diff --git a/.github/workflows/distcheck.yaml b/.github/workflows/distcheck.yaml
new file mode 100644
index 000000000..b0f00c268
--- /dev/null
+++ b/.github/workflows/distcheck.yaml
@@ -0,0 +1,56 @@
+name: Distribution checks
+on: [push, pull_request]
+env:
+  APT_PACKAGES: >-
+    build-essential
+    gcc
+    git
+    liblttng-ust-dev
+    make
+    pkg-config
+  APT_REPOS: >-
+    ppa:lttng/ppa
+jobs:
+  linux:
+    runs-on: ubuntu-22.04
+    strategy:
+      matrix:
+        cc:
+          - gcc
+          - clang
+      fail-fast: false
+    steps:
+      - name: Install dependencies (Linux)
+        run: |
+          sudo apt-add-repository ${{ env.APT_REPOS }}
+          sudo apt-get update
+          sudo apt-get install -y ${{ env.APT_PACKAGES }}
+      - name: Install CUDA
+        run: |
+          sudo apt-get install -y nvidia-cuda-toolkit
+      - uses: actions/checkout@v4
+      - name: Build Check
+        run: |
+          set -x
+
+          # Install libfabric. We're just doing distchecks, so it is fine if we
+          # just grab the latest master.
+          git clone --depth 1 https://github.com/ofiwg/libfabric.git
+          pushd libfabric
+          ./autogen.sh
+          ./configure --prefix=$PWD/install CC=${{ matrix.cc }}
+          make -j 4; make install
+          popd
+          $PWD/libfabric/install/bin/fi_info -l
+
+          # Run the unit tests and make sure distcheck is able to generate a
+          # tarball successfully.
+          ./autogen.sh
+          ./configure --with-libfabric=$PWD/libfabric/install --with-cuda=/usr/local/cuda/ CC=clang
+          make -j4; make check; make distcheck
+      - name: Upload build logs
+        if: failure()
+        uses: actions/upload-artifact@v3
+        with:
+          name: ${{ matrix.cc }}-config.log
+          path: config.log