diff --git a/qa/L0_tftrt_optimization/test.sh b/qa/L0_tftrt_optimization/test.sh
index da0b3d7e93..04dcdc2f65 100755
--- a/qa/L0_tftrt_optimization/test.sh
+++ b/qa/L0_tftrt_optimization/test.sh
@@ -53,8 +53,6 @@ source ../common/util.sh
 
 RET=0
 
-# FIXME [DLIS-6660] Update TF image models to support dynamic batching
-# Currently, models cannot load with TF-TRT optimization due to the removal of implicit batch support in TensorRT v10 onwards
 for MODEL in \
         graphdef_float32_float32_float32 \
         savedmodel_float32_float32_float32; do
diff --git a/qa/L0_warmup/test.sh b/qa/L0_warmup/test.sh
index 28c34e0b2f..aeed873b25 100755
--- a/qa/L0_warmup/test.sh
+++ b/qa/L0_warmup/test.sh
@@ -288,10 +288,6 @@ for BACKEND in ${BACKENDS}; do
     fi
 
     if [ "$BACKEND" == "graphdef" ]; then
-        # FIXME [DLIS-6660] Update TF image models to support dynamic batching
-        # Currently, models cannot load with TF-TRT optimization due to the removal of implicit batch support in TensorRT v10 onwards
-        continue
-
         # Show effect of warmup by using a TF model with TF-TRT optimization which is
         # known to be slow on first inference.
         # Note: model can be obatined via the fetching script in docs/example