diff --git a/tensorflow-cpu.yaml b/tensorflow-cpu.yaml
new file mode 100644
index 00000000000..bb0732a2c54
--- /dev/null
+++ b/tensorflow-cpu.yaml
@@ -0,0 +1,146 @@
+#nolint:valid-pipeline-git-checkout-tag
+package:
+  name: tensorflow-cpu
+  version: 0_git20250108
+  epoch: 0
+  description: tensorflow-cpu
+  copyright:
+    - license: Apache-2.0
+  target-architecture:
+    - x86_64
+  options:
+    # We're creating a virtual environment.
+    # Don't pull in other packages if dependencies are already vendored.
+    no-depends: true
+    # Don't install if something is vendored that another package depends on.
+    no-provides: true
+  dependencies:
+    runtime:
+      - bash
+      - build-base
+      - curl
+      - pkgconf
+      - py${{vars.py-version}}-pip
+      - python-${{vars.py-version}}
+      - unzip
+
+vars:
+  py-version: 3.11
+  pypi-package: tensorflow-cpu
+  shared: /usr/share/tensorflow
+
+environment:
+  contents:
+    packages:
+      - build-base
+      - busybox
+      - py${{vars.py-version}}-pip
+      - python-${{vars.py-version}}
+  environment:
+    # This is needed to work around the error "ValueError: ZIP does not support timestamps before 1980"
+    SOURCE_DATE_EPOCH: 315532800
+
+pipeline:
+  - uses: git-checkout
+    with:
+      expected-commit: e23ae5591020ef3cb2917293ed92af7ea70bcdb1
+      repository: https://github.com/tensorflow/build
+      branch: master
+
+  - working-directory: tensorflow_runtime_dockerfiles
+    pipeline:
+      - name: Check latest supported Python version
+      - runs: |
+          PYTHON_VERSION=$(grep -E "^ARG PYTHON_VERSION" cpu.Dockerfile | cut -d '=' -f2 | sed 's|python||g')
+          test "${{vars.py-version}}" == "${PYTHON_VERSION}" || \
+            { echo "error: Python version does not match the latest supported version: want: ${{vars.py-version}} got: ${PYTHON_VERSION} from $(grep -H -n -E '^ARG PYTHON_VERSION' cpu.Dockerfile)" && exit 1; }
+      - name: Create virtual environment
+        runs: |
+          python -m venv .venv
+      - name: Install cpu requirements
+        runs: |
+          source .venv/bin/activate
+          pip install \
+            --no-cache-dir \
+            -r cpu.requirements.txt
+      - name: Install Tensorflow
+        runs: |
+          source .venv/bin/activate
+          pip install \
+            --no-cache-dir \
+            ${{vars.pypi-package}}
+      - name: Install jupyter requirements
+        runs: |
+          source .venv/bin/activate
+          pip install \
+            --no-cache-dir \
+            -r jupyter.requirements.txt \
+            -U
+      - name: Cleanup the virtual environment
+        runs: |
+          find .venv -name "*.pyc" -delete
+          find .venv -name "__pycache__" -exec rm -rf {} +
+      - name: Install the virtual environment
+        runs: |
+          mkdir -p ${{targets.contextdir}}/${{vars.shared}}
+          mv .venv/* ${{targets.contextdir}}/${{vars.shared}}
+          sed -i "s|/home/build/tensorflow_runtime_dockerfiles/.venv|${{vars.shared}}|g" ${{targets.contextdir}}/${{vars.shared}}/bin/*
+      - name: Install bashrc
+        runs: |
+          mkdir -p ${{targets.contextdir}}/etc
+          cp bashrc ${{targets.contextdir}}/etc/bash.bashrc
+      - name: Install tensorflow tutorials
+        runs: |
+          mkdir -p ${{targets.contextdir}}/tf/tensorflow-tutorials
+          cp jupyter.readme.md ${{targets.contextdir}}/tf/tensorflow-tutorials/README.md
+
+test:
+  environment:
+    contents:
+      packages:
+        - curl
+    environment:
+      PYTHONPATH: ${{vars.shared}}/lib/python${{vars.py-version}}/site-packages
+  pipeline:
+    - name: Test import of IPython kernel for Jupyter
+      uses: python/import
+      with:
+        imports: |
+          import ipykernel.kernelspec
+    - name: Test Tensorflow library
+      runs: |
+        cat <<"EOF" >test.py
+        import tensorflow as tf
+
+        # Check TensorFlow version
+        print("TensorFlow version:", tf.__version__)
+
+        # Check if TensorFlow can access the CPU
+        print("Is built with CUDA:", tf.test.is_built_with_cuda())
+        print("Available devices:")
+        for device in tf.config.list_physical_devices():
+            print(device)
+
+        # Perform a simple computation
+        a = tf.constant([1.0, 2.0, 3.0])
+        b = tf.constant([4.0, 5.0, 6.0])
+        c = tf.add(a, b)
+        print("Result of addition:", c.numpy())
+        EOF
+        python test.py
+    - name: Test Jupyter notebook run
+      uses: test/daemon-check-output
+      with:
+        start: |
+          ${{vars.shared}}/bin/jupyter notebook --notebook-dir=/tf --ip 0.0.0.0 --no-browser --allow-root
+        post: |
+          curl --fail --location --request GET --head --silent localhost:8888
+        expected_output: "is running at:"
+        timeout: 10
+
+update:
+  enabled: true
+  git: {}
+  schedule:
+    period: daily
+    reason: Upstream does not maintain tags or releases