diff --git a/vllm/v1/executor/ray_utils.py b/vllm/v1/executor/ray_utils.py
index 21910d1160bd4..2936855c84db5 100644
--- a/vllm/v1/executor/ray_utils.py
+++ b/vllm/v1/executor/ray_utils.py
@@ -329,14 +329,17 @@ def initialize_ray_cluster(
         available_gpus = cuda_device_count_stateless()
         if parallel_config.world_size > available_gpus:
             logger.warning(
-                "Tensor parallel size (%d) exceeds available GPUs (%d). "
-                "This may result in Ray placement group allocation failures. "
-                "Consider reducing tensor_parallel_size to %d or less, "
-                "or ensure your Ray cluster has %d GPUs available.",
+                "World size (%d) exceeds locally visible GPUs (%d). "
+                "For single-node deployments, this may result in Ray "
+                "placement group allocation failures. For multi-node Ray "
+                "clusters, ensure your cluster has %d GPUs available across "
+                "all nodes. (world_size = tensor_parallel_size=%d × "
+                "pipeline_parallel_size=%d)",
                 parallel_config.world_size,
                 available_gpus,
-                available_gpus,
                 parallel_config.world_size,
+                parallel_config.tensor_parallel_size,
+                parallel_config.pipeline_parallel_size,
             )
 
     if ray.is_initialized():