diff --git a/.github/workflows/buildcupy.yaml b/.github/workflows/buildcupy.yaml
index 56f917f8..5ebb952d 100644
--- a/.github/workflows/buildcupy.yaml
+++ b/.github/workflows/buildcupy.yaml
@@ -1,4 +1,4 @@
-name: PyLops Testing (CuPy)
+name: PyLops Testing with CuPy
 
 on:
   pull_request:
@@ -10,7 +10,9 @@ on:
 
 jobs:
   build:
-    runs-on: self-hosted
+    runs-on:
+      - self-hosted
+      - exouser
     steps:
       - name: Check out source repository
         uses: actions/checkout@v6
@@ -22,35 +24,54 @@ jobs:
           python-version: 3.11
       - name: Install dependencies and pylops
         run: |
-          srun --account=yuxilab -n 1 -N 1 --gres=gpu:L40S:1 bash -c '
-            uv sync --locked  --extra advanced \
-              --extra stat --extra gpu-cu12 \
-              --extra deep-cu128 --all-groups
-          '
+          uv sync --extra advanced \
+            --extra stat --extra gpu-cu12 \
+            --group dev
+          uv pip install \
+            --default-index https://download.pytorch.org/whl/cu128 \
+            torch==2.11.0+cu128
+          uv pip install \
+            nvidia-cuda-nvcc-cu12==12.2.128 \
+            nvidia-cuda-nvrtc-cu12==12.8.93 \
+            nvidia-cuda-runtime-cu12==12.8.90
           echo "done!"
-      - name: Install CUDA 12.8 toolkit
+
+      - name: Configure CUDA NVVM from uv wheels
         run: |
-          srun --account=yuxilab -n 1 -N 1 --gres=gpu:L40S:1 bash -c '
-            # Currently, the NVIDIA GPU drivers on the self-hosted runner
-            # and the CUDA installation in CUDA_HOME require different PTX versions
-            # (8.7 and 8.8, respectively). CUDA and NVCC are temporarely
-            # installed in the uv environment, and the CUDA paths are set in
-            # the test command, to work around this issue.
-            uv add nvidia-cuda-nvcc-cu12==12.8.*
-            # Numba resolves libNVVM via CUDA_HOME and needs a versioned
-            # libnvvm.so.N (the pip wheel only ships a bare libnvvm.so), so
-            # add the symlink once here against the wheel-provided toolkit.
-            ln -sf libnvvm.so .venv/lib/python3.11/site-packages/nvidia/cuda_nvcc/nvvm/lib64/libnvvm.so.4
-          '
+          CUDA_HOME="$PWD/.venv/lib/python3.11/site-packages/nvidia/cuda_nvcc"
+          CUDA_RUNTIME_ROOT="$PWD/.venv/lib/python3.11/site-packages/nvidia/cuda_runtime"
+          CUDA_NVRTC_ROOT="$PWD/.venv/lib/python3.11/site-packages/nvidia/cuda_nvrtc"
+
+          if [ ! -f "$CUDA_HOME/nvvm/lib64/libnvvm.so" ]; then
+            echo "libnvvm.so not found in $CUDA_HOME/nvvm/lib64"
+            exit 1
+          fi
+          if [ ! -f "$CUDA_RUNTIME_ROOT/lib/libcudart.so.12" ]; then
+            echo "libcudart.so.12 not found in $CUDA_RUNTIME_ROOT/lib"
+            exit 1
+          fi
+          if [ ! -f "$CUDA_NVRTC_ROOT/lib/libnvrtc.so.12" ]; then
+            echo "libnvrtc.so.12 not found in $CUDA_NVRTC_ROOT/lib"
+            exit 1
+          fi
+
+          mkdir -p "$CUDA_HOME/lib64"
+          ln -sf "$CUDA_HOME/nvvm/lib64/libnvvm.so" "$CUDA_HOME/nvvm/lib64/libnvvm.so.4"
+          ln -sf "$CUDA_HOME/nvvm/lib64/libnvvm.so" "$CUDA_HOME/lib64/libnvvm.so"
+          ln -sf "$CUDA_RUNTIME_ROOT/lib/libcudart.so.12" "$CUDA_HOME/lib64/libcudart.so.12"
+          ln -sf "$CUDA_RUNTIME_ROOT/lib/libcudart.so.12" "$CUDA_HOME/lib64/libcudart.so"
+          ln -sf "$CUDA_NVRTC_ROOT/lib/libnvrtc.so.12" "$CUDA_HOME/lib64/libnvrtc.so.12"
+          ln -sf "$CUDA_HOME/lib64/libnvrtc.so.12" "$CUDA_HOME/lib64/libnvrtc.so"
+
+          echo "CUDA_HOME=$CUDA_HOME" >> "$GITHUB_ENV"
+          echo "CUDA_NVVM_LIB=$CUDA_HOME/nvvm/lib64" >> "$GITHUB_ENV"
           echo "done!"
       - name: Test with pytest
         run: |
-          srun --account=yuxilab -n 1 -N 1 --gres=gpu:L40S:1 bash -c '
-            # Use the pip-installed CUDA 12.8 toolkit (matches the 12.8 driver),
-            # not any system CUDA on the runner, so numba emits PTX <= 8.7.
-            export CUDA_HOME="$PWD/.venv/lib/python3.11/site-packages/nvidia/cuda_nvcc"
-            export CUPY_PYLOPS=1
-            export TEST_CUPY_PYLOPS=1
-            uv run pytest --color=yes pytests/
-          '
+          export CUDA_HOME="${CUDA_HOME:-$PWD/.venv/lib/python3.11/site-packages/nvidia/cuda_nvcc}"
+          export CUPY_PYLOPS=1
+          export TEST_CUPY_PYLOPS=1
+          export LD_LIBRARY_PATH="$CUDA_HOME/lib64:$CUDA_NVVM_LIB:$LD_LIBRARY_PATH"
+          export NUMBA_CUDA_NVVM="$CUDA_NVVM_LIB/libnvvm.so"
+          uv run --no-sync pytest --color=yes pytests/
           echo "done!"
diff --git a/.github/workflows/buildcupy1.yaml b/.github/workflows/buildcupy1.yaml
new file mode 100644
index 00000000..71c4fbff
--- /dev/null
+++ b/.github/workflows/buildcupy1.yaml
@@ -0,0 +1,58 @@
+name: PyLops Testing (CuPy)
+
+on:
+  pull_request:
+    types: [opened, synchronize, reopened]
+  push:
+    branches:
+      - main
+      - dev
+
+jobs:
+  build:
+    runs-on:
+      - self-hosted
+      - uni
+    steps:
+      - name: Check out source repository
+        uses: actions/checkout@v6
+        with:
+          fetch-depth: 0
+      - name: Install uv with Python 3.11
+        uses: astral-sh/setup-uv@v6
+        with:
+          python-version: 3.11
+      - name: Install dependencies and pylops
+        run: |
+          srun --account=yuxilab -n 1 -N 1 --gres=gpu:L40S:1 bash -c '
+            uv sync --locked  --extra advanced \
+              --extra stat --extra gpu-cu12 \
+              --extra deep-cu128 --all-groups
+          '
+          echo "done!"
+      - name: Install CUDA 12.8 toolkit
+        run: |
+          srun --account=yuxilab -n 1 -N 1 --gres=gpu:L40S:1 bash -c '
+            # Currently, the NVIDIA GPU drivers on the self-hosted runner
+            # and the CUDA installation in CUDA_HOME require different PTX versions
+            # (8.7 and 8.8, respectively). CUDA and NVCC are temporarely
+            # installed in the uv environment, and the CUDA paths are set in
+            # the test command, to work around this issue.
+            uv add nvidia-cuda-nvcc-cu12==12.8.*
+            # Numba resolves libNVVM via CUDA_HOME and needs a versioned
+            # libnvvm.so.N (the pip wheel only ships a bare libnvvm.so), so
+            # add the symlink once here against the wheel-provided toolkit.
+            ln -sf libnvvm.so .venv/lib/python3.11/site-packages/nvidia/cuda_nvcc/nvvm/lib64/libnvvm.so.4
+          '
+          echo "done!"
+      - name: Test with pytest
+        run: |
+          srun --account=yuxilab -n 1 -N 1 --gres=gpu:L40S:1 bash -c '
+            # Use the pip-installed CUDA 12.8 toolkit (matches the 12.8 driver),
+            # not any system CUDA on the runner, so numba emits PTX <= 8.7.
+            export CUDA_HOME="$PWD/.venv/lib/python3.11/site-packages/nvidia/cuda_nvcc"
+            export CUPY_PYLOPS=1
+            export TEST_CUPY_PYLOPS=1
+            uv run pytest --color=yes pytests/
+          '
+          echo "done!"