diff --git a/python/sglang/srt/distributed/parallel_state.py b/python/sglang/srt/distributed/parallel_state.py
index 73a64ef9b..72a87476d 100644
--- a/python/sglang/srt/distributed/parallel_state.py
+++ b/python/sglang/srt/distributed/parallel_state.py
@@ -2239,7 +2239,8 @@ def initialize_model_parallel(
 
     global _MOE_EP
     assert _MOE_EP is None, "expert model parallel group is already initialized"
-    if moe_ep_size == tensor_model_parallel_size:
+    # NPU requires a standalone group for MOE expert parallelism
+    if moe_ep_size == tensor_model_parallel_size and not _is_npu:
         _MOE_EP = _TP
     else:
         group_ranks = []
diff --git a/python/sglang/srt/layers/moe/fused_moe_triton/layer.py b/python/sglang/srt/layers/moe/fused_moe_triton/layer.py
index 289907dd3..e4f9c88fc 100644
--- a/python/sglang/srt/layers/moe/fused_moe_triton/layer.py
+++ b/python/sglang/srt/layers/moe/fused_moe_triton/layer.py
@@ -13,6 +13,7 @@ from torch.nn.parameter import UninitializedParameter
 from sglang.srt.batch_overlap.single_batch_overlap import DownGemmOverlapArgs
 from sglang.srt.batch_overlap.two_batch_overlap import MaybeTboDeepEPDispatcher
 from sglang.srt.distributed import (
+    get_moe_ep_group,
     get_tp_group,
     tensor_model_parallel_all_reduce,
 )
@@ -72,6 +73,7 @@ from sglang.srt.utils import (
     get_bool_env_var,
     is_cpu,
     is_hip,
+    is_npu,
     print_info_once,
     round_up,
 )
@@ -80,9 +82,22 @@ from sglang.srt.utils.custom_op import register_custom_op
 _is_hip = is_hip()
 _is_cpu_amx_available = cpu_has_amx_support()
 _is_cpu = is_cpu()
+_is_npu = is_npu()
 _use_aiter = get_bool_env_var("SGLANG_USE_AITER") and _is_hip
 
 
+def _get_deepep_comm_group(a2a_backend):
+    group = get_tp_group().device_group
+
+    if a2a_backend.is_mori():
+        group = get_tp_group()
+
+    elif _is_npu:
+        group = get_moe_ep_group().device_group
+
+    return group
+
+
 def create_moe_dispatcher(moe_runner_config: MoeRunnerConfig) -> BaseDispatcher:
     a2a_backend = get_moe_a2a_backend()
     if (
@@ -101,11 +116,7 @@ def create_moe_dispatcher(moe_runner_config: MoeRunnerConfig) -> BaseDispatcher:
         or a2a_backend.is_nixl()
     ):
         return MaybeTboDeepEPDispatcher(
-            group=(
-                get_tp_group().device_group
-                if not a2a_backend.is_mori()
-                else get_tp_group()
-            ),
+            group=_get_deepep_comm_group(a2a_backend),
             router_topk=moe_runner_config.top_k,
             permute_fusion=True,
             num_experts=moe_runner_config.num_experts,