# PyTorch 2.14 with CUDA 13.2 — PyTorch release, CUDA build and NVIDIA driver pairings

For PyTorch 2.14 with CUDA 13.2, pytorch release is 2.14; cuda build is CUDA 13.2; python versions is >=3.10, <=(3.15, 3.15t experimental); cudnn version is 9.24.0.43; gpu architectures compiled in, linux wheel is Turing(7.5), Ampere(8.0, 8.6), Hopper(9.0), Blackwell(10.0, 12.0+PTX), recorded from its source on 2026-09-14.

- **Pairing:** PyTorch 2.14 with CUDA 13.2 _(our reading, not quoted from the source)_
- **PyTorch release:** 2.14 _(verified: appears in the quote below)_
- **CUDA build:** CUDA 13.2 _(verified: appears in the quote below)_
- **Python versions:** >=3.10, <=(3.15, 3.15t experimental) _(verified: appears in the quote below)_
- **cuDNN version:** 9.24.0.43 _(verified: appears in the quote below)_
- **GPU architectures compiled in, Linux wheel:** Turing(7.5), Ampere(8.0, 8.6), Hopper(9.0), Blackwell(10.0, 12.0+PTX) _(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/cu132 _(our reading, not quoted from the source)_

## What the source says

> | 2.14 | >=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 9.24.0.43) (NCCL 2.30.7), CUDA 13.2 (CUDNN 9.24.0.43) (NCCL 2.30.7) | -- | ROCm 7.14 |

## 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

> | 13.2.1 | Turing(7.5), Ampere(8.0, 8.6), Hopper(9.0), Blackwell(10.0, 12.0+PTX) | +PTX available on linux builds only |

### Minimum driver (minor version compatibility)

> 13.x | >= 580 | N/A

## Source

- https://raw.githubusercontent.com/pytorch/pytorch/main/RELEASE.md
- https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html

Last verified: 2026-09-14. Review by: 2026-12-13.
Part of [PyTorch release, CUDA build and NVIDIA driver pairings](https://referencesource.org/gpu-cuda-pytorch-compatibility/).