Use Numba Config to turn on Pynvjitlink Features

conda/environments/all_cuda-118_arch-x86_64.yaml

@@ -55,7 +55,7 @@ dependencies:
 - nbsphinx
 - ninja
 - notebook
-- numba-cuda>=0.0.13,<0.0.18
+- numba-cuda>=0.2.0,<0.3.0
 - numpy>=1.23,<3.0a0
 - numpydoc
 - nvcc_linux-64=11.8

conda/environments/all_cuda-125_arch-x86_64.yaml

@@ -54,7 +54,7 @@ dependencies:
 - nbsphinx
 - ninja
 - notebook
-- numba-cuda>=0.0.13,<0.0.18
+- numba-cuda>=0.2.0,<0.3.0
 - numpy>=1.23,<3.0a0
 - numpydoc
 - nvcomp==4.1.0.6

conda/recipes/cudf/meta.yaml

@@ -1,4 +1,4 @@
-# Copyright (c) 2018-2024, NVIDIA CORPORATION.
+# Copyright (c) 2018-2025, NVIDIA CORPORATION.
 
 {% set version = environ['RAPIDS_PACKAGE_VERSION'].lstrip('v') %}
 {% set minor_version = version.split('.')[0] + '.' + version.split('.')[1] %}
@@ -80,7 +80,7 @@ requirements:
     - typing_extensions >=4.0.0
     - pandas >=2.0,<2.2.4dev0
     - cupy >=12.0.0
-    - numba-cuda >=0.0.13,<0.0.18
+    - numba-cuda >=0.2.0,<0.3.0
     - numpy >=1.23,<3.0a0
     - pyarrow>=14.0.0,<18.0.0a0
     - libcudf ={{ version }}

dependencies.yaml

@@ -688,7 +688,7 @@ dependencies:
       - output_types: [conda, requirements, pyproject]
         packages:
           - cachetools
-          - &numba-cuda-dep numba-cuda>=0.0.13,<0.0.18
+          - &numba-cuda-dep numba-cuda>=0.2.0,<0.3.0
           - nvtx>=0.2.1
           - packaging
           - rich
@@ -810,11 +810,11 @@ dependencies:
         matrices:
           - matrix: {dependencies: "oldest"}
             packages:
-              - *numba-cuda-dep
+              - numba-cuda==0.2.0
               - pandas==2.0.*
           - matrix: {dependencies: "latest"}
             packages:
-              - numba-cuda==0.0.15
+              - *numba-cuda-dep
               - pandas==2.2.3
           - matrix:
             packages:

python/cudf/cudf/utils/_numba.py

@@ -1,4 +1,4 @@
-# Copyright (c) 2023-2024, NVIDIA CORPORATION.
+# Copyright (c) 2023-2025, NVIDIA CORPORATION.
 
 import glob
 import os
@@ -130,9 +130,7 @@ def _setup_numba():
             if driver_version < (12, 0):
                 patch_numba_linker_cuda_11()
             else:
-                from pynvjitlink.patch import patch_numba_linker
-
-                patch_numba_linker()
+                numba_config.CUDA_ENABLE_PYNVJITLINK = True
 
 
 class _CUDFNumbaConfig:

python/cudf/pyproject.toml

@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2024, NVIDIA CORPORATION.
+# Copyright (c) 2021-2025, NVIDIA CORPORATION.
 
 [build-system]
 build-backend = "rapids_build_backend.build"
@@ -24,7 +24,7 @@ dependencies = [
     "cupy-cuda11x>=12.0.0",
     "fsspec>=0.6.0",
     "libcudf==25.2.*,>=0.0.0a0",
-    "numba-cuda>=0.0.13,<0.0.18",
+    "numba-cuda>=0.2.0,<0.3.0",
     "numpy>=1.23,<3.0a0",
     "nvtx>=0.2.1",
     "packaging",

python/dask_cudf/pyproject.toml

@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2024, NVIDIA CORPORATION.
+# Copyright (c) 2021-2025, NVIDIA CORPORATION.
 
 [build-system]
 build-backend = "rapids_build_backend.build"
@@ -47,7 +47,7 @@ cudf = "dask_cudf.backends:CudfDXBackendEntrypoint"
 [project.optional-dependencies]
 test = [
     "dask-cuda==25.2.*,>=0.0.0a0",
-    "numba-cuda>=0.0.13,<0.0.18",
+    "numba-cuda>=0.2.0,<0.3.0",
     "pytest-cov",
     "pytest-xdist",
     "pytest<8",