diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml
index 0a6a57510d7..8d2ea71e4df 100644
--- a/.github/workflows/publish.yml
+++ b/.github/workflows/publish.yml
@@ -44,7 +44,7 @@ jobs:
           # manylinux docker image, but I haven't figured out how to install CUDA on manylinux.
           os: [ubuntu-22.04]
           python-version: ['3.9', '3.10', '3.11', '3.12', '3.13']
-          torch-version: ['2.4.0', '2.5.1', '2.6.0', '2.7.1']
+          torch-version: ['2.4.0', '2.5.1', '2.6.0', '2.7.1', '2.8.0']
           cuda-version: ['12.9.1']
           # We need separate wheels that either uses C++11 ABI (-D_GLIBCXX_USE_CXX11_ABI) or not.
           # Pytorch wheels currently don't use it, but nvcr images have Pytorch compiled with C++11 ABI.
@@ -111,8 +111,8 @@ jobs:
           # see https://github.com/pytorch/pytorch/blob/main/RELEASE.md#release-compatibility-matrix
           # This code is ugly, maybe there's a better way to do this.
           export TORCH_CUDA_VERSION=$(python -c "from os import environ as env; \
-            minv = {'2.4': 118, '2.5': 118, '2.6': 118, '2.7': 118}[env['MATRIX_TORCH_VERSION']]; \
-            maxv = {'2.4': 124, '2.5': 124, '2.6': 126, '2.7': 128}[env['MATRIX_TORCH_VERSION']]; \
+            minv = {'2.4': 118, '2.5': 118, '2.6': 118, '2.7': 118, '2.8': 126}[env['MATRIX_TORCH_VERSION']]; \
+            maxv = {'2.4': 124, '2.5': 124, '2.6': 126, '2.7': 128, '2.8': 129}[env['MATRIX_TORCH_VERSION']]; \
             print(minv if int(env['MATRIX_CUDA_VERSION']) < 120 else maxv)" \
           )
           if [[ ${{ matrix.torch-version }} == *"dev"* ]]; then