diff --git a/python/sglang/srt/layers/quantization/modelopt_quant.py b/python/sglang/srt/layers/quantization/modelopt_quant.py
index 9f7dafd05..bf8c6c1ed 100755
--- a/python/sglang/srt/layers/quantization/modelopt_quant.py
+++ b/python/sglang/srt/layers/quantization/modelopt_quant.py
@@ -1187,6 +1187,21 @@ class ModelOptNvFp4FusedMoEMethod(FusedMoEMethodBase):
         if self.enable_flashinfer_cutlass_moe or self.enable_flashinfer_trtllm_moe:
             w13_input_scale = layer.w13_input_scale.max().to(torch.float32)
             w2_input_scale = layer.w2_input_scale.max().to(torch.float32)
+        elif self.enable_flashinfer_cutedsl_moe:
+            w13_input_scale = layer.w13_input_scale.max(dim=1).values.to(torch.float32)
+            w2_input_scale = layer.w2_input_scale
+
+            def _slice_scale(w):
+                assert w.shape == (layer.num_experts,)
+                assert layer.moe_ep_size * layer.num_local_experts == layer.num_experts
+                return w[
+                    layer.moe_ep_rank
+                    * layer.num_local_experts : (layer.moe_ep_rank + 1)
+                    * layer.num_local_experts
+                ]
+
+            w13_input_scale = _slice_scale(w13_input_scale)
+            w2_input_scale = _slice_scale(w2_input_scale)
         else:
             w13_input_scale = layer.w13_input_scale.max(dim=1).values.to(torch.float32)
             w2_input_scale = layer.w2_input_scale