diff --git a/.github/workflows/_build-tutorials-base.yml b/.github/workflows/_build-tutorials-base.yml
new file mode 100644
index 00000000000..e33c8c4bd67
--- /dev/null
+++ b/.github/workflows/_build-tutorials-base.yml
@@ -0,0 +1,194 @@
+name: Build tutorials
+
+on:
+  workflow_call:
+    inputs:
+      USE_NIGHTLY:
+        description: "Use nightly builds inside build.sh"
+        required: false
+        type: number
+        default: 0
+      UPLOAD:
+        description: "Upload built docs to PR preview and main site"
+        required: false
+        type: number
+        default: 0
+
+jobs:
+  worker:
+    name: pytorch_tutorial_build_worker
+    strategy:
+      matrix:
+        include:
+          - { shard: 1, num_shards: 15, runner: "linux.g5.12xlarge.nvidia.gpu" }
+          - { shard: 2, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
+          - { shard: 3, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
+          - { shard: 4, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
+          - { shard: 5, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
+          - { shard: 6, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
+          - { shard: 7, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
+          - { shard: 8, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
+          - { shard: 9, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
+          - { shard: 10, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
+          - { shard: 11, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
+          - { shard: 12, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
+          - { shard: 13, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
+          - { shard: 14, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
+          - { shard: 15, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
+      fail-fast: false
+    runs-on: ${{ matrix.runner }}
+    steps:
+      - name: Setup SSH (Click me for login details)
+        uses: pytorch/test-infra/.github/actions/setup-ssh@main
+        with:
+          github-secret: ${{ secrets.GITHUB_TOKEN }}
+          instructions: |
+            All testing is done inside the container, to start an interactive session run:
+              docker exec -it $(docker container ps --format '{{.ID}}') bash
+
+      - name: Checkout Tutorials
+        uses: actions/checkout@v3
+        with:
+          fetch-depth: 0
+
+      - name: Setup Linux
+        uses: pytorch/pytorch/.github/actions/setup-linux@main
+
+      - name: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG
+        uses: pytorch/test-infra/.github/actions/setup-nvidia@main
+
+      - name: Calculate/build docker image
+        id: calculate-docker-image
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
+        with:
+          docker-image-name: tutorials
+
+      - name: Pull docker image
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
+        with:
+          docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
+
+      - name: Build
+        shell: bash
+        env:
+          DOCKER_IMAGE: ${{ steps.calculate-docker-image.outputs.docker-image }}
+          NUM_WORKERS: ${{ matrix.num_shards }}
+          WORKER_ID: ${{ matrix.shard }}
+          COMMIT_ID: ${{ github.sha }}
+          JOB_TYPE: worker
+          COMMIT_SOURCE: ${{ github.ref }}
+          USE_NIGHTLY: ${{ inputs.USE_NIGHTLY }}
+          UPLOAD: ${{ inputs.UPLOAD }}
+        run: |
+          set -ex
+
+          chmod +x ".jenkins/build.sh"
+
+          container_name=$(docker run \
+            ${GPU_FLAG:-} \
+            -e WORKER_ID \
+            -e NUM_WORKERS \
+            -e COMMIT_ID \
+            -e JOB_TYPE \
+            -e COMMIT_SOURCE \
+            -e USE_NIGHTLY \
+            -e UPLOAD \
+            --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
+            --tty \
+            --detach \
+            --shm-size=2gb \
+            --name="${container_name}" \
+            -v "${GITHUB_WORKSPACE}:/var/lib/workspace" \
+            -w /var/lib/workspace \
+            "${DOCKER_IMAGE}"
+          )
+
+          docker exec -u ci-user -t "${container_name}" sh -c ".jenkins/build.sh"
+
+      - name: Teardown Linux
+        uses: pytorch/test-infra/.github/actions/teardown-linux@main
+        if: always()
+
+  manager:
+    name: pytorch_tutorial_build_manager
+    needs: worker
+    runs-on: [self-hosted, linux.2xlarge]
+    if: ${{ inputs.UPLOAD == 1 }}
+    environment: ${{ github.ref == 'refs/heads/main' && 'pytorchbot-env' || '' }}
+    steps:
+      - name: Setup SSH (Click me for login details)
+        uses: pytorch/test-infra/.github/actions/setup-ssh@main
+        with:
+          github-secret: ${{ secrets.GITHUB_TOKEN }}
+          instructions: |
+            All testing is done inside the container, to start an interactive session run:
+              docker exec -it $(docker container ps --format '{{.ID}}') bash
+
+      - name: Checkout Tutorials
+        uses: actions/checkout@v3
+        with:
+          fetch-depth: 0
+
+      - name: Setup Linux
+        uses: pytorch/pytorch/.github/actions/setup-linux@main
+
+      - name: Calculate/build docker image
+        id: calculate-docker-image
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
+        with:
+          docker-image-name: tutorials
+
+      - name: Pull docker image
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
+        with:
+          docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
+
+      - name: Build
+        shell: bash
+        env:
+          DOCKER_IMAGE: ${{ steps.calculate-docker-image.outputs.docker-image }}
+          NUM_WORKERS: 15
+          WORKER_ID: 0
+          COMMIT_ID: ${{ github.sha }}
+          JOB_TYPE: manager
+          COMMIT_SOURCE: ${{ github.ref }}
+          GITHUB_PYTORCHBOT_TOKEN: ${{ secrets.PYTORCHBOT_TOKEN }}
+          USE_NIGHTLY: ${{ inputs.USE_NIGHTLY }}
+        run: |
+          set -ex
+
+          chmod +x ".jenkins/build.sh"
+
+          container_name=$(docker run \
+            ${GPU_FLAG:-} \
+            -e WORKER_ID \
+            -e NUM_WORKERS \
+            -e COMMIT_ID \
+            -e JOB_TYPE \
+            -e COMMIT_SOURCE \
+            -e GITHUB_PYTORCHBOT_TOKEN \
+            -e USE_NIGHTLY \
+            --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
+            --tty \
+            --detach \
+            --name="${container_name}" \
+            -v "${GITHUB_WORKSPACE}:/var/lib/workspace" \
+            -w /var/lib/workspace \
+            "${DOCKER_IMAGE}"
+          )
+
+          docker exec -u ci-user -t "${container_name}" sh -c ".jenkins/build.sh"
+
+      - name: Upload docs preview
+        uses: seemethere/upload-artifact-s3@v5
+        if: ${{ github.event_name == 'pull_request' }}
+        with:
+          retention-days: 14
+          s3-bucket: doc-previews
+          if-no-files-found: error
+          path: docs
+          s3-prefix: pytorch/tutorials/${{ github.event.pull_request.number }}
+
+      - name: Teardown Linux
+        uses: pytorch/test-infra/.github/actions/teardown-linux@main
+        if: always()
diff --git a/.github/workflows/build-tutorials-nightly.yml b/.github/workflows/build-tutorials-nightly.yml
new file mode 100644
index 00000000000..60f8d3a1fdc
--- /dev/null
+++ b/.github/workflows/build-tutorials-nightly.yml
@@ -0,0 +1,35 @@
+name: Build tutorials (nightly/test)
+# This is a workflow to build tutorials using nightly or the test/release
+# candidate builds for pytorch libraries. It downloads torch and other torch
+# related libraries from the nightly or test channel and checks that the
+# tutorials can run. This workflow will not upload the built docs anywhere in
+# order to prevent polluting the official documentation.
+
+# During releases, this workflow should be run on PRs to verify that the
+# tutorials work with the test/rc builds before the official release is made.
+# When there is no release candidate, this workflow should only be run on the
+# main branch since nightly can be unstable and we do not want to block PRs due
+# to failures in this workflow.
+
+# To change the channel between nightly and test/rc, change the index used to
+# download the binaries in .jenkins/build.sh.
+on:
+  # Only main branch for now. Uncomment the below line to enable it on PRs.
+  # pull_request:
+
+  # Comment out the below line to disable on the main branch
+  push:
+    branches:
+      - main
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }}-${{ github.event_name == 'workflow_dispatch' }}-${{ github.event_name == 'schedule' }}
+  cancel-in-progress: true
+
+jobs:
+  build:
+    uses: ./.github/workflows/_build-tutorials-base.yml
+    secrets: inherit
+    with:
+      USE_NIGHTLY: 1
+      UPLOAD: 0
diff --git a/.github/workflows/build-tutorials.yml b/.github/workflows/build-tutorials.yml
index 94cfd5843a0..58372d557e6 100644
--- a/.github/workflows/build-tutorials.yml
+++ b/.github/workflows/build-tutorials.yml
@@ -11,173 +11,9 @@ concurrency:
   cancel-in-progress: true
 
 jobs:
-  worker:
-    name: pytorch_tutorial_build_worker
-    strategy:
-      matrix:
-        include:
-          - { shard: 1, num_shards: 15, runner: "linux.g5.12xlarge.nvidia.gpu" }
-          - { shard: 2, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
-          - { shard: 3, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
-          - { shard: 4, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
-          - { shard: 5, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
-          - { shard: 6, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
-          - { shard: 7, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
-          - { shard: 8, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
-          - { shard: 9, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
-          - { shard: 10, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
-          - { shard: 11, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
-          - { shard: 12, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
-          - { shard: 13, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
-          - { shard: 14, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
-          - { shard: 15, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" }
-      fail-fast: false
-    runs-on: ${{ matrix.runner }}
-    steps:
-      - name: Setup SSH (Click me for login details)
-        uses: pytorch/test-infra/.github/actions/setup-ssh@main
-        with:
-          github-secret: ${{ secrets.GITHUB_TOKEN }}
-          instructions: |
-            All testing is done inside the container, to start an interactive session run:
-              docker exec -it $(docker container ps --format '{{.ID}}') bash
-
-      - name: Checkout Tutorials
-        uses: actions/checkout@v3
-        with:
-          fetch-depth: 0
-
-      - name: Setup Linux
-        uses: pytorch/pytorch/.github/actions/setup-linux@main
-
-      - name: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG
-        uses: pytorch/test-infra/.github/actions/setup-nvidia@main
-
-      - name: Calculate/build docker image
-        id: calculate-docker-image
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
-        with:
-          docker-image-name: tutorials
-
-      - name: Pull docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
-        with:
-          docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
-
-      - name: Build
-        shell: bash
-        env:
-          DOCKER_IMAGE: ${{ steps.calculate-docker-image.outputs.docker-image }}
-          NUM_WORKERS: ${{ matrix.num_shards }}
-          WORKER_ID: ${{ matrix.shard }}
-          COMMIT_ID: ${{ github.sha }}
-          JOB_TYPE: worker
-          COMMIT_SOURCE: ${{ github.ref }}
-        run: |
-          set -ex
-
-          chmod +x ".jenkins/build.sh"
-
-          container_name=$(docker run \
-            ${GPU_FLAG:-} \
-            -e WORKER_ID \
-            -e NUM_WORKERS \
-            -e COMMIT_ID \
-            -e JOB_TYPE \
-            -e COMMIT_SOURCE \
-            --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
-            --tty \
-            --detach \
-            --shm-size=2gb \
-            --name="${container_name}" \
-            -v "${GITHUB_WORKSPACE}:/var/lib/workspace" \
-            -w /var/lib/workspace \
-            "${DOCKER_IMAGE}"
-          )
-
-          docker exec -u ci-user -t "${container_name}" sh -c ".jenkins/build.sh"
-
-      - name: Teardown Linux
-        uses: pytorch/test-infra/.github/actions/teardown-linux@main
-        if: always()
-
-  manager:
-    name: pytorch_tutorial_build_manager
-    needs: worker
-    runs-on: [self-hosted, linux.2xlarge]
-    environment: ${{ github.ref == 'refs/heads/main' && 'pytorchbot-env' || '' }}
-    steps:
-      - name: Setup SSH (Click me for login details)
-        uses: pytorch/test-infra/.github/actions/setup-ssh@main
-        with:
-          github-secret: ${{ secrets.GITHUB_TOKEN }}
-          instructions: |
-            All testing is done inside the container, to start an interactive session run:
-              docker exec -it $(docker container ps --format '{{.ID}}') bash
-
-      - name: Checkout Tutorials
-        uses: actions/checkout@v3
-        with:
-          fetch-depth: 0
-
-      - name: Setup Linux
-        uses: pytorch/pytorch/.github/actions/setup-linux@main
-
-      - name: Calculate/build docker image
-        id: calculate-docker-image
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
-        with:
-          docker-image-name: tutorials
-
-      - name: Pull docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
-        with:
-          docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
-
-      - name: Build
-        shell: bash
-        env:
-          DOCKER_IMAGE: ${{ steps.calculate-docker-image.outputs.docker-image }}
-          NUM_WORKERS: 15
-          WORKER_ID: ${{ matrix.shard }}
-          COMMIT_ID: ${{ github.sha }}
-          JOB_TYPE: manager
-          COMMIT_SOURCE: ${{ github.ref }}
-          GITHUB_PYTORCHBOT_TOKEN: ${{ secrets.PYTORCHBOT_TOKEN }}
-        run: |
-          set -ex
-
-          chmod +x ".jenkins/build.sh"
-
-          container_name=$(docker run \
-            ${GPU_FLAG:-} \
-            -e WORKER_ID \
-            -e NUM_WORKERS \
-            -e COMMIT_ID \
-            -e JOB_TYPE \
-            -e COMMIT_SOURCE \
-            -e GITHUB_PYTORCHBOT_TOKEN \
-            --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
-            --tty \
-            --detach \
-            --name="${container_name}" \
-            -v "${GITHUB_WORKSPACE}:/var/lib/workspace" \
-            -w /var/lib/workspace \
-            "${DOCKER_IMAGE}"
-          )
-
-          docker exec -u ci-user -t "${container_name}" sh -c ".jenkins/build.sh"
-
-      - name: Upload docs preview
-        uses: seemethere/upload-artifact-s3@v5
-        if: ${{ github.event_name == 'pull_request' }}
-        with:
-          retention-days: 14
-          s3-bucket: doc-previews
-          if-no-files-found: error
-          path: docs
-          s3-prefix: pytorch/tutorials/${{ github.event.pull_request.number }}
-
-      - name: Teardown Linux
-        uses: pytorch/test-infra/.github/actions/teardown-linux@main
-        if: always()
+  build:
+    uses: ./.github/workflows/_build-tutorials-base.yml
+    secrets: inherit
+    with:
+      USE_NIGHTLY: 0
+      UPLOAD: 1
diff --git a/.jenkins/build.sh b/.jenkins/build.sh
index 72d30655db8..32ceec660da 100755
--- a/.jenkins/build.sh
+++ b/.jenkins/build.sh
@@ -19,7 +19,13 @@ sudo apt-get install -y pandoc
 # NS: Path to python runtime should already be part of docker container
 # export PATH=/opt/conda/bin:$PATH
 
-#Install PyTorch Nightly for test.
+# Install PyTorch Nightly for test.
+if [ "${USE_NIGHTLY:-0}" -eq 1 ]; then
+  sudo pip uninstall -y torch torchvision torchaudio
+  pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu130
+  pip show torch
+fi
+
 # Nightly - pip install --pre torch torchvision torchaudio -f https://download.pytorch.org/whl/nightly/cu102/torch_nightly.html
 # Install 2.5 to merge all 2.4 PRs - uncomment to install nightly binaries (update the version as needed).
 # sudo pip uninstall -y fbgemm-gpu torchrec
@@ -114,8 +120,10 @@ if [[ "${JOB_TYPE}" == "worker" ]]; then
   python .jenkins/validate_tutorials_built.py
 
   # Step 6: Copy generated files to S3, tag with commit ID
-  7z a worker_${WORKER_ID}.7z docs
-  awsv2 s3 cp worker_${WORKER_ID}.7z s3://${BUCKET_NAME}/${COMMIT_ID}/worker_${WORKER_ID}.7z
+  if [ "${UPLOAD:-0}" -eq 1 ]; then
+    7z a worker_${WORKER_ID}.7z docs
+    awsv2 s3 cp worker_${WORKER_ID}.7z s3://${BUCKET_NAME}/${COMMIT_ID}/worker_${WORKER_ID}.7z
+  fi
 elif [[ "${JOB_TYPE}" == "manager" ]]; then
   # Step 1: Generate no-plot HTML pages for all tutorials
   pip3 install -e git+https://github.com/pytorch/pytorch_sphinx_theme.git#egg=pytorch_sphinx_theme