# PyTorch 2.9 with CUDA 13.0 — PyTorch release, CUDA build and NVIDIA driver pairings For PyTorch 2.9 with CUDA 13.0, pytorch release is 2.9; cuda build is CUDA 13.0; python versions is >=3.10, <=(3.14, 3.14t experimental); cudnn version is 9.13.0.50; gpu architectures compiled in, linux wheel is 7.5;8.0;8.6;9.0;10.0;12.0+PTX, recorded from its source on 2026-09-16. - **Pairing:** PyTorch 2.9 with CUDA 13.0 _(our reading, not quoted from the source)_ - **PyTorch release:** 2.9 _(verified: appears in the quote below)_ - **CUDA build:** CUDA 13.0 _(verified: appears in the quote below)_ - **Python versions:** >=3.10, <=(3.14, 3.14t experimental) _(verified: appears in the quote below)_ - **cuDNN version:** 9.13.0.50 _(verified: appears in the quote below)_ - **GPU architectures compiled in, Linux wheel:** 7.5;8.0;8.6;9.0;10.0;12.0+PTX _(verified: appears in its own passage below)_ - **GPU architectures compiled in, Windows wheel:** 7.5;8.0;8.6;9.0;10.0;12.0 _(verified: appears in its own passage below)_ - **Minimum driver (minor version compatibility):** >= 580 _(verified: appears in its own passage below)_ - **Wheel index URL:** https://download.pytorch.org/whl/cu130 _(our reading, not quoted from the source)_ ## What the source says > | 2.9 | >=3.10, <=(3.14, 3.14t experimental) | C++17 | CUDA 12.6 (CUDNN 9.10.2.21), CUDA 12.8 (CUDNN 9.10.2.21) | CUDA 13.0 (CUDNN 9.13.0.50) | ROCm 6.4 | ## Where each value comes from This source states these in separate places, so each value is shown with the passage that states it. ### GPU architectures compiled in, Linux wheel > 13.0) TORCH_CUDA_ARCH_LIST="7.5;8.0;8.6;9.0;10.0;12.0+PTX" ### GPU architectures compiled in, Windows wheel > IF "%BUILD_VISION%" == "" ( set TORCH_CUDA_ARCH_LIST=7.5;8.0;8.6;9.0;10.0;12.0 ### Minimum driver (minor version compatibility) > 13.x | >= 580 | N/A ## Source - https://raw.githubusercontent.com/pytorch/pytorch/main/RELEASE.md - https://raw.githubusercontent.com/pytorch/pytorch/release/2.9/.ci/manywheel/build_cuda.sh - https://raw.githubusercontent.com/pytorch/pytorch/release/2.9/.ci/pytorch/windows/cuda130.bat - https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html Last verified: 2026-09-16. Review by: 2026-12-15. Part of [PyTorch release, CUDA build and NVIDIA driver pairings](https://referencesource.org/gpu-cuda-pytorch-compatibility/).