diff --git a/ci/test_python_other.sh b/ci/test_python_other.sh
index ade11b51c64..25ed615df84 100755
--- a/ci/test_python_other.sh
+++ b/ci/test_python_other.sh
@@ -44,4 +44,5 @@ pytest \
   custreamz
 popd
 
+rapids-logger "Test script exiting with value: $EXITCODE"
 exit ${EXITCODE}
diff --git a/conda/recipes/cudf/meta.yaml b/conda/recipes/cudf/meta.yaml
index 0d5b5d16e08..27073eb323b 100644
--- a/conda/recipes/cudf/meta.yaml
+++ b/conda/recipes/cudf/meta.yaml
@@ -72,6 +72,7 @@ requirements:
     - {{ pin_compatible('cudatoolkit', max_pin='x', min_pin='x') }}
     - nvtx >=0.2.1
     - packaging
+    - ptxcompiler >=0.7.0
     - cachetools
     - cubinlinker  # CUDA enhanced compatibility.
     - cuda-python >=11.7.1,<12.0
diff --git a/python/cudf/cudf/__init__.py b/python/cudf/cudf/__init__.py
index b86fb72d955..49fc0898fe2 100644
--- a/python/cudf/cudf/__init__.py
+++ b/python/cudf/cudf/__init__.py
@@ -91,10 +91,9 @@
     # cuDF requires a stronger set of conditions than what is
     # checked by patch_numba_linker_if_needed due to the PTX
     # files needed for JIT Groupby Apply and string UDFs
-    from cudf.core.udf.groupby_utils import dev_func_ptx
-    from cudf.core.udf.utils import _setup_numba_linker
+    from cudf.core.udf.utils import _setup_numba_linker, ptx_file
 
-    _setup_numba_linker(dev_func_ptx)
+    _setup_numba_linker(ptx_file)
 
     del patch_numba_linker_if_needed
 
diff --git a/python/cudf/cudf/core/udf/groupby_utils.py b/python/cudf/cudf/core/udf/groupby_utils.py
index a1174835db9..dc31cf43292 100644
--- a/python/cudf/cudf/core/udf/groupby_utils.py
+++ b/python/cudf/cudf/core/udf/groupby_utils.py
@@ -1,6 +1,5 @@
 # Copyright (c) 2022-2023, NVIDIA CORPORATION.
 
-import os
 
 import cupy as cp
 import numpy as np
@@ -22,16 +21,12 @@
 from cudf.core.udf.utils import (
     _get_extensionty_size,
     _get_kernel,
-    _get_ptx_file,
     _get_udf_return_type,
     _supported_cols_from_frame,
     _supported_dtypes_from_frame,
 )
 from cudf.utils.utils import _cudf_nvtx_annotate
 
-dev_func_ptx = _get_ptx_file(os.path.dirname(__file__), "function_")
-cudf.core.udf.utils.ptx_files.append(dev_func_ptx)
-
 
 def _get_frame_groupby_type(dtype, index_dtype):
     """
diff --git a/python/cudf/cudf/core/udf/utils.py b/python/cudf/cudf/core/udf/utils.py
index 4bba4f123ed..1ae633c0a32 100644
--- a/python/cudf/cudf/core/udf/utils.py
+++ b/python/cudf/cudf/core/udf/utils.py
@@ -2,7 +2,7 @@
 
 import glob
 import os
-from typing import Any, Callable, Dict, List
+from typing import Any, Callable, Dict
 
 import cachetools
 import cupy as cp
@@ -64,7 +64,6 @@
 MASK_BITSIZE = np.dtype("int32").itemsize * 8
 
 precompiled: cachetools.LRUCache = cachetools.LRUCache(maxsize=32)
-ptx_files: List[Any] = []
 launch_arg_getters: Dict[Any, Any] = {}
 
 
@@ -259,7 +258,7 @@ def _get_kernel(kernel_string, globals_, sig, func):
     globals_["f_"] = f_
     exec(kernel_string, globals_)
     _kernel = globals_["_kernel"]
-    kernel = cuda.jit(sig, link=ptx_files, extensions=[str_view_arg_handler])(
+    kernel = cuda.jit(sig, link=[ptx_file], extensions=[str_view_arg_handler])(
         _kernel
     )
 
@@ -466,5 +465,4 @@ def column_to_string_view_array_init_heap(col):
     return column_to_string_view_array(col)
 
 
-strings_ptx_file = _get_ptx_file(os.path.dirname(__file__), "shim_")
-ptx_files.append(strings_ptx_file)
+ptx_file = _get_ptx_file(os.path.dirname(__file__), "shim_")