diff --git a/transformer_engine/pytorch/ops/basic/activation.py b/transformer_engine/pytorch/ops/basic/activation.py
index a974d41ef9..7530825c40 100644
--- a/transformer_engine/pytorch/ops/basic/activation.py
+++ b/transformer_engine/pytorch/ops/basic/activation.py
@@ -402,12 +402,6 @@ def fuser_forward(
         next_op_input_quantizer: Optional[Quantizer],  # pylint: disable=unused-argument
         basic_op_kwargs: list[dict[str, Any]],  # pylint: disable=unused-argument
     ) -> tuple[torch.Tensor, Sequence[Sequence[torch.Tensor]]]:
-        if self.activation_recompute_in_mlp:
-            raise RuntimeError(
-                f"{self.__class__.__name__}(activation_recompute_in_mlp=True) requires the "
-                "fused grouped MLP path."
-            )
-
         extra_input = basic_op_extra_inputs[0][0]
 
         if torch.is_autocast_enabled():
@@ -445,12 +439,6 @@ def fuser_backward(
     ]:
         del basic_op_grad_extra_outputs
 
-        if self.activation_recompute_in_mlp:
-            raise RuntimeError(
-                f"{self.__class__.__name__}(activation_recompute_in_mlp=True) requires the "
-                "fused grouped MLP path."
-            )
-
         ctx = basic_op_ctxs[0]
         x, scales = ctx.saved_tensors
         x = maybe_dequantize(x.contiguous(), ctx.dtype)