diff --git a/vllm_ascend/ops/fused_moe.py b/vllm_ascend/ops/fused_moe.py
index 533c20b..97489f9 100644
--- a/vllm_ascend/ops/fused_moe.py
+++ b/vllm_ascend/ops/fused_moe.py
@@ -295,6 +295,7 @@ class AscendFusedMoE(FusedMoE):
                 in_dtype=params_dtype,
             )
         self.moe_config = moe
+        # TODO: The self.moe_config.tp_size here is not correct, fixme soon
 
         if quant_config is None:
             self.quant_method = AscendUnquantizedFusedMoEMethod(moe)
diff --git a/vllm_ascend/platform.py b/vllm_ascend/platform.py
index dbfe1dc..1f12c59 100644
--- a/vllm_ascend/platform.py
+++ b/vllm_ascend/platform.py
@@ -16,6 +16,7 @@
 #
 
 import gc
+import os
 from datetime import timedelta
 from typing import TYPE_CHECKING, Optional, Tuple
 
@@ -260,6 +261,8 @@ class NPUPlatform(Platform):
             compilation_config.level = CompilationLevel.NO_COMPILATION
 
         if parallel_config and parallel_config.worker_cls == "auto":
+            # TODO: this is a tricky way to disable `use_sequence_parallel_moe` in vllm.
+            os.environ["VLLM_ALL2ALL_BACKEND"] = "flashinfer_all2allv"
             if ascend_config.torchair_graph_config.enabled or ascend_config.enable_shared_expert_dp:
                 parallel_config.worker_cls = "vllm_ascend.torchair.torchair_worker.NPUTorchairWorker"
             else: