diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml
index d679608..d5447f7 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-20.04]
           python-version: ['3.7', '3.8', '3.9', '3.10', '3.11']
-          torch-version: ['1.12.1', '1.13.1', '2.0.1', '2.1.1', '2.2.0.dev20231130']
+          torch-version: ['1.12.1', '1.13.1', '2.0.1', '2.1.2', '2.2.0.dev20231130', '2.3.0.dev20240126']
           cuda-version: ['11.8.0', '12.2.2']
           # 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.
@@ -52,16 +52,19 @@ jobs:
           # when building without C++11 ABI and using it on nvcr images.
           cxx11_abi: ['FALSE', 'TRUE']
           exclude:
+            # see https://github.com/pytorch/pytorch/blob/main/RELEASE.md#release-compatibility-matrix
             # Pytorch <= 1.12 does not support Python 3.11
             - torch-version: '1.12.1'
               python-version: '3.11'
             # Pytorch >= 2.0 only supports Python >= 3.8
             - torch-version: '2.0.1'
               python-version: '3.7'
-            - torch-version: '2.1.1'
+            - torch-version: '2.1.2'
               python-version: '3.7'
             - torch-version: '2.2.0.dev20231130'
               python-version: '3.7'
+            - torch-version: '2.3.0.dev20240126'
+              python-version: '3.7'
             # Pytorch <= 2.0 only supports CUDA <= 11.8
             - torch-version: '1.12.1'
               cuda-version: '12.2.2'
@@ -121,8 +124,13 @@ jobs:
           pip install lit
           # We want to figure out the CUDA version to download pytorch
           # e.g. we can have system CUDA version being 11.7 but if torch==1.12 then we need to download the wheel from cu116
+          # 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=$(python -c "import os; minv = {'1.12': 113, '1.13': 116, '2.0': 117, '2.1': 118, '2.2': 118}[os.environ['MATRIX_TORCH_VERSION']]; maxv = {'1.12': 116, '1.13': 117, '2.0': 118, '2.1': 121, '2.2': 121}[os.environ['MATRIX_TORCH_VERSION']]; print(max(min(int(os.environ['MATRIX_CUDA_VERSION']), maxv), minv))")
+          export TORCH_CUDA_VERSION=$(python -c "from os import environ as env; \
+            minv = {'1.12': 113, '1.13': 116, '2.0': 117, '2.1': 118, '2.2': 118, '2.3': 118}[env['MATRIX_TORCH_VERSION']]; \
+            maxv = {'1.12': 116, '1.13': 117, '2.0': 118, '2.1': 121, '2.2': 121, '2.3': 121}[env['MATRIX_TORCH_VERSION']]; \
+            print(max(min(int(env['MATRIX_CUDA_VERSION']), maxv), minv))" \
+          )
           if [[ ${{ matrix.torch-version }} == *"dev"* ]]; then
             pip install --no-cache-dir --pre torch==${{ matrix.torch-version }} --index-url https://download.pytorch.org/whl/nightly/cu${TORCH_CUDA_VERSION}
           else