diff --git a/sky/cli.py b/sky/cli.py
index c9995341021..e50aca011a6 100644
--- a/sky/cli.py
+++ b/sky/cli.py
@@ -3079,7 +3079,8 @@ def _get_kubernetes_node_info_table():
         node_info_dict = kubernetes_utils.get_kubernetes_node_info()
         for node_name, node_info in node_info_dict.items():
             node_table.add_row([
-                node_name, node_info.gpu_type, node_info.total['nvidia.com/gpu'],
+                node_name, node_info.gpu_type,
+                node_info.total['nvidia.com/gpu'],
                 node_info.free['nvidia.com/gpu']
             ])
         return node_table
@@ -3127,7 +3128,8 @@ def _output():
                     k8s_node_table = _get_kubernetes_node_info_table()
                     yield '\n\n'
                     yield (f'{colorama.Fore.CYAN}{colorama.Style.BRIGHT}'
-                           f'Kubernetes per node GPU availability{colorama.Style.RESET_ALL}\n')
+                           f'Kubernetes per node GPU availability'
+                           f'{colorama.Style.RESET_ALL}\n')
                     yield from k8s_node_table.get_string()
                 if kubernetes_autoscaling:
                     k8s_messages += (
diff --git a/sky/provision/kubernetes/utils.py b/sky/provision/kubernetes/utils.py
index 9b5707de02d..5cccc5f84ed 100644
--- a/sky/provision/kubernetes/utils.py
+++ b/sky/provision/kubernetes/utils.py
@@ -1661,8 +1661,8 @@ class KubernetesNodeInfo:
     name: str
     gpu_type: Optional[str]
     # Resources available on the node. E.g., {'nvidia.com/gpu': '2'}
-    total: Dict[str, str]
-    free: Dict[str, str]
+    total: Dict[str, int]
+    free: Dict[str, int]
 
 
 def get_kubernetes_node_info() -> Dict[str, KubernetesNodeInfo]:
@@ -1690,14 +1690,14 @@ def get_kubernetes_node_info() -> Dict[str, KubernetesNodeInfo]:
 
     for node in nodes:
         allocated_qty = 0
-        if label_key is not None and label_key in node.metadata.labels:
+        if label_formatter is not None and label_key in node.metadata.labels:
             accelerator_name = label_formatter.get_accelerator_from_label_value(
                 node.metadata.labels.get(label_key))
         else:
             accelerator_name = None
 
-        accelerator_count = int(
-            node.status.allocatable.get('nvidia.com/gpu', 0))
+        accelerator_count = int(node.status.allocatable.get(
+            'nvidia.com/gpu', 0))
 
         for pod in pods:
             # Get all the pods running on the node