Reference Source

PyTorch 2.9 with CUDA 13.0

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
PyTorch release
2.9 verified
CUDA build
CUDA 13.0 verified
Python versions
>=3.10, <=(3.14, 3.14t experimental) verified
cuDNN version
9.13.0.50 verified
GPU architectures compiled in, Linux wheel
7.5;8.0;8.6;9.0;10.0;12.0+PTX verified
GPU architectures compiled in, Windows wheel
7.5;8.0;8.6;9.0;10.0;12.0 verified
Minimum driver (minor version compatibility)
>= 580 verified
Wheel index URL
https://download.pytorch.org/whl/cu130 our reading
Sourceraw.githubusercontent.com
Verified
Review by
DatasetPyTorch release, CUDA build and NVIDIA driver pairings

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

| 2.9 | >=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 |

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

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

— all from raw.githubusercontent.com, retrieved 2026-09-16

Sources

Last verified against source: . Due for re-check by . This page as Markdown · OKF bundle · full dataset as JSON.