diff --git a/vllm/config/vllm.py b/vllm/config/vllm.py
index 7ee522ea9f0c..fa7310f13b03 100644
--- a/vllm/config/vllm.py
+++ b/vllm/config/vllm.py
@@ -350,25 +350,47 @@ def __post_init__(self):
                     self.compilation_config.cudagraph_mode = (
                         CUDAGraphMode.FULL_AND_PIECEWISE
                     )
+                else:
+                    self.compilation_config.cudagraph_mode = CUDAGraphMode.NONE
 
-                    # pooling models and encoder-decoder models
-                    # do not support full cudagraphs
-                    if self.model_config is not None and (
-                        self.model_config.pooler_config is not None
-                        or self.model_config.is_encoder_decoder
-                    ):
+            # if cudagraph_mode has full cudagraphs, we need to check support
+            if self.compilation_config.cudagraph_mode.has_full_cudagraphs():
+                # decode context parallel does not support full cudagraphs
+                if self.parallel_config.decode_context_parallel_size > 1:
+                    logger.warning_once(
+                        "Decode context parallel (DCP) is enabled, which is "
+                        "incompatible with full CUDA graphs. "
+                        "Overriding cudagraph_mode to PIECEWISE."
+                    )
+                    self.compilation_config.cudagraph_mode = CUDAGraphMode.PIECEWISE
+                elif self.model_config is not None:
+                    if self.model_config.pooler_config is not None:
+                        logger.warning_once(
+                            "Pooling models do not support full cudagraphs. "
+                            "Overriding cudagraph_mode to PIECEWISE."
+                        )
                         self.compilation_config.cudagraph_mode = CUDAGraphMode.PIECEWISE
-
-                    # decode context parallel do not support full cudagraphs now.
-                    if self.parallel_config.decode_context_parallel_size > 1:
-                        logger.warning(
-                            "Decode context parallel (DCP) is enabled, which is "
-                            "incompatible with full CUDA graphs. Set "
-                            "cudagraph_mode to PIECEWISE."
+                    elif self.model_config.is_encoder_decoder:
+                        logger.warning_once(
+                            "Encoder-decoder models do not support full cudagraphs. "
+                            "Overriding cudagraph_mode to PIECEWISE."
+                        )
+                        self.compilation_config.cudagraph_mode = CUDAGraphMode.PIECEWISE
+                    elif (
+                        current_platform.is_cuda()
+                        and current_platform.is_device_capability(100)
+                        and self.model_config.max_model_len > 131072
+                        and not self.model_config.use_mla
+                    ):
+                        # Refer to vllm/utils/flashinfer.py::use_trtllm_attention()
+                        logger.warning_once(
+                            "NVIDIA Blackwell TRTLLM attention cannot support "
+                            "max_model_len >= 131072 (found "
+                            f"{self.model_config.max_model_len}), causing dynamic "
+                            "dispatching that breaks full cudagraphs. "
+                            "Overriding cudagraph_mode to PIECEWISE."
                         )
                         self.compilation_config.cudagraph_mode = CUDAGraphMode.PIECEWISE
-                else:
-                    self.compilation_config.cudagraph_mode = CUDAGraphMode.NONE
 
             # disable cudagraph when enforce eager execution
             if self.model_config is not None and self.model_config.enforce_eager: