diff --git a/.github/workflows/pr.yaml b/.github/workflows/pr.yaml
index aea81c152e0..c167da995c8 100644
--- a/.github/workflows/pr.yaml
+++ b/.github/workflows/pr.yaml
@@ -13,6 +13,7 @@ jobs:
   # Please keep pr-builder as the top job here
   pr-builder:
     needs:
+      - check-nightly-ci
       - changed-files
       - checks
       - conda-cpp-build
@@ -42,6 +43,18 @@ jobs:
       - name: Telemetry setup
         if: ${{ vars.TELEMETRY_ENABLED == 'true' }}
         uses: rapidsai/shared-actions/telemetry-dispatch-stash-base-env-vars@main
+  check-nightly-ci:
+    # Switch to ubuntu-latest once it defaults to a version of Ubuntu that
+    # provides at least Python 3.11 (see
+    # https://docs.python.org/3/library/datetime.html#datetime.date.fromisoformat)
+    runs-on: ubuntu-24.04
+    env:
+      RAPIDS_GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+    steps:
+      - name: Check if nightly CI is passing
+        uses: rapidsai/shared-actions/check_nightly_success/dispatch@main
+        with:
+          repo: cugraph
   changed-files:
     secrets: inherit
     needs: telemetry-setup
diff --git a/.gitignore b/.gitignore
index 9480c2618bf..7853526b22b 100644
--- a/.gitignore
+++ b/.gitignore
@@ -32,6 +32,7 @@ test-results
 ## Python build directories & artifacts
 dask-worker-space/
 htmlcov
+*.conda
 dist/
 *.egg-info/
 python/build
@@ -40,9 +41,7 @@ wheels/
 wheelhouse/
 _skbuild/
 cufile.log
-
-## pylibcugraph build directories & artifacts
-python/pylibcugraph/pylibcugraph.egg-info
+*.whl
 
 ## Patching
 *.diff
@@ -89,10 +88,7 @@ docs/cugraph/lib*
 docs/cugraph/api/*
 
 # created by Dask tests
-python/dask-worker-space
-python/cugraph/dask-worker-space
-python/cugraph/cugraph/dask-worker-space
-python/cugraph/cugraph/tests/dask-worker-space
+dask-worker-space/
 
 # Sphinx docs & build artifacts
 docs/cugraph/source/api_docs/api/*
diff --git a/benchmarks/cugraph/pytest-based/bench_algos.py b/benchmarks/cugraph/pytest-based/bench_algos.py
index 04407d656d7..1c988ea636a 100644
--- a/benchmarks/cugraph/pytest-based/bench_algos.py
+++ b/benchmarks/cugraph/pytest-based/bench_algos.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2020-2024, NVIDIA CORPORATION.
+# Copyright (c) 2020-2025, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -42,7 +42,6 @@ def setFixtureParamNames(*args, **kwargs):
 from cugraph.structure.number_map import NumberMap
 from cugraph.generators import rmat
 from cugraph.testing import utils, mg_utils
-from cugraph.utilities.utils import is_device_version_less_than
 
 from cugraph_benchmarking.params import (
     directed_datasets,
@@ -362,9 +361,6 @@ def bench_sorensen(gpubenchmark, unweighted_graph):
     gpubenchmark(sorensen, G, vert_pairs)
 
 
-@pytest.mark.skipif(
-    is_device_version_less_than((7, 0)), reason="Not supported on Pascal"
-)
 def bench_louvain(gpubenchmark, graph):
     louvain = dask_cugraph.louvain if is_graph_distributed(graph) else cugraph.louvain
     gpubenchmark(louvain, graph)
diff --git a/ci/notebook_list.py b/ci/notebook_list.py
index f7a284beeeb..db26f2efa2c 100644
--- a/ci/notebook_list.py
+++ b/ci/notebook_list.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2025, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -17,7 +17,7 @@
 import glob
 from pathlib import Path
 
-from numba import cuda
+from cuda.bindings import runtime
 
 # for adding another run type and skip file name add to this dictionary
 runtype_dict = {
@@ -30,20 +30,18 @@
 
 def skip_book_dir(runtype):
     # Add all run types here, currently only CI supported
+    return runtype in runtype_dict and Path(runtype_dict.get(runtype)).is_file()
 
-    if runtype in runtype_dict.keys():
-        if Path(runtype_dict.get(runtype)).is_file():
-            return True
-    return False
 
+def _get_cuda_version_string():
+    status, version = runtime.getLocalRuntimeVersion()
+    if status != runtime.cudaError_t.cudaSuccess:
+        raise RuntimeError("Could not get CUDA runtime version.")
+    major, minor = divmod(version, 1000)
+    minor //= 10
+    return f"{major}.{minor}"
 
-cuda_version_string = ".".join([str(n) for n in cuda.runtime.get_version()])
-#
-# Not strictly true... however what we mean is
-# Pascal or earlier
-#
-ampere = False
-device = cuda.get_current_device()
+cuda_version_string = _get_cuda_version_string()
 
 parser = argparse.ArgumentParser(description="Condition for running the notebook tests")
 parser.add_argument("runtype", type=str)
@@ -52,19 +50,10 @@ def skip_book_dir(runtype):
 
 runtype = args.runtype
 
-if runtype not in runtype_dict.keys():
+if runtype not in runtype_dict:
     print(f"Unknown Run Type  = {runtype}", file=sys.stderr)
     exit()
 
-
-# check for the attribute using both pre and post numba 0.53 names
-cc = getattr(device, "COMPUTE_CAPABILITY", None) or getattr(
-    device, "compute_capability"
-)
-if cc[0] >= 8:
-    ampere = True
-
-skip = False
 for filename in glob.iglob("**/*.ipynb", recursive=True):
     skip = False
     if skip_book_dir(runtype):
@@ -88,10 +77,6 @@ def skip_book_dir(runtype):
                 )
                 skip = True
                 break
-            elif ampere and re.search("# Does not run on Ampere", line):
-                print(f"SKIPPING {filename} (does not run on Ampere)", file=sys.stderr)
-                skip = True
-                break
             elif re.search("# Does not run on CUDA ", line) and (
                 cuda_version_string in line
             ):
diff --git a/ci/test_wheel.sh b/ci/test_wheel.sh
index b5cd90996c7..c96e91b037c 100755
--- a/ci/test_wheel.sh
+++ b/ci/test_wheel.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# Copyright (c) 2023-2024, NVIDIA CORPORATION.
+# Copyright (c) 2023-2025, NVIDIA CORPORATION.
 
 set -eoxu pipefail
 
@@ -7,15 +7,6 @@ package_name=$1
 
 python_package_name=$(echo ${package_name}|sed 's/-/_/g')
 
-mkdir -p ./dist
-RAPIDS_PY_CUDA_SUFFIX="$(rapids-wheel-ctk-name-gen ${RAPIDS_CUDA_VERSION})"
-
-RAPIDS_PY_WHEEL_NAME="${package_name}_${RAPIDS_PY_CUDA_SUFFIX}" rapids-download-wheels-from-s3 ./dist
-
-# use 'ls' to expand wildcard before adding `[extra]` requires for pip
-# pip creates wheels using python package names
-python -m pip install $(ls ./dist/${python_package_name}*.whl)[test]
-
 # Run smoke tests for aarch64 pull requests
 arch=$(uname -m)
 if [[ "${arch}" == "aarch64" && ${RAPIDS_BUILD_TYPE} == "pull-request" ]]; then
diff --git a/ci/test_wheel_cugraph.sh b/ci/test_wheel_cugraph.sh
index 295cec7cb10..4703ed61985 100755
--- a/ci/test_wheel_cugraph.sh
+++ b/ci/test_wheel_cugraph.sh
@@ -1,11 +1,17 @@
 #!/bin/bash
-# Copyright (c) 2023-2024, NVIDIA CORPORATION.
+# Copyright (c) 2023-2025, NVIDIA CORPORATION.
 
 set -eoxu pipefail
 
-# Download the pylibcugraph built in the previous step
+# Download the packages built in the previous step
+mkdir -p ./dist
 RAPIDS_PY_CUDA_SUFFIX="$(rapids-wheel-ctk-name-gen ${RAPIDS_CUDA_VERSION})"
-RAPIDS_PY_WHEEL_NAME="pylibcugraph_${RAPIDS_PY_CUDA_SUFFIX}" rapids-download-wheels-from-s3 ./local-pylibcugraph-dep
-python -m pip install --no-deps ./local-pylibcugraph-dep/pylibcugraph*.whl
+RAPIDS_PY_WHEEL_NAME="cugraph_${RAPIDS_PY_CUDA_SUFFIX}" rapids-download-wheels-from-s3 python ./dist
+RAPIDS_PY_WHEEL_NAME="pylibcugraph_${RAPIDS_PY_CUDA_SUFFIX}" rapids-download-wheels-from-s3 python ./local-pylibcugraph-dep
+
+# echo to expand wildcard before adding `[extra]` requires for pip
+python -m pip install \
+    "$(echo ./dist/cugraph*.whl)[test]" \
+    ./local-pylibcugraph-dep/pylibcugraph*.whl
 
 ./ci/test_wheel.sh cugraph
diff --git a/ci/test_wheel_pylibcugraph.sh b/ci/test_wheel_pylibcugraph.sh
index ddc9976308b..d0c97834a20 100755
--- a/ci/test_wheel_pylibcugraph.sh
+++ b/ci/test_wheel_pylibcugraph.sh
@@ -1,6 +1,15 @@
 #!/bin/bash
-# Copyright (c) 2023-2024, NVIDIA CORPORATION.
+# Copyright (c) 2023-2025, NVIDIA CORPORATION.
 
 set -eoxu pipefail
 
+# Download the packages built in the previous step
+mkdir -p ./dist
+RAPIDS_PY_CUDA_SUFFIX="$(rapids-wheel-ctk-name-gen ${RAPIDS_CUDA_VERSION})"
+RAPIDS_PY_WHEEL_NAME="pylibcugraph_${RAPIDS_PY_CUDA_SUFFIX}" rapids-download-wheels-from-s3 python ./dist
+
+# echo to expand wildcard before adding `[extra]` requires for pip
+python -m pip install \
+    "$(echo ./dist/pylibcugraph*.whl)[test]"
+
 ./ci/test_wheel.sh pylibcugraph
diff --git a/cpp/cmake/thirdparty/get_raft.cmake b/cpp/cmake/thirdparty/get_raft.cmake
index 8f56372c81a..28e9ec0cda7 100644
--- a/cpp/cmake/thirdparty/get_raft.cmake
+++ b/cpp/cmake/thirdparty/get_raft.cmake
@@ -1,5 +1,5 @@
 #=============================================================================
-# Copyright (c) 2022-2024, NVIDIA CORPORATION.
+# Copyright (c) 2022-2025, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -39,7 +39,7 @@ function(find_and_configure_raft)
     endif()
 
     rapids_cpm_find(raft ${PKG_VERSION}
-      GLOBAL_TARGETS      raft::raft
+      GLOBAL_TARGETS      raft::raft raft::raft_logger raft::raft_logger_impl
       BUILD_EXPORT_SET    cugraph-exports
       INSTALL_EXPORT_SET  cugraph-exports
       COMPONENTS ${RAFT_COMPONENTS}
@@ -51,7 +51,7 @@ function(find_and_configure_raft)
             OPTIONS
                 "RAFT_COMPILE_LIBRARY ${PKG_COMPILE_RAFT_LIB}"
                 "BUILD_TESTS OFF"
-                "BUILD_BENCH OFF"
+                "BUILD_PRIMS_BENCH OFF"
                 "BUILD_CAGRA_HNSWLIB OFF"
     )
 
diff --git a/cpp/libcugraph_etl/cmake/thirdparty/get_cudf.cmake b/cpp/libcugraph_etl/cmake/thirdparty/get_cudf.cmake
index 8d57bf570bb..aab159d4242 100644
--- a/cpp/libcugraph_etl/cmake/thirdparty/get_cudf.cmake
+++ b/cpp/libcugraph_etl/cmake/thirdparty/get_cudf.cmake
@@ -1,5 +1,5 @@
 #=============================================================================
-# Copyright (c) 2021, NVIDIA CORPORATION.
+# Copyright (c) 2021-2025, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -27,7 +27,9 @@ function(find_and_configure_cudf)
             GIT_REPOSITORY https://github.com/${PKG_FORK}/cudf.git
             GIT_TAG        ${PKG_PINNED_TAG}
             SOURCE_SUBDIR  cpp
-            OPTIONS "BUILD_TESTS OFF"
+            OPTIONS
+              "BUILD_BENCHMARKS OFF"
+              "BUILD_TESTS OFF"
     )
 
     message(VERBOSE "CUGRAPH_ETL: Using CUDF located in ${cudf_SOURCE_DIR}")
@@ -39,8 +41,8 @@ set(CUGRAPH_ETL_BRANCH_VERSION_cudf "${CUGRAPH_ETL_VERSION_MAJOR}.${CUGRAPH_ETL_
 
 
 # Change pinned tag and fork here to test a commit in CI
-# To use a different RAFT locally, set the CMake variable
-# RPM_cudf_SOURCE=/path/to/local/cudf
+# To use a different cuDF locally, set the CMake variable
+# CPM_cudf_SOURCE=/path/to/local/cudf
 find_and_configure_cudf(VERSION    ${CUGRAPH_ETL_MIN_VERSION_cudf}
                         FORK       rapidsai
                         PINNED_TAG branch-${CUGRAPH_ETL_BRANCH_VERSION_cudf}
diff --git a/cpp/libcugraph_etl/cmake/thirdparty/get_cugraph.cmake b/cpp/libcugraph_etl/cmake/thirdparty/get_cugraph.cmake
index c551646d919..c42bd8d2ae9 100644
--- a/cpp/libcugraph_etl/cmake/thirdparty/get_cugraph.cmake
+++ b/cpp/libcugraph_etl/cmake/thirdparty/get_cugraph.cmake
@@ -1,5 +1,5 @@
 #=============================================================================
-# Copyright (c) 2021, NVIDIA CORPORATION.
+# Copyright (c) 2021-2025, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -39,8 +39,8 @@ set(CUGRAPH_ETL_BRANCH_VERSION_cugraph "${CUGRAPH_ETL_VERSION_MAJOR}.${CUGRAPH_E
 
 
 # Change pinned tag and fork here to test a commit in CI
-# To use a different RAFT locally, set the CMake variable
-# RPM_cugraph_SOURCE=/path/to/local/cugraph
+# To use a different cuGraph locally, set the CMake variable
+# CPM_cugraph_SOURCE=/path/to/local/cugraph
 find_and_configure_cugraph(VERSION    ${CUGRAPH_ETL_MIN_VERSION_cugraph}
                            FORK       rapidsai
                            PINNED_TAG branch-${CUGRAPH_ETL_BRANCH_VERSION_cugraph}
diff --git a/dependencies.yaml b/dependencies.yaml
index e1a8cc065c7..56c0f9deba0 100755
--- a/dependencies.yaml
+++ b/dependencies.yaml
@@ -26,6 +26,7 @@ files:
       - depends_on_ucx_py
       - docs
       - python_build_cythonize
+      - python_build_skbuild
       - python_build_rapids
       - python_build_wheel
       - python_run_cugraph
@@ -77,6 +78,7 @@ files:
     includes:
       - python_build_cythonize
       - python_build_rapids
+      - python_build_skbuild
   py_rapids_build_cugraph:
     output: pyproject
     pyproject_dir: python/cugraph
@@ -121,6 +123,7 @@ files:
     includes:
       - python_build_cythonize
       - python_build_rapids
+      - python_build_skbuild
   py_rapids_build_pylibcugraph:
     output: pyproject
     pyproject_dir: python/pylibcugraph
@@ -370,6 +373,14 @@ dependencies:
       - output_types: [conda, pyproject, requirements]
         packages:
           - rapids-build-backend>=0.3.1,<0.4.0.dev0
+  python_build_skbuild:
+    common:
+      - output_types: conda
+        packages:
+          - scikit-build-core>=0.10.0
+      - output_types: [requirements, pyproject]
+        packages:
+          - scikit-build-core[pyproject]>=0.10.0
   python_build_wheel:
     common:
       - output_types: [conda, pyproject, requirements]
@@ -381,12 +392,6 @@ dependencies:
       - output_types: [conda, pyproject, requirements]
         packages:
           - cython>=3.0.0
-      - output_types: conda
-        packages:
-          - scikit-build-core>=0.10.0
-      - output_types: [pyproject, requirements]
-        packages:
-          - scikit-build-core[pyproject]>=0.10.0
   python_run_cugraph:
     common:
       - output_types: [conda, pyproject]
diff --git a/python/cugraph/cugraph/dask/common/mg_utils.py b/python/cugraph/cugraph/dask/common/mg_utils.py
index b04f293dc0e..e4e3ac9a44e 100644
--- a/python/cugraph/cugraph/dask/common/mg_utils.py
+++ b/python/cugraph/cugraph/dask/common/mg_utils.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2020-2023, NVIDIA CORPORATION.
+# Copyright (c) 2020-2025, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -13,7 +13,7 @@
 
 import os
 import gc
-import numba.cuda
+from cuda.bindings import runtime
 
 
 # FIXME: this raft import breaks the library if ucx-py is
@@ -53,11 +53,10 @@ def prepare_worker_to_parts(data, client=None):
 
 
 def is_single_gpu():
-    ngpus = len(numba.cuda.gpus)
-    if ngpus > 1:
-        return False
-    else:
-        return True
+    status, count = runtime.cudaGetDeviceCount()
+    if status != runtime.cudaError_t.cudaSuccess:
+        raise RuntimeError("Could not get CUDA device count.")
+    return count > 1
 
 
 def get_visible_devices():
diff --git a/python/cugraph/cugraph/tests/docs/test_doctests.py b/python/cugraph/cugraph/tests/docs/test_doctests.py
index 2095fd41fe9..9d9f8436b99 100644
--- a/python/cugraph/cugraph/tests/docs/test_doctests.py
+++ b/python/cugraph/cugraph/tests/docs/test_doctests.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2024, NVIDIA CORPORATION.
+# Copyright (c) 2022-2025, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -25,14 +25,21 @@
 import cugraph
 import pylibcugraph
 import cudf
-from numba import cuda
+from cuda.bindings import runtime
 from cugraph.testing import utils
 
 
 modules_to_skip = ["dask", "proto", "raft"]
 datasets = utils.RAPIDS_DATASET_ROOT_DIR_PATH
 
-cuda_version_string = ".".join([str(n) for n in cuda.runtime.get_version()])
+
+def _get_cuda_version_string():
+    status, version = runtime.getLocalRuntimeVersion()
+    if status != runtime.cudaError_t.cudaSuccess:
+        raise RuntimeError("Could not get CUDA runtime version.")
+    major = version // 1000
+    minor = (version % 1000) // 10
+    return f"{major}.{minor}"
 
 
 def _is_public_name(name):
@@ -131,6 +138,7 @@ def skip_docstring(docstring_obj):
     NOTE: this function is currently not available on CUDA 11.4 systems.
     """
     docstring = docstring_obj.docstring
+    cuda_version_string = _get_cuda_version_string()
     for line in docstring.splitlines():
         if f"currently not available on CUDA {cuda_version_string} systems" in line:
             return f"docstring example not supported on CUDA {cuda_version_string}"
diff --git a/python/cugraph/cugraph/traversal/ms_bfs.py b/python/cugraph/cugraph/traversal/ms_bfs.py
index df624e453ee..b80331d475a 100644
--- a/python/cugraph/cugraph/traversal/ms_bfs.py
+++ b/python/cugraph/cugraph/traversal/ms_bfs.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2025, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -56,7 +56,6 @@ def _get_feasibility(G, sources, components=None, depth_limit=None):
 
     # Fixme not implemented in RMM yet
     # using 96GB upper bound for now
-    # mem = get_device_memory_info()
     mem = 9.6e10
     n_sources = sources.size
     V = G.number_of_vertices()
diff --git a/python/cugraph/cugraph/utilities/path_retrieval_wrapper.pyx b/python/cugraph/cugraph/utilities/path_retrieval_wrapper.pyx
index 98d11ad07df..8e71c7aae4e 100644
--- a/python/cugraph/cugraph/utilities/path_retrieval_wrapper.pyx
+++ b/python/cugraph/cugraph/utilities/path_retrieval_wrapper.pyx
@@ -1,4 +1,4 @@
-# Copyright (c) 2021, NVIDIA CORPORATION.
+# Copyright (c) 2021-2025, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -19,7 +19,6 @@
 from cugraph.utilities.path_retrieval cimport get_traversed_cost as c_get_traversed_cost
 from cugraph.structure.graph_primtypes cimport *
 from libc.stdint cimport uintptr_t
-from numba import cuda
 import cudf
 import numpy as np
 
diff --git a/python/cugraph/cugraph/utilities/utils.py b/python/cugraph/cugraph/utilities/utils.py
index 0257da4ffc0..493a9850a0f 100644
--- a/python/cugraph/cugraph/utilities/utils.py
+++ b/python/cugraph/cugraph/utilities/utils.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2020-2024, NVIDIA CORPORATION.
+# Copyright (c) 2020-2025, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -15,14 +15,9 @@
 import os
 import shutil
 
-from numba import cuda
-
 import cudf
 from cudf.core.column import as_column
 
-from cuda.cudart import cudaDeviceAttr
-from rmm._cuda.gpu import getDeviceAttribute
-
 from warnings import warn
 
 # optional dependencies
@@ -210,47 +205,6 @@ def get_traversed_path_list(df, id):
     return answer
 
 
-def is_cuda_version_less_than(min_version=(10, 2)):
-    """
-    Returns True if the version of CUDA being used is less than min_version
-    """
-    this_cuda_ver = cuda.runtime.get_version()  # returns (<major>, <minor>)
-    if this_cuda_ver[0] > min_version[0]:
-        return False
-    if this_cuda_ver[0] < min_version[0]:
-        return True
-    if this_cuda_ver[1] < min_version[1]:
-        return True
-    return False
-
-
-def is_device_version_less_than(min_version=(7, 0)):
-    """
-    Returns True if the version of CUDA being used is less than min_version
-    """
-    major_version = getDeviceAttribute(
-        cudaDeviceAttr.cudaDevAttrComputeCapabilityMajor, 0
-    )
-    minor_version = getDeviceAttribute(
-        cudaDeviceAttr.cudaDevAttrComputeCapabilityMinor, 0
-    )
-    if major_version > min_version[0]:
-        return False
-    if major_version < min_version[0]:
-        return True
-    if minor_version < min_version[1]:
-        return True
-    return False
-
-
-def get_device_memory_info():
-    """
-    Returns the total amount of global memory on the device in bytes
-    """
-    meminfo = cuda.current_context().get_memory_info()
-    return meminfo[1]
-
-
 # FIXME: if G is a Nx type, the weight attribute is assumed to be "weight", if
 # set. An additional optional parameter for the weight attr name when accepting
 # Nx graphs may be needed.  From the Nx docs: