# PyTorch 2.10 with CUDA 12.8 — PyTorch release, CUDA build and NVIDIA driver pairings

For PyTorch 2.10 with CUDA 12.8, pytorch release is 2.10; cuda build is CUDA 12.8; python versions is >=3.10, <=(3.14, 3.14t experimental); cudnn version is 9.10.2.21; build script: base architecture list is TORCH_CUDA_ARCH_LIST="7.0;7.5;8.0;8.6;9.0", recorded from its source on 2026-09-16.

- **Pairing:** PyTorch 2.10 with CUDA 12.8 _(our reading, not quoted from the source)_
- **PyTorch release:** 2.10 _(verified: appears in the quote below)_
- **CUDA build:** CUDA 12.8 _(verified: appears in the quote below)_
- **Python versions:** >=3.10, <=(3.14, 3.14t experimental) _(verified: appears in the quote below)_
- **cuDNN version:** 9.10.2.21 _(verified: appears in the quote below)_
- **Build script: base architecture list:** TORCH_CUDA_ARCH_LIST="7.0;7.5;8.0;8.6;9.0" _(verified: appears in its own passage below)_
- **Build script: this CUDA build's architecture line:** TORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST};10.0;12.0" _(verified: appears in its own passage below)_
- **GPU architectures compiled in, Windows wheel:** 7.0;7.5;8.0;8.6;9.0;10.0;12.0 _(verified: appears in its own passage below)_
- **Minimum driver (minor version compatibility):** >= 525 _(verified: appears in its own passage below)_
- **Toolkit driver, Linux x86_64:** >=570.26 _(verified: appears in its own passage below)_
- **Toolkit driver, Windows x86_64:** >=570.65 _(verified: appears in its own passage below)_
- **Wheel index URL:** https://download.pytorch.org/whl/cu128 _(our reading, not quoted from the source)_

## What the source says

> | 2.10 | >=3.10, <=(3.14, 3.14t experimental) | C++17 | CUDA 12.6 (CUDNN 9.10.2.21) (NCCL 2.27.5), CUDA 12.8 (CUDNN 9.10.2.21) (NCCL 2.27.5) | CUDA 13.0 (CUDNN 9.15.1.9) (NCCL 2.28.9) | ROCm 7.1 |

## Where each value comes from

This source states these in separate places, so each value is shown with the passage that states it.

### Build script: base architecture list

> TORCH_CUDA_ARCH_LIST="7.0;7.5;8.0;8.6;9.0"

### Build script: this CUDA build's architecture line

> 12.8) TORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST};10.0;12.0" ;; # +Hopper/Blackwell support

### GPU architectures compiled in, Windows wheel

> IF "%BUILD_VISION%" == "" ( set TORCH_CUDA_ARCH_LIST=7.0;7.5;8.0;8.6;9.0;10.0;12.0

### Minimum driver (minor version compatibility)

> 12.x | >= 525 | < 580

### Toolkit driver, Linux x86_64

> CUDA 12.8 GA | >=570.26 | >=570.65

### Toolkit driver, Windows x86_64

> CUDA 12.8 GA | >=570.26 | >=570.65

## Source

- https://raw.githubusercontent.com/pytorch/pytorch/main/RELEASE.md
- https://raw.githubusercontent.com/pytorch/pytorch/release/2.10/.ci/manywheel/build_cuda.sh
- https://raw.githubusercontent.com/pytorch/pytorch/release/2.10/.ci/pytorch/windows/cuda128.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/).