diff --git a/vllm/envs.py b/vllm/envs.py
index 864ea6649..cfbf56ee1 100755
--- a/vllm/envs.py
+++ b/vllm/envs.py
@@ -168,7 +168,7 @@ if TYPE_CHECKING:
     VLLM_FLASHINFER_MOE_BACKEND: Literal["throughput", "latency", "masked_gemm"] = (
         "latency"
     )
-    VLLM_FLASHINFER_ALLREDUCE_BACKEND: Literal["auto", "trtllm", "mnnvl"] = "auto"
+    VLLM_FLASHINFER_ALLREDUCE_BACKEND: Literal["auto", "trtllm", "mnnvl"] = "trtllm"
     VLLM_FLASHINFER_WORKSPACE_BUFFER_SIZE: int = 394 * 1024 * 1024
     VLLM_XGRAMMAR_CACHE_MB: int = 0
     VLLM_MSGPACK_ZERO_COPY_THRESHOLD: int = 256
@@ -1297,9 +1297,12 @@ environment_variables: dict[str, Callable[[], Any]] = {
     # Flashinfer fused allreduce backend.
     # "auto" will default to "mnnvl", which performs mostly same/better than "trtllm".
     # But "mnnvl" backend does not support fuse with quantization.
+    # TODO: Default is "trtllm" right now because "mnnvl" has issues with cudagraph:
+    # https://github.com/vllm-project/vllm/issues/35772
+    # Should switch back to "auto" if the issue is resolved.
     "VLLM_FLASHINFER_ALLREDUCE_BACKEND": env_with_choices(
         "VLLM_FLASHINFER_ALLREDUCE_BACKEND",
-        "auto",
+        "trtllm",
         ["auto", "trtllm", "mnnvl"],
     ),
     # Control the workspace buffer size for the FlashInfer backend.