diff --git a/src/gt4py/next/program_processors/runners/dace_fieldview/transformations/auto_optimize.py b/src/gt4py/next/program_processors/runners/dace_fieldview/transformations/auto_optimize.py
index 4a06d2f416..e27e37499b 100644
--- a/src/gt4py/next/program_processors/runners/dace_fieldview/transformations/auto_optimize.py
+++ b/src/gt4py/next/program_processors/runners/dace_fieldview/transformations/auto_optimize.py
@@ -269,7 +269,7 @@ def gt_auto_optimize(
         dace_aoptimize.move_small_arrays_to_stack(sdfg)
 
         # Now we modify the strides.
-        gtx_transformations.gt_change_transient_strides(sdfg, gpu=gpu)
+        # TODO: re-enable gtx_transformations.gt_change_transient_strides(sdfg, gpu=gpu)
 
         if make_persistent:
             gtx_transformations.gt_make_transients_persistent(sdfg=sdfg, device=device)
diff --git a/src/gt4py/next/program_processors/runners/dace_fieldview/workflow.py b/src/gt4py/next/program_processors/runners/dace_fieldview/workflow.py
index 407faf7ec1..5f5a00712b 100644
--- a/src/gt4py/next/program_processors/runners/dace_fieldview/workflow.py
+++ b/src/gt4py/next/program_processors/runners/dace_fieldview/workflow.py
@@ -63,7 +63,7 @@ def generate_sdfg(
             # can handle. This is a workaround for an issue with scalar expressions that are
             # promoted to symbolic expressions and computed on the host (CPU), but the intermediate
             # result is written to a GPU global variable (https://github.com/spcl/dace/issues/1773).
-            gtx_transformations.gt_simplify(sdfg)
+            sdfg.simplify()
             gtx_transformations.gt_gpu_transformation(sdfg, try_removing_trivial_maps=True)
 
         return sdfg