requests:
+              cpu: 1
+              memory: 2Gi
+          ports:
+          - containerPort: 6379
+            name: gcs-server
+          - containerPort: 8265
+            name: dashboard
+          - containerPort: 10001
+            name: client
diff --git a/ray-operator/config/samples/ray-job.batch-inference.yaml b/ray-operator/config/samples/ray-job.batch-inference.yaml
index 3b7b476b6b..a97dc0e97f 100644
--- a/ray-operator/config/samples/ray-job.batch-inference.yaml
+++ b/ray-operator/config/samples/ray-job.batch-inference.yaml
@@ -72,7 +72,7 @@ data:
     class ImageClassifier:
         def __init__(self):
             # If doing CPU inference, set `device="cpu"` instead.
-            self.classifier = pipeline("image-classification", model="google/vit-base-patch16-224", device=0) # TODO:archit
+            self.classifier = pipeline("image-classification", model="google/vit-base-patch16-224", device=0)
 
         def __call__(self, batch: Dict[str, np.ndarray]):
             # Convert the numpy array of images into a list of PIL images which is the format the HF pipeline expects.
diff --git a/tests/test_sample_raycluster_yamls.py b/tests/test_sample_raycluster_yamls.py
index 7476c89b2e..313ccc68ab 100644
--- a/tests/test_sample_raycluster_yamls.py
+++ b/tests/test_sample_raycluster_yamls.py
@@ -51,6 +51,7 @@
         'ray-cluster.autoscaler.large.yaml':
             'Skip this test because it requires a lot of resources.',
         'ray-cluster-tpu.yaml': 'Skip this test because it requires TPU resources.',
+        'ray-cluster.gke-bucket.yaml': 'Skip this test because it requires GKE and k8s service accounts.',
     }
 
     rs = RuleSet([HeadPodNameRule(), EasyJobRule(), HeadSvcRule()])