PyTorch 2.14 with CUDA 13.0

For PyTorch 2.14 with CUDA 13.0, pytorch release is 2.14; cuda build is CUDA 13.0; 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; source re-checked 2026-10-15.

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

CUDA build and cuDNN version

The source prints these values inside the passage below but does not name them there. The passage shows where each one appears; what ties them to this record is the position on the page, not anything the passage 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 |

— raw.githubusercontent.com, retrieved 2026-09-14

Where each value comes from

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

— all from raw.githubusercontent.com, retrieved 2026-09-14

Sources

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

Last verified against source: 2026-10-15. Due for re-check by 2027-01-13. This page as Markdown · OKF bundle · full dataset as JSON.