Add warning on CUDA graph memory usage (vllm-project#2182)

vllm/worker/model_runner.py

@@ -395,6 +395,9 @@ def capture_model(self, kv_caches: List[KVCache]) -> None:
                     "unexpected consequences if the model is not static. To "
                     "run the model in eager mode, set 'enforce_eager=True' or "
                     "use '--enforce-eager' in the CLI.")
+        logger.info("CUDA graphs can take additional 1~3 GiB memory per GPU. "
+                    "If you are running out of memory, consider decreasing "
+                    "`gpu_memory_utilization` or enforcing eager mode.")
         start_time = time.perf_counter()
 
         # Prepare dummy inputs. These will be reused for all batch sizes.