diff --git a/vllm/config.py b/vllm/config.py
index ca71accdfa33f..253a7880bd11d 100644
--- a/vllm/config.py
+++ b/vllm/config.py
@@ -3174,11 +3174,13 @@ class VllmConfig:
             # and avoid any potential issues with the inductor.
             self.compilation_config.custom_ops = ["none"]
             self.compilation_config.use_cudagraph = True
-            self.compilation_config.use_inductor = True
+#            self.compilation_config.use_inductor = True
+            self.compilation_config.use_inductor = False
             self.compilation_config.cudagraph_num_of_warmups = 1
             self.compilation_config.pass_config.enable_fusion = False
             self.compilation_config.pass_config.enable_reshape = False
-            self.compilation_config.level = CompilationLevel.PIECEWISE
+#            self.compilation_config.level = CompilationLevel.PIECEWISE
+            self.compilation_config.level = CompilationLevel.NO_COMPILATION
 
         self._set_cudagraph_sizes()
 
diff --git a/vllm/v1/worker/gpu_model_runner.py b/vllm/v1/worker/gpu_model_runner.py
index fda5dc3e5babf..9697864048ecb 100644
--- a/vllm/v1/worker/gpu_model_runner.py
+++ b/vllm/v1/worker/gpu_model_runner.py
@@ -840,12 +840,6 @@ class GPUModelRunner:
         gc.collect()
 
     def capture_model(self) -> None:
-        if not self.use_cuda_graph:
-            logger.warning(
-                "Skipping CUDA graph capture. Please add "
-                "-O %s to use CUDA graphs.", CompilationLevel.PIECEWISE)
-            return
-
         start_time = time.perf_counter()
         start_free_gpu_memory = torch.cuda.mem_get_info()[0]