diff --git a/decloud/production/inference.py b/decloud/production/inference.py
index e85544ac142bac07d20a1b93ed6360a4e7e43389..a4296d4d3eeeadea2aa04bce652078ff34ecb9f4 100644
--- a/decloud/production/inference.py
+++ b/decloud/production/inference.py
@@ -66,7 +66,7 @@ def inference(sources, sources_scales, pad, ts, savedmodel_dir, out_tensor, out_
 
     # Setup TensorFlowModelServe
     system.set_env_var("OTB_TF_NSOURCES", str(len(sources)))
-    infer = pyotb.TensorflowModelServe(execute=False)
+    infer = pyotb.TensorflowModelServe(frozen=True)
 
     # Inputs
     for i, (placeholder, source) in enumerate(sources.items()):
diff --git a/decloud/production/monthly_synthesis_processor_s2.py b/decloud/production/monthly_synthesis_processor_s2.py
index e2ad8c4cb79e748dd86500517e3914761f695b31..f2de7f42dc6f0acf4f300bd3659fa134c1c2fcce 100644
--- a/decloud/production/monthly_synthesis_processor_s2.py
+++ b/decloud/production/monthly_synthesis_processor_s2.py
@@ -74,10 +74,10 @@ def monthly_synthesis_inference(sources, sources_scales, pad, ts, savedmodel_dir
 
     # Setup TensorFlowModelServe
     system.set_env_var("OTB_TF_NSOURCES", str(len(sources)))
-    infer = pyotb.App("TensorflowModelServe", execute=False)
+    infer = pyotb.App("TensorflowModelServe", frozen=True)
 
     # Setup BandMath for post processing
-    bm = pyotb.App("BandMath", execute=False)
+    bm = pyotb.App("BandMath", frozen=True)
     mask_expr = "0"
 
     # Inputs
diff --git a/decloud/production/monthly_synthesis_processor_s2s1.py b/decloud/production/monthly_synthesis_processor_s2s1.py
index 10adc0aea0faeaa99f090f9b81d2ca1c243da2d2..38c02f9d41978bdaad58a466d96481df56f6fa98 100644
--- a/decloud/production/monthly_synthesis_processor_s2s1.py
+++ b/decloud/production/monthly_synthesis_processor_s2s1.py
@@ -74,10 +74,10 @@ def monthly_synthesis_inference(sources, sources_scales, pad, ts, savedmodel_dir
 
     # Setup TensorFlowModelServe
     system.set_env_var("OTB_TF_NSOURCES", str(len(sources)))
-    infer = pyotb.App("TensorflowModelServe", execute=False)
+    infer = pyotb.App("TensorflowModelServe", frozen=True)
 
     # Setup BandMath for post processing
-    bm = pyotb.App("BandMath", execute=False)
+    bm = pyotb.App("BandMath", frozen=True)
     mask_expr = "0"
 
     # Inputs