diff --git a/.github/workflows/cuda/cu129-Windows.sh b/.github/workflows/cuda/cu129-Windows.sh
index c6764fec..24bfeb4d 100755
--- a/.github/workflows/cuda/cu129-Windows.sh
+++ b/.github/workflows/cuda/cu129-Windows.sh
@@ -6,8 +6,8 @@ curl -k -L "https://drive.google.com/u/0/uc?id=1injUyo3lnarMgWyRcXqKg4UGnN0ysmuq
 7z x "/tmp/gpu_driver_dlls.zip" -o"/c/Windows/System32"
 
 export CUDA_SHORT=12.9
-export CUDA_URL=https://developer.download.nvidia.com/compute/cuda/${CUDA_SHORT}.0/local_installers
-export CUDA_FILE=cuda_${CUDA_SHORT}.0_571.96_windows.exe
+export CUDA_URL=https://developer.download.nvidia.com/compute/cuda/${CUDA_SHORT}.1/local_installers
+export CUDA_FILE=cuda_${CUDA_SHORT}.1_576.57_windows.exe
 
 # Install CUDA:
 curl -k -L "${CUDA_URL}/${CUDA_FILE}" --output "${CUDA_FILE}"
diff --git a/README.md b/README.md
index f397b671..f0b1b9c0 100644
--- a/README.md
+++ b/README.md
@@ -45,6 +45,22 @@ All included operations are broadcastable, work on varying data types, are imple
 
 We provide pip wheels for all major OS/PyTorch/CUDA combinations, see [here](https://data.pyg.org/whl).
 
+#### PyTorch 2.8
+
+To install the binaries for PyTorch 2.8.0, simply run
+
+```
+pip install torch-scatter -f https://data.pyg.org/whl/torch-2.8.0+${CUDA}.html
+```
+
+where `${CUDA}` should be replaced by either `cpu`, `cu126`, `cu128`, or `cu129` depending on your PyTorch installation.
+
+|             | `cpu` | `cu126` | `cu128` | `cu129` |
+|-------------|-------|---------|---------|---------|
+| **Linux**   | ✅    | ✅      | ✅      | ✅      |
+| **Windows** | ✅    | ✅      | ✅      | ✅      |
+| **macOS**   | ✅    |         |         |         |
+
 #### PyTorch 2.7
 
 To install the binaries for PyTorch 2.7.0, simply run