diff --git a/conda/environments/all_cuda-118_arch-x86_64.yaml b/conda/environments/all_cuda-118_arch-x86_64.yaml
index b07bc4f93..05e9309b2 100644
--- a/conda/environments/all_cuda-118_arch-x86_64.yaml
+++ b/conda/environments/all_cuda-118_arch-x86_64.yaml
@@ -9,6 +9,7 @@ dependencies:
 - c-compiler
 - clang-tools=16.0.6
 - cmake>=3.26.4,!=3.30.0
+- cuda-python>=11.8.5,<12.0a0
 - cuda-version=11.8
 - cudatoolkit
 - cudf==25.2.*,>=0.0.0a0
diff --git a/conda/environments/all_cuda-125_arch-x86_64.yaml b/conda/environments/all_cuda-125_arch-x86_64.yaml
index a9cd79d98..b4a928b75 100644
--- a/conda/environments/all_cuda-125_arch-x86_64.yaml
+++ b/conda/environments/all_cuda-125_arch-x86_64.yaml
@@ -13,6 +13,7 @@ dependencies:
 - cuda-cupti-dev
 - cuda-nvcc
 - cuda-nvrtc-dev
+- cuda-python>=12.6.2,<13.0a0
 - cuda-version=12.5
 - cudf==25.2.*,>=0.0.0a0
 - cuml==25.2.*,>=0.0.0a0
diff --git a/dependencies.yaml b/dependencies.yaml
index 269687def..c859be47a 100644
--- a/dependencies.yaml
+++ b/dependencies.yaml
@@ -370,6 +370,16 @@ dependencies:
       - output_types: [conda]
         packages:
           - curl
+    specific:
+      - output_types: [conda, requirements, pyproject]
+        matrices:
+          - matrix:
+              cuda: "12.*"
+            packages:
+              - cuda-python>=12.6.2,<13.0a0
+          - matrix: # All CUDA 11 versions
+            packages:
+              - cuda-python>=11.8.5,<12.0a0
   # TODO: Remove geopandas.dataset usage in cuspatial_api_examples.ipynb
   test_notebooks:
     common:
diff --git a/notebooks/cuproj_benchmark.ipynb b/notebooks/cuproj_benchmark.ipynb
index 2ff673422..f5df9ab2c 100644
--- a/notebooks/cuproj_benchmark.ipynb
+++ b/notebooks/cuproj_benchmark.ipynb
@@ -21,7 +21,7 @@
    "source": [
     "import numpy as np\n",
     "import cupy as cp\n",
-    "from cuda import cudart\n",
+    "from cuda.bindings import runtime\n",
     "\n",
     "from pyproj import Transformer\n",
     "from cuproj import Transformer as cuTransformer\n",
@@ -85,8 +85,8 @@
     "    return t.autorange()\n",
     "\n",
     "def cu_run_and_sync(transformer, grid):\n",
-    "  transformer.transform(*grid)\n",
-    "  cudart.cudaDeviceSynchronize()\n",
+    "    transformer.transform(*grid)\n",
+    "    runtime.cudaDeviceSynchronize()\n",
     "\n",
     "def run_cuproj(num_points):\n",
     "    grid_side = int(np.sqrt(num_points))\n",