diff --git a/dsv4/layers/shared_expert.py b/dsv4/layers/shared_expert.py
index c5ca22dc..e07e921a 100644
--- a/dsv4/layers/shared_expert.py
+++ b/dsv4/layers/shared_expert.py
@@ -368,8 +368,7 @@ class Nvfp4SharedExpert:
             x_fp4, x_sf, gsa_l2_gpu = quantize_nvfp4_gpu_fused(intermediate)
             # DEBUG: verify no CUDA errors from quantize kernel
             torch.cuda.synchronize()  # DEBUG: catch async errors
-            if VERBOSE >= 1:
-                print(f"  SE L2 gsa: gsa_gpu shape={tuple(gsa_l2_gpu.shape)} dtype={gsa_l2_gpu.dtype} dev={gsa_l2_gpu.device} _l2_gsa_buf shape={tuple(self._l2_gsa_buf.shape)} dev={self._l2_gsa_buf.device}", flush=True)
+            print(f"  SE L2 gsa: gsa_gpu shape={tuple(gsa_l2_gpu.shape)} dtype={gsa_l2_gpu.dtype} dev={gsa_l2_gpu.device} _l2_gsa_buf shape={tuple(self._l2_gsa_buf.shape)} dev={self._l2_gsa_buf.device}", flush=True)
             self._l2_gsa_buf.copy_(gsa_l2_gpu[:1].reshape(1))  # GPU → GPU, no sync
         else:
             x_fp4, x_sf = quantize_activation_nvfp4(