PyTorch 2.13 with CUDA 12.6
For PyTorch 2.13 with CUDA 12.6, pytorch release is 2.13; cuda build is CUDA 12.6; python versions is >=3.10, <=(3.15, 3.15t experimental); cudnn version is 9.10.2.21; gpu architectures compiled in, linux wheel is Maxwell(5.0), Pascal(6.0), Volta(7.0), Turing(7.5), Ampere(8.0, 8.6), Hopper(9.0), recorded from its source on 2026-09-16.
- Pairing
- PyTorch 2.13 with CUDA 12.6 our reading
- PyTorch release
- 2.13 verified
- CUDA build
- CUDA 12.6 verified
- Python versions
- >=3.10, <=(3.15, 3.15t experimental) verified
- cuDNN version
- 9.10.2.21 verified
- GPU architectures compiled in, Linux wheel
- Maxwell(5.0), Pascal(6.0), Volta(7.0), Turing(7.5), Ampere(8.0, 8.6), Hopper(9.0) verified
- GPU architectures compiled in, Windows wheel
- 5.0;6.0;6.1;7.0;7.5;8.0;8.6;9.0 verified
- Minimum driver (minor version compatibility)
- >= 525 verified
- Toolkit driver, Linux x86_64
- >=560.28.03 verified
- Toolkit driver, Windows x86_64
- >=560.76 verified
- Wheel index URL
- https://download.pytorch.org/whl/cu126 our reading
Values marked our reading are our classification of what the source says — the source does not print them in those words. The quote below is the evidence for each one; judge it yourself.
What the source says
| 2.13 | >=3.10, <=(3.15, 3.15t experimental) | C++20 | CUDA 12.6 (CUDNN 9.10.2.21) (NCCL 2.29.3), CUDA 13.0 (CUDNN 9.20.0.48) (NCCL 2.29.7) | CUDA 13.2 (CUDNN 9.20.0.48) (NCCL 2.29.7) | ROCm 7.2 |
— raw.githubusercontent.com, retrieved 2026-09-16
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
| 12.6.3 | Maxwell(5.0), Pascal(6.0), Volta(7.0), Turing(7.5), Ampere(8.0, 8.6), Hopper(9.0) | |
GPU architectures compiled in, Windows wheel
if "%CUDA_VER%"=="126" ( set "CUDA_DOTTED_VERSION=12.6" set "CUDA_ARCH_LIST=5.0;6.0;6.1;7.0;7.5;8.0;8.6;9.0"
Minimum driver (minor version compatibility)
12.x | >= 525 | < 580
Toolkit driver, Linux x86_64 and Toolkit driver, Windows x86_64
CUDA 12.6 GA | >=560.28.03 | >=560.76
— all from raw.githubusercontent.com, retrieved 2026-09-16
Sources
- raw.githubusercontent.comhttps://raw.githubusercontent.com/pytorch/pytorch/main/RELEASE.md
- raw.githubusercontent.comhttps://raw.githubusercontent.com/pytorch/pytorch/release/2.13/.ci/pytorch/windows/internal/cuda_config.bat
- docs.nvidia.comhttps://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html