From f4cf75688f0fd93466589addfb7d0ec33e46e3bf Mon Sep 17 00:00:00 2001 From: atalman Date: Thu, 2 Oct 2025 16:59:48 +0000 Subject: [PATCH] Add CUDA release architecture matrix (#164471) We should surface the CUDA architecture matrix to make things more transparent. I believe this can later become its own page where we will publish supported matrix for each release. Pull Request resolved: https://github.com/pytorch/pytorch/pull/164471 Approved by: https://github.com/Camyll --- RELEASE.md | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) diff --git a/RELEASE.md b/RELEASE.md index 52371e73f0a6..87f042d659fd 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -3,6 +3,7 @@ - [Release Compatibility Matrix](#release-compatibility-matrix) + - [PyTorch CUDA Support Matrix](#pytorch-cuda-support-matrix) - [Release Cadence](#release-cadence) - [General Overview](#general-overview) - [Frequently Asked Questions](#frequently-asked-questions) @@ -63,6 +64,22 @@ Following is the Release Compatibility Matrix for PyTorch releases: | 1.13 | >=3.7, <=3.10 | C++14 | CUDA 11.6, CUDNN 8.3.2.44 | CUDA 11.7, CUDNN 8.5.0.96 | ROCm 5.2 | | 1.12 | >=3.7, <=3.10 | C++14 | CUDA 11.3, CUDNN 8.3.2.44 | CUDA 11.6, CUDNN 8.3.2.44 | ROCm 5.0 | +### PyTorch CUDA Support Matrix + +For Release 2.9 PyTorch Supports following CUDA Architectures: + +| CUDA | architectures supported for Linux x86 and Windows builds | notes | +| --- | --- | --- | +| 12.6.3 | Maxwell(5.0), Pascal(6.0), Volta(7.0), Turing(7.5), Ampere(8.0, 8.6), Hopper(9.0) | | +| 12.8.1 | Volta(7.0), Turing(7.5), Ampere(8.0, 8.6), Hopper(9.0), Blackwell(10.0, 12.0) | | +| 13.0.0 | Turing(7.5), Ampere(8.0, 8.6), Hopper(9.0), Blackwell(10.0, 12.0+PTX) | +PTX available on linux builds only | + +| CUDA | architectures supported for Linux aarch64 builds | +| --- | --- | +| 12.6.3 | Ampere(8.0), Hopper(9.0) | +| 12.8.1 | Ampere(8.0), Hopper(9.0), Blackwell(10.0, 12.0) | +| 13.0.0 | Ampere(8.0), Hopper(9.0), Blackwell(10.0, 11.0, 12.0+PTX) | + ## Release Cadence Following is the release cadence. All future dates below are tentative. For latest updates on the release schedule, please follow [dev discuss](https://dev-discuss.pytorch.org/c/release-announcements/27). Please note: Patch Releases are optional.