diff --git a/numba_cuda/numba/cuda/cuda_paths.py b/numba_cuda/numba/cuda/cuda_paths.py
index 1c7f8e827..80a731343 100644
--- a/numba_cuda/numba/cuda/cuda_paths.py
+++ b/numba_cuda/numba/cuda/cuda_paths.py
@@ -1,27 +1,18 @@
 # SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: BSD-2-Clause
 
-import sys
 import os
 from collections import namedtuple
-import platform
-import importlib.metadata
-from numba.cuda.core.config import IS_WIN32
-from numba.cuda.misc.findlib import find_lib
-from numba.cuda import config
+from contextlib import contextmanager
+
 from cuda import pathfinder
+
+from numba.cuda import config
+
 import pathlib
-from contextlib import contextmanager
 
 _env_path_tuple = namedtuple("_env_path_tuple", ["by", "info"])
 
-SEARCH_PRIORITY = [
-    "Conda environment",
-    "NVIDIA NVCC Wheel",
-    "CUDA_HOME",
-    "System",
-]
-
 
 @contextmanager
 def temporary_env_var(key, value):
@@ -37,390 +28,12 @@ def temporary_env_var(key, value):
             os.environ[key] = old_value
 
 
-def _get_distribution(distribution_name):
-    """Get the distribution path using importlib.metadata, returning None if not found."""
-    try:
-        dist = importlib.metadata.distribution(distribution_name)
-        return dist
-    except importlib.metadata.PackageNotFoundError:
-        return None
-
-
-def _priority_index(label):
-    if label in SEARCH_PRIORITY:
-        return SEARCH_PRIORITY.index(label)
-    else:
-        raise ValueError(f"Can't determine search priority for {label}")
-
-
-def _find_first_valid_lazy(options):
-    sorted_options = sorted(options, key=lambda x: _priority_index(x[0]))
-    for label, fn in sorted_options:
-        value = fn()
-        if value:
-            return label, value
-    return "<unknown>", None
-
-
-def _build_options(pairs):
-    """Sorts and returns a list of (label, value) tuples according to SEARCH_PRIORITY."""
-    priority_index = {label: i for i, label in enumerate(SEARCH_PRIORITY)}
-    return sorted(
-        pairs, key=lambda pair: priority_index.get(pair[0], float("inf"))
-    )
-
-
-def _find_valid_path(options):
-    """Find valid path from *options*, which is a list of 2-tuple of
-    (name, path).  Return first pair where *path* is not None.
-    If no valid path is found, return ('<unknown>', None)
-    """
-    for by, data in options:
-        if data is not None:
-            return by, data
-    else:
-        return "<unknown>", None
-
-
-def _get_libdevice_path_decision():
-    options = _build_options(
-        [
-            ("Conda environment", get_libdevice_conda_path),
-            ("NVIDIA NVCC Wheel", get_libdevice_wheel_path),
-            (
-                "CUDA_HOME",
-                lambda: get_cuda_home("nvvm", "libdevice", "libdevice.10.bc"),
-            ),
-            (
-                "System",
-                lambda: get_system_ctk("nvvm", "libdevice", "libdevice.10.bc"),
-            ),
-        ]
-    )
-    return _find_first_valid_lazy(options)
-
-
 def _get_libdevice_path():
-    by, out = _get_libdevice_path_decision()
-    if not out:
-        return _env_path_tuple(by, None)
-    return _env_path_tuple(by, out)
-
-
-def _cuda_static_libdir():
-    if IS_WIN32:
-        return ("lib", "x64")
-    else:
-        return ("lib64",)
-
-
-def _get_cudalib_wheel_libdir():
-    """Get the cudalib path from the cudart wheel."""
-    cuda_module_lib_dir = None
-    cuda_runtime_distribution = _get_distribution("nvidia-cuda-runtime-cu12")
-    if cuda_runtime_distribution is not None:
-        site_packages_path = cuda_runtime_distribution.locate_file("")
-        cuda_module_lib_dir = os.path.join(
-            site_packages_path,
-            "nvidia",
-            "cuda_runtime",
-            "bin" if IS_WIN32 else "lib",
-        )
-    else:
-        cuda_runtime_distribution = _get_distribution("nvidia-cuda-runtime")
-        if (
-            cuda_runtime_distribution is not None
-            and cuda_runtime_distribution.version.startswith("13.")
-        ):
-            site_packages_path = cuda_runtime_distribution.locate_file("")
-            cuda_module_lib_dir = os.path.join(
-                site_packages_path,
-                "nvidia",
-                "cu13",
-                "bin" if IS_WIN32 else "lib",
-                "x86_64" if IS_WIN32 else "",
-            )
-
-    if cuda_module_lib_dir is None:
-        return None
-
-    if cuda_module_lib_dir and os.path.isdir(cuda_module_lib_dir):
-        return cuda_module_lib_dir
-    return None
-
-
-def _get_cudalib_dir_path_decision():
-    options = _build_options(
-        [
-            ("Conda environment", get_conda_ctk_libdir),
-            ("NVIDIA NVCC Wheel", _get_cudalib_wheel_libdir),
-            ("CUDA_HOME", get_cuda_home_libdir),
-            ("System", get_system_ctk_libdir),
-        ]
-    )
-    return _find_first_valid_lazy(options)
-
-
-def _get_static_cudalib_dir_path_decision():
-    options = _build_options(
-        [
-            ("Conda environment", get_conda_ctk_libdir),
-            ("NVIDIA NVCC Wheel", get_wheel_static_libdir),
-            (
-                "CUDA_HOME",
-                lambda: get_cuda_home(*_cuda_static_libdir()),
-            ),
-            ("System", lambda: get_system_ctk(*_cuda_static_libdir())),
-        ]
-    )
-    return _find_first_valid_lazy(options)
-
-
-def _get_cudalib_dir():
-    by, libdir = _get_cudalib_dir_path_decision()
-    return _env_path_tuple(by, libdir)
-
-
-def _get_static_cudalib_dir():
-    by, libdir = _get_static_cudalib_dir_path_decision()
-    return _env_path_tuple(by, libdir)
-
-
-def get_system_ctk(*subdirs):
-    """Return path to system-wide cudatoolkit; or, None if it doesn't exist."""
-    # Linux?
-    if not IS_WIN32:
-        # Is cuda alias to /usr/local/cuda?
-        # We are intentionally not getting versioned cuda installation.
-        result = os.path.join("/usr/local/cuda", *subdirs)
-        if os.path.exists(result):
-            return result
-        return None
-    return None
-
-
-def get_system_ctk_libdir():
-    """Return path to directory containing the shared libraries of cudatoolkit."""
-    system_ctk_dir = get_system_ctk()
-    if system_ctk_dir is None:
-        return None
-    libdir = os.path.join(
-        system_ctk_dir,
-        "Library" if IS_WIN32 else "lib64",
-        "bin" if IS_WIN32 else "",
-    )
-    # Windows CUDA 13 system CTK uses "bin\x64" directory
-    if IS_WIN32 and os.path.isdir(os.path.join(libdir, "x64")):
-        libdir = os.path.join(libdir, "x64")
-
-    if libdir and os.path.isdir(libdir):
-        return os.path.normpath(libdir)
-    return None
-
-
-def get_conda_ctk_libdir():
-    """Return path to directory containing the shared libraries of cudatoolkit."""
-    is_conda_env = os.path.isdir(os.path.join(sys.prefix, "conda-meta"))
-    if not is_conda_env:
-        return None
-    libdir = os.path.join(
-        sys.prefix,
-        "Library" if IS_WIN32 else "lib",
-        "bin" if IS_WIN32 else "",
-    )
-    # Windows CUDA 13.0.0 uses "bin\x64" directory but 13.0.1+ just uses "bin" directory
-    if IS_WIN32 and os.path.isdir(os.path.join(libdir, "x64")):
-        libdir = os.path.join(libdir, "x64")
-    # Assume the existence of nvrtc to imply needed CTK libraries are installed
-    paths = find_lib("nvrtc", libdir)
-    if not paths:
-        return None
-    # Use the directory name of the max path
-    return os.path.dirname(max(paths))
-
-
-def get_libdevice_conda_path():
-    """Return path to directory containing the libdevice bitcode library."""
-    is_conda_env = os.path.isdir(os.path.join(sys.prefix, "conda-meta"))
-    if not is_conda_env:
-        return None
-
-    # Linux: nvvm/libdevice/libdevice.10.bc
-    # Windows: Library/nvvm/libdevice/libdevice.10.bc
-    libdevice_path = os.path.join(
-        sys.prefix,
-        "Library" if IS_WIN32 else "",
-        "nvvm",
-        "libdevice",
-        "libdevice.10.bc",
-    )
-    if os.path.isfile(libdevice_path):
-        return libdevice_path
-    return None
-
-
-def get_wheel_static_libdir():
-    cuda_module_static_lib_dir = None
-    # CUDA 12
-    cuda_runtime_distribution = _get_distribution("nvidia-cuda-runtime-cu12")
-    if cuda_runtime_distribution is not None:
-        site_packages_path = cuda_runtime_distribution.locate_file("")
-        cuda_module_static_lib_dir = os.path.join(
-            site_packages_path,
-            "nvidia",
-            "cuda_runtime",
-            "lib",
-            "x64" if IS_WIN32 else "",
-        )
-    else:
-        cuda_runtime_distribution = _get_distribution("nvidia-cuda-runtime")
-        if (
-            cuda_runtime_distribution is not None
-            and cuda_runtime_distribution.version.startswith("13.")
-        ):
-            site_packages_path = cuda_runtime_distribution.locate_file("")
-            cuda_module_static_lib_dir = os.path.join(
-                site_packages_path,
-                "nvidia",
-                "cu13",
-                "lib",
-                "x64" if IS_WIN32 else "",
-            )
-
-    if cuda_module_static_lib_dir is None:
-        return None
-
-    cudadevrt_path = os.path.join(
-        cuda_module_static_lib_dir,
-        "cudadevrt.lib" if IS_WIN32 else "libcudadevrt.a",
-    )
-
-    if cudadevrt_path and os.path.isfile(cudadevrt_path):
-        return os.path.dirname(cudadevrt_path)
-    return None
-
-
-def get_cuda_home(*subdirs):
-    """Get paths of CUDA_HOME.
-    If *subdirs* are the subdirectory name to be appended in the resulting
-    path.
-    """
-    cuda_home = os.environ.get("CUDA_HOME")
-    if cuda_home is None:
-        # Try Windows CUDA installation without Anaconda
-        cuda_home = os.environ.get("CUDA_PATH")
-    if cuda_home is not None:
-        return os.path.join(cuda_home, *subdirs)
-    return None
-
-
-def get_cuda_home_libdir():
-    """Return path to directory containing the shared libraries of cudatoolkit."""
-    cuda_home_dir = get_cuda_home()
-    if cuda_home_dir is None:
-        return None
-    libdir = os.path.join(
-        cuda_home_dir,
-        "Library" if IS_WIN32 else "lib64",
-        "bin" if IS_WIN32 else "",
-    )
-    # Windows CUDA 13 system CTK uses "bin\x64" directory while conda just uses "bin" directory
-    if IS_WIN32 and os.path.isdir(os.path.join(libdir, "x64")):
-        libdir = os.path.join(libdir, "x64")
-    return os.path.normpath(libdir)
-
-
-def get_cuda_paths():
-    """Returns a dictionary mapping component names to a 2-tuple
-    of (source_variable, info).
-
-    The returned dictionary will have the following keys and infos:
-    - "nvrtc": file_path
-    - "nvvm": file_path
-    - "libdevice": file_path
-    - "cudalib_dir": directory_path
-    - "static_cudalib_dir": directory_path
-    - "include_dir": directory_path
-
-    Note: The result of the function is cached.
-    """
-    # Check cache
-    if hasattr(get_cuda_paths, "_cached_result"):
-        return get_cuda_paths._cached_result
-    else:
-        # Not in cache
-        d = {
-            "nvrtc": _get_nvrtc_path(),
-            "nvvm": _get_nvvm_path(),
-            "libdevice": _get_libdevice_path(),
-            "cudalib_dir": _get_cudalib_dir(),
-            "static_cudalib_dir": _get_static_cudalib_dir(),
-            "include_dir": _get_include_dir(),
-        }
-        # Cache result
-        get_cuda_paths._cached_result = d
-        return d
-
-
-def get_libdevice_wheel_path():
-    libdevice_path = None
-    # CUDA 12
-    nvvm_distribution = _get_distribution("nvidia-cuda-nvcc-cu12")
-    if nvvm_distribution is not None:
-        site_packages_path = nvvm_distribution.locate_file("")
-        libdevice_path = os.path.join(
-            site_packages_path,
-            "nvidia",
-            "cuda_nvcc",
-            "nvvm",
-            "libdevice",
-            "libdevice.10.bc",
-        )
-
-    # CUDA 13
-    if libdevice_path is None:
-        nvvm_distribution = _get_distribution("nvidia-nvvm")
-        if (
-            nvvm_distribution is not None
-            and nvvm_distribution.version.startswith("13.")
-        ):
-            site_packages_path = nvvm_distribution.locate_file("")
-            libdevice_path = os.path.join(
-                site_packages_path,
-                "nvidia",
-                "cu13",
-                "nvvm",
-                "libdevice",
-                "libdevice.10.bc",
-            )
-
-    if libdevice_path and os.path.isfile(libdevice_path):
-        return libdevice_path
-    return None
-
-
-def get_current_cuda_target_name():
-    """Determine conda's CTK target folder based on system and machine arch.
-
-    CTK's conda package delivers headers based on its architecture type. For example,
-    `x86_64` machine places header under `$CONDA_PREFIX/targets/x86_64-linux`, and
-    `aarch64` places under `$CONDA_PREFIX/targets/sbsa-linux`. Read more about the
-    nuances at cudart's conda feedstock:
-    https://github.com/conda-forge/cuda-cudart-feedstock/blob/main/recipe/meta.yaml#L8-L11  # noqa: E501
-    """
-    system = platform.system()
-    machine = platform.machine()
-
-    if system == "Linux":
-        arch_to_targets = {"x86_64": "x86_64-linux", "aarch64": "sbsa-linux"}
-    elif system == "Windows":
-        arch_to_targets = {
-            "AMD64": "x64",
-        }
-    else:
-        arch_to_targets = {}
-
-    return arch_to_targets.get(machine, None)
+    try:
+        located = pathfinder.locate_bitcode_lib("device")
+        return _env_path_tuple(located.found_via, located.abs_path)
+    except pathfinder.BitcodeLibNotFoundError:
+        return _env_path_tuple("<unknown>", None)
 
 
 def _get_include_dir():
@@ -455,7 +68,6 @@ def _find_cuda_home_from_lib_path(lib_path):
     """
     current = pathlib.Path(lib_path).resolve()
 
-    # Walk up the directory tree
     for parent in current.parents:
         nvvm_subdir = parent / "nvvm"
         if nvvm_subdir.is_dir():
@@ -470,7 +82,6 @@ def _get_nvvm():
     # 2. If CUDA_HOME/CUDA_PATH are set, pathfinder would have found it - give up
     # 3. Use nvrtc's location to infer CUDA installation root
     # 4. Temporarily set CUDA_HOME and retry pathfinder
-    # First, try pathfinder directly
     try:
         return pathfinder.load_nvidia_dynamic_lib("nvvm")
     except pathfinder.DynamicLibNotFoundError as e:
@@ -481,30 +92,27 @@ def _raise_original(reason: str) -> None:
             f"{reason}; original nvvm error: {nvvm_exc}"
         ) from nvvm_exc
 
-    # If CUDA_HOME or CUDA_PATH is set, pathfinder would have found libnvvm
-    # based on the environment variable(s) - nothing more we can do
     if os.environ.get("CUDA_HOME") or os.environ.get("CUDA_PATH"):
         _raise_original("nvvm not found and CUDA_HOME/CUDA_PATH is set")
-    # Try to locate nvrtc - this library is almost certainly needed if nvvm is needed (in the context of numba-cuda)
+
     try:
         loaded_nvrtc = _get_nvrtc()
     except Exception as nvrtc_exc:
         raise pathfinder.DynamicLibNotFoundError(
             f"nvrtc load failed while inferring CUDA_HOME; original nvvm error: {nvvm_exc}"
         ) from nvrtc_exc
-    # If nvrtc was not found via system-search, we can't reliably determine
-    # the CUDA installation structure
+
     if loaded_nvrtc.found_via != "system-search":
         _raise_original(
             f"nvrtc found via {loaded_nvrtc.found_via}, cannot infer CUDA_HOME"
         )
-    # Search backward from nvrtc's location to find a directory with "nvvm" subdirectory
+
     cuda_home = _find_cuda_home_from_lib_path(loaded_nvrtc.abs_path)
     if cuda_home is None:
         _raise_original(
             f"nvrtc path did not map to CUDA_HOME ({loaded_nvrtc.abs_path})"
         )
-    # Temporarily set CUDA_HOME and retry pathfinder
+
     with temporary_env_var("CUDA_HOME", cuda_home):
         try:
             library = pathfinder.load_nvidia_dynamic_lib("nvvm")
@@ -522,12 +130,46 @@ def _get_nvrtc():
 
 
 def _get_nvrtc_path():
-    # the pathfinder API will either find the library or raise
     nvrtc = _get_nvrtc()
     return _env_path_tuple(nvrtc.found_via, nvrtc.abs_path)
 
 
 def _get_nvvm_path():
-    # the pathfinder API will either find the library or raise
     nvvm = _get_nvvm()
     return _env_path_tuple(nvvm.found_via, nvvm.abs_path)
+
+
+def _get_static_cudalib_path(name):
+    """Find a static library via pathfinder."""
+    try:
+        located = pathfinder.locate_static_lib(name)
+        return _env_path_tuple(located.found_via, located.abs_path)
+    except pathfinder.StaticLibNotFoundError:
+        return _env_path_tuple("<unknown>", None)
+
+
+def get_cuda_paths():
+    """Returns a dictionary mapping component names to a 2-tuple
+    of (source_variable, info).
+
+    The returned dictionary will have the following keys and infos:
+    - "nvrtc": file_path
+    - "nvvm": file_path
+    - "libdevice": file_path
+    - "cudadevrt": file_path
+    - "include_dir": directory_path
+
+    Note: The result of the function is cached.
+    """
+    if hasattr(get_cuda_paths, "_cached_result"):
+        return get_cuda_paths._cached_result
+    else:
+        d = {
+            "nvrtc": _get_nvrtc_path(),
+            "nvvm": _get_nvvm_path(),
+            "libdevice": _get_libdevice_path(),
+            "cudadevrt": _get_static_cudalib_path("cudadevrt"),
+            "include_dir": _get_include_dir(),
+        }
+        get_cuda_paths._cached_result = d
+        return d
diff --git a/numba_cuda/numba/cuda/cudadrv/libs.py b/numba_cuda/numba/cuda/cudadrv/libs.py
index f99eb2b71..a58a2ffe1 100644
--- a/numba_cuda/numba/cuda/cudadrv/libs.py
+++ b/numba_cuda/numba/cuda/cudadrv/libs.py
@@ -3,37 +3,20 @@
 
 """CUDA Toolkit libraries lookup utilities.
 
-CUDA Toolkit libraries can be available via either:
-
-- the `cuda-nvcc` and `cuda-nvrtc` conda packages,
-- a user supplied location from CUDA_HOME,
-- a system wide location,
-- package-specific locations (e.g. the Debian NVIDIA packages),
-- or can be discovered by the system loader.
+All path discovery is delegated to ``cuda.pathfinder``.  This module
+provides thin wrappers that expose the results via ``get_cuda_paths()``.
 """
 
 import os
 import sys
 import ctypes
 
-from numba.cuda.misc.findlib import find_lib
 from numba.cuda.cuda_paths import get_cuda_paths
 from numba.cuda.cudadrv.driver import locate_driver_and_loader, load_driver
 from numba.cuda.cudadrv.error import CudaSupportError
 from numba.cuda import config
 
 
-if sys.platform == "win32":
-    _dllnamepattern = "%s.dll"
-    _staticnamepattern = "%s.lib"
-elif sys.platform == "darwin":
-    _dllnamepattern = "lib%s.dylib"
-    _staticnamepattern = "lib%s.a"
-else:
-    _dllnamepattern = "lib%s.so"
-    _staticnamepattern = "lib%s.a"
-
-
 def get_libdevice():
     d = get_cuda_paths()
     paths = d["libdevice"].info
@@ -47,22 +30,26 @@ def open_libdevice():
 
 def get_cudalib(lib, static=False):
     """
-    Find the path of a CUDA library based on a search of known locations. If
-    the search fails, return a generic filename for the library (e.g.
-    'libnvvm.so' for 'nvvm') so that we may attempt to load it using the system
-    loader's search mechanism.
+    Find the path of a CUDA library via pathfinder.  For dynamic libraries
+    (nvrtc, nvvm) the absolute path discovered by pathfinder is returned.
+    For static libraries (cudadevrt) the path is resolved by
+    ``pathfinder.find_static_lib``.
     """
     if lib in {"nvrtc", "nvvm"}:
-        # System search either invoked inside cuda-pathfinder
-        # or, for nvvm, using custom logic inside cuda-paths
         return get_cuda_paths()[lib].info
 
-    dir_type = "static_cudalib_dir" if static else "cudalib_dir"
-    libdir = get_cuda_paths()[dir_type].info
+    if static and lib == "cudadevrt":
+        path = get_cuda_paths()["cudadevrt"].info
+        if path is not None:
+            return path
 
-    candidates = find_lib(lib, libdir, static=static)
-    namepattern = _staticnamepattern if static else _dllnamepattern
-    return max(candidates) if candidates else namepattern % lib
+    if sys.platform == "win32":
+        namepattern = "%s.lib" if static else "%s.dll"
+    elif sys.platform == "darwin":
+        namepattern = "lib%s.a" if static else "lib%s.dylib"
+    else:
+        namepattern = "lib%s.a" if static else "lib%s.so"
+    return namepattern % lib
 
 
 def get_cuda_include_dir():
@@ -93,17 +80,11 @@ def check_static_lib(path):
 
 
 def _get_source_variable(lib, static=False):
-    if lib == "nvvm":
-        return get_cuda_paths()["nvvm"].by
-    elif lib == "nvrtc":
-        return get_cuda_paths()["nvrtc"].by
-    elif lib == "libdevice":
-        return get_cuda_paths()["libdevice"].by
-    elif lib == "include_dir":
-        return get_cuda_paths()["include_dir"].by
-    else:
-        dir_type = "static_cudalib_dir" if static else "cudalib_dir"
-        return get_cuda_paths()[dir_type].by
+    if lib in {"nvvm", "nvrtc", "libdevice", "include_dir"}:
+        return get_cuda_paths()[lib].by
+    if static and lib == "cudadevrt":
+        return get_cuda_paths()["cudadevrt"].by
+    return "<unknown>"
 
 
 def test():
diff --git a/numba_cuda/numba/cuda/testing.py b/numba_cuda/numba/cuda/testing.py
index d9a295059..f98f2992a 100644
--- a/numba_cuda/numba/cuda/testing.py
+++ b/numba_cuda/numba/cuda/testing.py
@@ -4,10 +4,11 @@
 import os
 import platform
 import shutil
+import sys
+
 import pytest
 from datetime import datetime
 from numba.cuda.utils import PYVERSION
-from numba.cuda.cuda_paths import get_conda_ctk_libdir
 from numba.cuda.cudadrv import driver, devices, libs
 from numba.cuda.dispatcher import CUDADispatcher
 from numba.cuda import config
@@ -202,10 +203,19 @@ def skip_unless_cudasim(reason):
     return unittest.skipUnless(config.ENABLE_CUDASIM, reason)
 
 
+def _is_conda_cudatoolkit():
+    """Check if the CUDA toolkit is available via a conda environment."""
+    is_conda_env = os.path.isdir(os.path.join(sys.prefix, "conda-meta"))
+    if not is_conda_env:
+        return False
+    conda_prefix = os.environ.get("CONDA_PREFIX")
+    return conda_prefix is not None
+
+
 def skip_unless_conda_cudatoolkit(reason):
     """Skip test if the CUDA toolkit was not installed by Conda"""
     assert isinstance(reason, str)
-    return unittest.skipUnless(get_conda_ctk_libdir() is not None, reason)
+    return unittest.skipUnless(_is_conda_cudatoolkit(), reason)
 
 
 def skip_if_external_memmgr(reason):
diff --git a/numba_cuda/numba/cuda/tests/nocuda/test_library_lookup.py b/numba_cuda/numba/cuda/tests/nocuda/test_library_lookup.py
index 83f9de5cf..545c61a15 100644
--- a/numba_cuda/numba/cuda/tests/nocuda/test_library_lookup.py
+++ b/numba_cuda/numba/cuda/tests/nocuda/test_library_lookup.py
@@ -1,207 +1,42 @@
 # SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: BSD-2-Clause
 
-import sys
-import os
-import multiprocessing as mp
-import warnings
 import pathlib
+import tempfile
 
-from numba.cuda.core.config import IS_WIN32
-from numba.cuda.core.errors import NumbaWarning
-from numba.cuda.cudadrv import nvvm
-from numba.cuda.testing import (
-    unittest,
-    skip_on_cudasim,
-    skip_unless_conda_cudatoolkit,
-)
+from numba.cuda.testing import unittest
 from numba.cuda.cuda_paths import (
-    _get_libdevice_path_decision,
-    _get_cudalib_dir_path_decision,
-    get_system_ctk,
-    get_system_ctk_libdir,
     _find_cuda_home_from_lib_path,
+    get_cuda_paths,
 )
 
 
-has_cuda = nvvm.is_available()
-has_mp_get_context = hasattr(mp, "get_context")
-
-
-class LibraryLookupBase(unittest.TestCase):
-    def setUp(self):
-        ctx = mp.get_context("spawn")
-
-        qrecv = ctx.Queue()
-        qsend = ctx.Queue()
-        self.qsend = qsend
-        self.qrecv = qrecv
-        self.child_process = ctx.Process(
-            target=check_lib_lookup,
-            args=(qrecv, qsend),
-            daemon=True,
-        )
-        self.child_process.start()
-
-    def tearDown(self):
-        self.qsend.put(self.do_terminate)
-        self.child_process.join(3)
-        # Ensure the process is terminated
-        self.assertIsNotNone(self.child_process)
-
-    def remote_do(self, action):
-        self.qsend.put(action)
-        out = self.qrecv.get()
-        self.assertNotIsInstance(out, BaseException)
-        return out
-
-    @staticmethod
-    def do_terminate():
-        return False, None
-
-
-def remove_env(name):
-    try:
-        del os.environ[name]
-    except KeyError:
-        return False
-    else:
-        return True
-
-
-def check_lib_lookup(qout, qin):
-    status = True
-    while status:
-        try:
-            action = qin.get()
-        except Exception as e:
-            qout.put(e)
-            status = False
-        else:
-            try:
-                with warnings.catch_warnings(record=True) as w:
-                    warnings.simplefilter("always", NumbaWarning)
-                    status, result = action()
-                qout.put(result + (w,))
-            except Exception as e:
-                qout.put(e)
-                status = False
-
-
-@skip_on_cudasim("Library detection unsupported in the simulator")
-@unittest.skipUnless(has_mp_get_context, "mp.get_context not available")
-@skip_unless_conda_cudatoolkit("test assumes conda installed cudatoolkit")
-class TestLibDeviceLookUp(LibraryLookupBase):
-    def test_libdevice_path_decision(self):
-        # Check that the default is using conda environment
-        by, info, warns = self.remote_do(self.do_clear_envs)
-        if has_cuda:
-            self.assertEqual(by, "Conda environment")
-        else:
-            self.assertEqual(by, "<unknown>")
-            self.assertIsNone(info)
-        self.assertFalse(warns)
-        # Check that CUDA_HOME works by removing conda-env
-        by, info, warns = self.remote_do(self.do_set_cuda_home)
-        self.assertEqual(by, "CUDA_HOME")
-        self.assertTrue(
-            info.startswith(os.path.join("mycudahome", "nvvm", "libdevice"))
-        )
-        self.assertFalse(warns)
-
-        if get_system_ctk("nvvm", "libdevice") is None:
-            # Fake remove conda environment so no cudatoolkit is available
-            by, info, warns = self.remote_do(self.do_clear_envs)
-            self.assertEqual(by, "<unknown>")
-            self.assertIsNone(info)
-            self.assertFalse(warns)
-        else:
-            # Use system available cudatoolkit
-            by, info, warns = self.remote_do(self.do_clear_envs)
-            self.assertEqual(by, "System")
-            self.assertFalse(warns)
-
-    @staticmethod
-    def do_clear_envs():
-        remove_env("CUDA_HOME")
-        remove_env("CUDA_PATH")
-        return True, _get_libdevice_path_decision()
-
-    @staticmethod
-    def do_set_cuda_home():
-        os.environ["CUDA_HOME"] = os.path.join("mycudahome")
-        _fake_non_conda_env()
-        return True, _get_libdevice_path_decision()
-
-
-@skip_on_cudasim("Library detection unsupported in the simulator")
-@unittest.skipUnless(has_mp_get_context, "mp.get_context not available")
-@skip_unless_conda_cudatoolkit("test assumes conda installed cudatoolkit")
-class TestCudaLibLookUp(LibraryLookupBase):
-    def test_cudalib_path_decision(self):
-        # Check that the default is using conda environment
-        by, info, warns = self.remote_do(self.do_clear_envs)
-        if has_cuda:
-            self.assertEqual(by, "Conda environment")
-        else:
-            self.assertEqual(by, "<unknown>")
-            self.assertIsNone(info)
-        self.assertFalse(warns)
-
-        # Check that CUDA_HOME works by removing conda-env
-        self.remote_do(self.do_clear_envs)
-        by, info, warns = self.remote_do(self.do_set_cuda_home)
-        self.assertEqual(by, "CUDA_HOME")
-        self.assertFalse(warns)
-        if IS_WIN32:
-            # I think only wheels don't have the "Library" directory?
+class TestGetCudaPaths(unittest.TestCase):
+    def test_expected_keys(self):
+        """get_cuda_paths() should return all expected component keys."""
+        d = get_cuda_paths()
+        expected_keys = {"nvrtc", "nvvm", "libdevice", "cudadevrt", "include_dir"}
+        self.assertEqual(set(d.keys()), expected_keys)
+
+    def test_values_are_named_tuples(self):
+        """Each value should be an _env_path_tuple with 'by' and 'info'."""
+        d = get_cuda_paths()
+        for key, val in d.items():
             self.assertTrue(
-                info
-                in (
-                    os.path.join("mycudahome", "bin"),
-                    os.path.join("mycudahome", "Library", "bin"),
-                )
+                hasattr(val, "by") and hasattr(val, "info"),
+                f"{key} value missing 'by' or 'info' attributes",
             )
-        else:
-            self.assertEqual(info, os.path.join("mycudahome", "lib64"))
-        if get_system_ctk_libdir() is None:
-            # Fake remove conda environment so no cudatoolkit is available
-            by, info, warns = self.remote_do(self.do_clear_envs)
-            self.assertEqual(by, "<unknown>")
-            self.assertIsNone(info)
-            self.assertFalse(warns)
-        else:
-            # Use system available cudatoolkit
-            by, info, warns = self.remote_do(self.do_clear_envs)
-            self.assertEqual(by, "System")
-            self.assertFalse(warns)
-
-    @staticmethod
-    def do_clear_envs():
-        remove_env("CUDA_HOME")
-        remove_env("CUDA_PATH")
-        return True, _get_cudalib_dir_path_decision()
-
-    @staticmethod
-    def do_set_cuda_home():
-        os.environ["CUDA_HOME"] = os.path.join("mycudahome")
-        _fake_non_conda_env()
-        return True, _get_cudalib_dir_path_decision()
-
-
-def _fake_non_conda_env():
-    """
-    Monkeypatch sys.prefix to hide the fact we are in a conda-env
-    """
-    sys.prefix = ""
+
+    def test_result_is_cached(self):
+        """Repeated calls should return the same dict object."""
+        d1 = get_cuda_paths()
+        d2 = get_cuda_paths()
+        self.assertIs(d1, d2)
 
 
 class TestCudaHomeDetection(unittest.TestCase):
     def test_find_cuda_home(self):
         """Test the directory walking logic."""
-        import tempfile
-
-        # Create a mock CUDA installation structure
         with tempfile.TemporaryDirectory() as tmpdir:
             cuda_root = pathlib.Path(tmpdir) / "cuda"
             lib64 = cuda_root / "lib64"
@@ -211,25 +46,31 @@ def test_find_cuda_home(self):
             lib64.mkdir(parents=True)
             nvvm_lib64.mkdir(parents=True)
 
-            # Create mock library files
             nvrtc_path = lib64 / "libnvrtc.so.12"
             nvrtc_path.touch()
 
             nvvm_lib = nvvm_lib64 / "libnvvm.so.4"
             nvvm_lib.touch()
 
-            # Test finding CUDA_HOME from nvrtc path
             found_cuda_home = _find_cuda_home_from_lib_path(str(nvrtc_path))
 
-            # Compare resolved paths to handle Windows short path names (e.g., RGROSS~1)
             expected = str(cuda_root.resolve())
             assert found_cuda_home == expected, (
                 f"Expected {expected}, got {found_cuda_home}"
             )
 
-            # Test that the nvvm directory exists at the found location
             assert (pathlib.Path(found_cuda_home) / "nvvm").is_dir()
 
+    def test_find_cuda_home_no_nvvm(self):
+        """Walking up with no nvvm directory returns None."""
+        with tempfile.TemporaryDirectory() as tmpdir:
+            lib_path = pathlib.Path(tmpdir) / "lib64" / "libnvrtc.so.12"
+            lib_path.parent.mkdir(parents=True)
+            lib_path.touch()
+
+            result = _find_cuda_home_from_lib_path(str(lib_path))
+            self.assertIsNone(result)
+
 
 if __name__ == "__main__":
     unittest.main()
diff --git a/pixi.lock b/pixi.lock
index 465d03974..138703896 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -212,7 +212,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc-tools-12.0.76-h59595ed_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc_linux-64-12.0.76-hba56722_12.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvrtc-12.0.76-hd3aeb46_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.3.4-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.4.0-pyhc364b38_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-python-12.9.5-pyh698daf1_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-12.0-hffde075_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.4.0-pyhd8ed1ab_0.conda
@@ -318,7 +318,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvcc-tools-12.0.76-hac28a21_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvcc_linux-aarch64-12.0.76-h028b88b_12.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvrtc-12.0.76-hac28a21_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.3.4-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.4.0-pyhc364b38_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-python-12.9.5-pyh698daf1_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-12.0-hffde075_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.4.0-pyhd8ed1ab_0.conda
@@ -419,7 +419,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-nvcc-tools-12.0.76-h63175ca_1.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-nvcc_win-64-12.0.76-h8f04d04_12.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-nvrtc-12.0.76-h63175ca_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.3.4-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.4.0-pyhc364b38_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-python-12.9.5-pyh698daf1_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-12.0-hffde075_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.4.0-pyhd8ed1ab_0.conda
@@ -485,7 +485,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/win-64/yaml-0.2.5-h6a83c73_3.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda
       - conda: .
-        build: py310h5d23e43_0
+        build: py310hf0cc224_0
       - pypi: https://files.pythonhosted.org/packages/5c/40/69ca9ea803303e14301fff9d4931b6d080b9603e134df0419c55e9764df4/filecheck-1.0.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/c7/a3/51886727bd16e2f47587997b802dd56398692ce8c6c03c2e5bb32ecafe26/ml_dtypes-0.5.4-cp310-cp310-win_amd64.whl
   cu-12-0-py311:
@@ -525,7 +525,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc-tools-12.0.76-h59595ed_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc_linux-64-12.0.76-hba56722_12.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvrtc-12.0.76-hd3aeb46_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.3.4-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.4.0-pyhc364b38_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-python-12.9.5-pyh698daf1_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-12.0-hffde075_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.4.0-pyhd8ed1ab_0.conda
@@ -631,7 +631,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvcc-tools-12.0.76-hac28a21_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvcc_linux-aarch64-12.0.76-h028b88b_12.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvrtc-12.0.76-hac28a21_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.3.4-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.4.0-pyhc364b38_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-python-12.9.5-pyh698daf1_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-12.0-hffde075_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.4.0-pyhd8ed1ab_0.conda
@@ -732,7 +732,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-nvcc-tools-12.0.76-h63175ca_1.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-nvcc_win-64-12.0.76-h8f04d04_12.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-nvrtc-12.0.76-h63175ca_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.3.4-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.4.0-pyhc364b38_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-python-12.9.5-pyh698daf1_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-12.0-hffde075_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.4.0-pyhd8ed1ab_0.conda
@@ -798,7 +798,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/win-64/yaml-0.2.5-h6a83c73_3.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda
       - conda: .
-        build: py311hb9e802a_0
+        build: py311h17f48b4_0
       - pypi: https://files.pythonhosted.org/packages/5c/40/69ca9ea803303e14301fff9d4931b6d080b9603e134df0419c55e9764df4/filecheck-1.0.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/b4/24/70bd59276883fdd91600ca20040b41efd4902a923283c4d6edcb1de128d2/ml_dtypes-0.5.4-cp311-cp311-win_amd64.whl
   cu-12-2-py311:
@@ -845,7 +845,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-nvvm-dev_linux-64-12.2.140-ha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-impl-12.2.140-h59595ed_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-tools-12.2.140-h59595ed_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.3.4-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.4.0-pyhc364b38_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-python-12.9.5-pyh698daf1_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-12.2-he2b69de_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.4.0-pyhd8ed1ab_0.conda
@@ -958,7 +958,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-nvvm-dev_linux-aarch64-12.2.140-h579c4fd_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvvm-impl-12.2.140-hac28a21_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvvm-tools-12.2.140-hac28a21_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.3.4-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.4.0-pyhc364b38_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-python-12.9.5-pyh698daf1_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-12.2-he2b69de_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.4.0-pyhd8ed1ab_0.conda
@@ -1067,7 +1067,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-nvvm-dev_win-64-12.2.140-h57928b3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-nvvm-impl-12.2.140-h63175ca_1.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-nvvm-tools-12.2.140-h63175ca_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.3.4-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.4.0-pyhc364b38_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-python-12.9.5-pyh698daf1_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-12.2-he2b69de_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.4.0-pyhd8ed1ab_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvrtc-13.1.80-h8f3c8d4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvvm-impl-13.1.80-h7b14b0b_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.3.4-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.4.0-pyhc364b38_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-python-13.1.1-pyhc455866_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-13.1-h2ff5cdb_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.21.2-pyhd8ed1ab_1.conda
@@ -5346,7 +5346,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart_win-64-13.1.80-hac47afa_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-nvrtc-13.1.80-hac47afa_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-nvvm-impl-13.1.80-h2466b09_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.3.4-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.4.0-pyhc364b38_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-python-13.1.1-pyhc455866_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-13.1-h2ff5cdb_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.21.2-pyhd8ed1ab_1.conda
@@ -5416,7 +5416,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/win_inet_pton-1.1.0-pyh7428d3b_8.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda
       - conda: .
-        build: py314h625260f_0
+        build: py314h3be3d12_0
       - pypi: https://files.pythonhosted.org/packages/8d/3f/95338030883d8c8b91223b4e21744b04d11b161a3ef117295d8241f50ab4/accessible_pygments-0.0.5-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/1a/39/47f9197bdd44df24d67ac8893641e16f386c984a0619ef2ee4c51fbbc019/beautifulsoup4-4.14.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/8c/79/017fab2f7167a9a9795665f894d04f77aafceca80821b51589bb4b23ff5c/nvidia_sphinx_theme-0.0.9.post1-py3-none-any.whl
@@ -12658,9 +12658,9 @@ packages:
   purls: []
   size: 23093
   timestamp: 1764879706216
-- conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.3.4-pyhcf101f3_0.conda
-  sha256: d8cfe77d65c29f7d7fdd7c2c7334a32c50ff3b71c5ae2638ec5ecb9404ae111e
-  md5: 5531bd855da47b70361e2e2207dd1864
+- conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.4.0-pyhc364b38_0.conda
+  sha256: edf16fdfbcce5bbb445118fd8d070dda8afe36b4b437a94f472fde153bc38151
+  md5: 2d13e524da66b60e6e7d5c6585729ea8
   depends:
   - python >=3.10
   - cuda-version >=12.0,<14
@@ -12668,8 +12668,8 @@ packages:
   license: Apache-2.0
   purls:
   - pkg:pypi/cuda-pathfinder?source=hash-mapping
-  size: 34223
-  timestamp: 1770871765693
+  size: 39327
+  timestamp: 1772059437166
 - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-python-12.9.5-pyh698daf1_0.conda
   sha256: 1a65fd1316c31b7ffe7edde56ceb86665659e0e9c4a3d6f99f7d79f7e936bf8b
   md5: a4fb0d4ffdac1cf2cda9318d2f789d20
@@ -18474,7 +18474,7 @@ packages:
   - cuda-core >=0.5.1,<1
   - cuda-bindings >=12.9,<14
   - cuda-python >=12.9,<14
-  - cuda-pathfinder >=1.3.4,<2
+  - cuda-pathfinder >=1.4.0,<2
   - cuda-cudart
   - libstdcxx >=14
   - libgcc >=14
@@ -18496,7 +18496,7 @@ packages:
   - cuda-core >=0.5.1,<1
   - cuda-bindings >=12.9,<14
   - cuda-python >=12.9,<14
-  - cuda-pathfinder >=1.3.4,<2
+  - cuda-pathfinder >=1.4.0,<2
   - cuda-cudart
   - libstdcxx >=14
   - libgcc >=14
@@ -18506,9 +18506,10 @@ packages:
 - conda: .
   name: numba-cuda
   version: 0.27.0
-  build: py310h5d23e43_0
+  build: py310hf0cc224_0
   subdir: win-64
   variants:
+    cxx_compiler: vs2022
     python: 3.10.*
     target_platform: win-64
   depends:
@@ -18518,21 +18519,23 @@ packages:
   - cuda-core >=0.5.1,<1
   - cuda-bindings >=12.9,<14
   - cuda-python >=12.9,<14
-  - cuda-pathfinder >=1.3.4,<2
+  - cuda-pathfinder >=1.4.0,<2
   - cuda-cudart
-  - vc >=14.1,<15
-  - vc14_runtime >=14.16.27033
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
   - python_abi 3.10.* *_cp310
   - numpy >=1.21,<3
   license: BSD-2-Clause
 - conda: .
   name: numba-cuda
   version: 0.27.0
-  build: py311h2894be0_0
-  subdir: linux-aarch64
+  build: py311h17f48b4_0
+  subdir: win-64
   variants:
+    cxx_compiler: vs2022
     python: 3.11.*
-    target_platform: linux-aarch64
+    target_platform: win-64
   depends:
   - python
   - packaging
@@ -18540,21 +18543,22 @@ packages:
   - cuda-core >=0.5.1,<1
   - cuda-bindings >=12.9,<14
   - cuda-python >=12.9,<14
-  - cuda-pathfinder >=1.3.4,<2
+  - cuda-pathfinder >=1.4.0,<2
   - cuda-cudart
-  - libstdcxx >=14
-  - libgcc >=14
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
   - python_abi 3.11.* *_cp311
   - numpy >=1.23,<3
   license: BSD-2-Clause
 - conda: .
   name: numba-cuda
   version: 0.27.0
-  build: py311hb9e802a_0
-  subdir: win-64
+  build: py311h2894be0_0
+  subdir: linux-aarch64
   variants:
     python: 3.11.*
-    target_platform: win-64
+    target_platform: linux-aarch64
   depends:
   - python
   - packaging
@@ -18562,10 +18566,10 @@ packages:
   - cuda-core >=0.5.1,<1
   - cuda-bindings >=12.9,<14
   - cuda-python >=12.9,<14
-  - cuda-pathfinder >=1.3.4,<2
+  - cuda-pathfinder >=1.4.0,<2
   - cuda-cudart
-  - vc >=14.1,<15
-  - vc14_runtime >=14.16.27033
+  - libstdcxx >=14
+  - libgcc >=14
   - python_abi 3.11.* *_cp311
   - numpy >=1.23,<3
   license: BSD-2-Clause
@@ -18584,7 +18588,7 @@ packages:
   - cuda-core >=0.5.1,<1
   - cuda-bindings >=12.9,<14
   - cuda-python >=12.9,<14
-  - cuda-pathfinder >=1.3.4,<2
+  - cuda-pathfinder >=1.4.0,<2
   - cuda-cudart
   - libstdcxx >=14
   - libgcc >=14
@@ -18606,7 +18610,7 @@ packages:
   - cuda-core >=0.5.1,<1
   - cuda-bindings >=12.9,<14
   - cuda-python >=12.9,<14
-  - cuda-pathfinder >=1.3.4,<2
+  - cuda-pathfinder >=1.4.0,<2
   - cuda-cudart
   - libstdcxx >=14
   - libgcc >=14
@@ -18616,11 +18620,12 @@ packages:
 - conda: .
   name: numba-cuda
   version: 0.27.0
-  build: py312h8e85db0_0
-  subdir: linux-aarch64
+  build: py312h61be6c2_0
+  subdir: win-64
   variants:
+    cxx_compiler: vs2022
     python: 3.12.*
-    target_platform: linux-aarch64
+    target_platform: win-64
   depends:
   - python
   - packaging
@@ -18628,21 +18633,22 @@ packages:
   - cuda-core >=0.5.1,<1
   - cuda-bindings >=12.9,<14
   - cuda-python >=12.9,<14
-  - cuda-pathfinder >=1.3.4,<2
+  - cuda-pathfinder >=1.4.0,<2
   - cuda-cudart
-  - libstdcxx >=14
-  - libgcc >=14
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
   - python_abi 3.12.* *_cp312
   - numpy >=1.23,<3
   license: BSD-2-Clause
 - conda: .
   name: numba-cuda
   version: 0.27.0
-  build: py312ha067a5a_0
-  subdir: win-64
+  build: py312h8e85db0_0
+  subdir: linux-aarch64
   variants:
     python: 3.12.*
-    target_platform: win-64
+    target_platform: linux-aarch64
   depends:
   - python
   - packaging
@@ -18650,10 +18656,10 @@ packages:
   - cuda-core >=0.5.1,<1
   - cuda-bindings >=12.9,<14
   - cuda-python >=12.9,<14
-  - cuda-pathfinder >=1.3.4,<2
+  - cuda-pathfinder >=1.4.0,<2
   - cuda-cudart
-  - vc >=14.1,<15
-  - vc14_runtime >=14.16.27033
+  - libstdcxx >=14
+  - libgcc >=14
   - python_abi 3.12.* *_cp312
   - numpy >=1.23,<3
   license: BSD-2-Clause
@@ -18672,7 +18678,7 @@ packages:
   - cuda-core >=0.5.1,<1
   - cuda-bindings >=12.9,<14
   - cuda-python >=12.9,<14
-  - cuda-pathfinder >=1.3.4,<2
+  - cuda-pathfinder >=1.4.0,<2
   - cuda-cudart
   - libstdcxx >=14
   - libgcc >=14
@@ -18682,9 +18688,10 @@ packages:
 - conda: .
   name: numba-cuda
   version: 0.27.0
-  build: py313he80dd91_0
+  build: py313h96b86a2_0
   subdir: win-64
   variants:
+    cxx_compiler: vs2022
     python: 3.13.*
     target_platform: win-64
   depends:
@@ -18694,10 +18701,11 @@ packages:
   - cuda-core >=0.5.1,<1
   - cuda-bindings >=12.9,<14
   - cuda-python >=12.9,<14
-  - cuda-pathfinder >=1.3.4,<2
+  - cuda-pathfinder >=1.4.0,<2
   - cuda-cudart
-  - vc >=14.1,<15
-  - vc14_runtime >=14.16.27033
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
   - python_abi 3.13.* *_cp313
   - numpy >=1.23,<3
   license: BSD-2-Clause
@@ -18716,7 +18724,7 @@ packages:
   - cuda-core >=0.5.1,<1
   - cuda-bindings >=12.9,<14
   - cuda-python >=12.9,<14
-  - cuda-pathfinder >=1.3.4,<2
+  - cuda-pathfinder >=1.4.0,<2
   - cuda-cudart
   - libstdcxx >=14
   - libgcc >=14
@@ -18726,11 +18734,12 @@ packages:
 - conda: .
   name: numba-cuda
   version: 0.27.0
-  build: py314h59f3c06_0
-  subdir: linux-64
+  build: py314h3be3d12_0
+  subdir: win-64
   variants:
+    cxx_compiler: vs2022
     python: 3.14.*
-    target_platform: linux-64
+    target_platform: win-64
   depends:
   - python
   - packaging
@@ -18738,21 +18747,22 @@ packages:
   - cuda-core >=0.5.1,<1
   - cuda-bindings >=12.9,<14
   - cuda-python >=12.9,<14
-  - cuda-pathfinder >=1.3.4,<2
+  - cuda-pathfinder >=1.4.0,<2
   - cuda-cudart
-  - libstdcxx >=15
-  - libgcc >=15
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
   - python_abi 3.14.* *_cp314
   - numpy >=1.23,<3
   license: BSD-2-Clause
 - conda: .
   name: numba-cuda
   version: 0.27.0
-  build: py314h625260f_0
-  subdir: win-64
+  build: py314h59f3c06_0
+  subdir: linux-64
   variants:
     python: 3.14.*
-    target_platform: win-64
+    target_platform: linux-64
   depends:
   - python
   - packaging
@@ -18760,10 +18770,10 @@ packages:
   - cuda-core >=0.5.1,<1
   - cuda-bindings >=12.9,<14
   - cuda-python >=12.9,<14
-  - cuda-pathfinder >=1.3.4,<2
+  - cuda-pathfinder >=1.4.0,<2
   - cuda-cudart
-  - vc >=14.1,<15
-  - vc14_runtime >=14.16.27033
+  - libstdcxx >=15
+  - libgcc >=15
   - python_abi 3.14.* *_cp314
   - numpy >=1.23,<3
   license: BSD-2-Clause
@@ -18782,7 +18792,7 @@ packages:
   - cuda-core >=0.5.1,<1
   - cuda-bindings >=12.9,<14
   - cuda-python >=12.9,<14
-  - cuda-pathfinder >=1.3.4,<2
+  - cuda-pathfinder >=1.4.0,<2
   - cuda-cudart
   - libstdcxx >=14
   - libgcc >=14
diff --git a/pixi.toml b/pixi.toml
index eadd2dd41..323f79cb7 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -307,5 +307,5 @@ numba = ">=0.60"
 cuda-core = ">=0.5.1,<1"
 cuda-bindings = ">=12.9,<14"
 cuda-python = ">=12.9,<14"
-cuda-pathfinder = ">=1.3.4,<2"
+cuda-pathfinder = ">=1.4.0,<2"
 cuda-cudart = "*"
diff --git a/pyproject.toml b/pyproject.toml
index d9c2c5ab3..ad8f5f2fe 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -24,13 +24,13 @@ dependencies = [
 [project.optional-dependencies]
 cu12 = [
     "cuda-bindings>=12.9.1,<13.0.0",
-    "cuda-pathfinder>=1.3.4,<2.0.0",
+    "cuda-pathfinder>=1.4.0,<2.0.0",
     # install nvcc for libNVVM
     "cuda-toolkit[cudart,nvcc,nvrtc,nvjitlink,cccl]==12.*",
 ]
 cu13 = [
     "cuda-bindings==13.*",
-    "cuda-pathfinder>=1.3.4,<2.0.0",
+    "cuda-pathfinder>=1.4.0,<2.0.0",
     "cuda-toolkit[cudart,nvvm,nvrtc,nvjitlink,cccl]==13.*",
 ]