diff --git a/.github/dependabot.yml b/.github/dependabot.yml
index f8923f663..24b1e6706 100644
--- a/.github/dependabot.yml
+++ b/.github/dependabot.yml
@@ -79,3 +79,11 @@ updates:
     package-ecosystem: pip
     schedule:
       interval: weekly
+  - directory: /preset
+    groups:
+      preset:
+        patterns:
+          - "*requirements.txt"
+    package-ecosystem: pip
+    schedule:
+      interval: weekly
diff --git a/docs/matrix.md b/docs/matrix.md
index 6f5c47d82..0af0cf4c9 100644
--- a/docs/matrix.md
+++ b/docs/matrix.md
@@ -23,13 +23,13 @@
             {{ read_csv('assets/max-pvc.csv') }}
 
 === "[Preset Containers](https://github.com/intel/ai-containers/blob/main/preset/README.md)"
-    === "Data Analytics"
+    === "[Data Analytics](https://hub.docker.com/r/intel/data-analytics)"
         {{ read_csv('assets/data_analytics.csv') }}
-    === "Classical ML"
+    === "[Classical ML](https://hub.docker.com/r/intel/classical-ml)"
         {{ read_csv('assets/classical_ml.csv') }}
-    === "Deep Learning"
+    === "[Deep Learning](https://hub.docker.com/r/intel/deep-learning)"
         {{ read_csv('assets/deep_learning.csv') }}
-    === "Inference Optimization"
+    === "[Inference Optimization](https://hub.docker.com/r/intel/inference-optimization)"
         {{ read_csv('assets/inference_optimization.csv') }}
 
 === "[Workflows](https://hub.docker.com/r/intel/ai-workflows)"
diff --git a/docs/scripts/hook.py b/docs/scripts/hook.py
index fffa2b00e..3b862bdfd 100644
--- a/docs/scripts/hook.py
+++ b/docs/scripts/hook.py
@@ -36,10 +36,10 @@ def create_support_matrix():
     compose_to_csv("classical-ml", None)
 
     # get_repo(models)
-    # compose_to_csv("preset/data-analytics", "data_analytics")
-    # compose_to_csv("preset/classical-ml", "classical_ml")
-    # compose_to_csv("preset/deep-learning", "deep_learning")
-    # compose_to_csv("preset/inference-optimization", "inference_optimization")
+    compose_to_csv("preset/data-analytics", "data_analytics")
+    compose_to_csv("preset/classical-ml", "classical_ml")
+    compose_to_csv("preset/deep-learning", "deep_learning")
+    compose_to_csv("preset/inference-optimization", "inference_optimization")
     compose_to_csv("workflows/charts/huggingface-llm", "genai")
 
 
diff --git a/preset/classical-ml/.actions.json b/preset/classical-ml/.actions.json
index aa899a13a..639f025c2 100644
--- a/preset/classical-ml/.actions.json
+++ b/preset/classical-ml/.actions.json
@@ -1,6 +1,5 @@
 {
     "PYTHON_VERSION": ["3.9", "3.10"],
     "experimental": [true],
-    "RELEASE": ["2024.1.0"],
     "runner_label": ["PVC"]
 }
diff --git a/preset/classical-ml/Dockerfile b/preset/classical-ml/Dockerfile
index 4f13c34f2..01820bcc8 100644
--- a/preset/classical-ml/Dockerfile
+++ b/preset/classical-ml/Dockerfile
@@ -67,10 +67,10 @@ RUN wget --progress=dot:giga --no-check-certificate https://github.com/conda-for
     conda config --add channels intel && \
     conda init --all && \
     conda install -y \
-        jupyterlab \
-        notebook \
-        jupyterhub \
-        jupyter-server-proxy \
+        'jupyterlab>=4.1.8' \
+        'notebook>=7.1.3' \
+        'jupyterhub>=4.1.5' \
+        'jupyter-server-proxy>=4.1.2' \
         'mako>=1.2.2' \
         'pyjwt>=2.4.0' \
         'cryptography>=42.0.5' \
@@ -99,15 +99,15 @@ RUN conda create -yn classical-ml -c ${INTEL_CHANNEL} -c conda-forge \
         scikit-learn-intelex==${SKLEARNEX_VERSION} \
         xgboost=${XGBOOST_VERSION} \
         modin-ray=${MODIN_VERSION} \
-        python-dotenv \
-        tqdm \
-        matplotlib-base \
-        dataset_librarian \
-        threadpoolctl \
-        ipython \
-        ipykernel \
-        kernda \
-        protobuf=4.24 \
+        'python-dotenv>=1.0.1' \
+        'tqdm>=4.66.2' \
+        'matplotlib-base>=3.4.3' \
+        'dataset_librarian>=1.0.4' \
+        'threadpoolctl>=3.3.0' \
+        'ipython>=8.18.1' \
+        'ipykernel>=6.29.3' \
+        'kernda>=0.3.0' \
+        'protobuf>=4.24' \
         'pillow>=10.2.0' \
         'tornado>=6.3.3' && \
     conda clean -y --all
@@ -116,7 +116,7 @@ RUN conda create -yn classical-ml -c ${INTEL_CHANNEL} -c conda-forge \
 
 # PyPI packages
 RUN conda run -n classical-ml python -m pip install --no-deps --no-cache-dir \
-    cloud-data-connector
+    'cloud-data-connector==1.0.3'
 
 
 ENV PYTHONSTARTUP=~/.patch_sklearn.py
diff --git a/preset/classical-ml/docker-compose.yaml b/preset/classical-ml/docker-compose.yaml
index e42e2cac4..a82fbd6d8 100644
--- a/preset/classical-ml/docker-compose.yaml
+++ b/preset/classical-ml/docker-compose.yaml
@@ -37,11 +37,59 @@ services:
         https_proxy: ${https_proxy}
         no_proxy: ''
       context: .
+      labels:
+        docs: classical_ml
+        org.opencontainers.image.title: "Intel® AI Tools Selector Preset Containers - Classical ML"
+        org.opencontainers.base.name: "ubuntu:22.04"
+        org.opencontainers.image.name: "intel/classical-ml"
+        org.opencontainers.image.version: 2024.1.0-py${PYTHON_VERSION:-3.10}
+        dependency.python: ${PYTHON_VERSION:-3.10}
+        dependency.python.pip: requirements.txt
+        dependency.apt.bzip2: true
+        dependency.apt.ca-certificates: true
+        dependency.apt.diffutils: true
+        dependency.apt.gcc: true
+        dependency.apt.git: true
+        dependency.apt.gzip: true
+        dependency.apt.make: true
+        dependency.apt.patch: true
+        dependency.apt.rsync: true
+        dependency.apt.unzip: true
+        dependency.apt.wget: true
+        dependency.apt.xz-utils: true
+        dependency.conda.jupyterlab: '>=4.1.8'
+        dependency.conda.notebook: '>=7.1.3'
+        dependency.conda.jupyterhub: '>=4.1.5'
+        dependency.conda.jupyter-server-proxy: '>=4.1.2'
+        dependency.conda.mako: '>=1.2.2'
+        dependency.conda.pyjwt: '>=2.4.0'
+        dependency.conda.cryptography: '>=42.0.5'
+        dependency.conda.nodejs: '>=20.12.2'
+        dependency.conda.aiohttp: '>=3.9.4'
+        dependency.conda.idna: '>=3.7'
+        dependency.conda.oauthlib: '>=3.2.2'
+        dependency.conda.dpnp: '>=0.14.0'
+        dependency.conda.numpy: '>=1.26.4'
+        dependency.conda.python: "=${PYTHON_VERSION:-3.10}"
+        dependency.conda.scikit-learn-intelex: '>=2024.2.0'
+        dependency.conda.xgboost: '>=2.0.3'
+        dependency.conda.modin-ray: '>=0.26.1'
+        dependency.conda.python-dotenv: '>=1.0.1'
+        dependency.conda.tqdm: '>=4.66.2'
+        dependency.conda.matplotlib-base: '>=3.4.3'
+        dependency.conda.dataset_librarian: '>=1.0.4'
+        dependency.conda.threadpoolctl: '>=3.3.0'
+        dependency.conda.ipython: '>=8.18.1'
+        dependency.conda.ipykernel: '>=6.29.3'
+        dependency.conda.kernda: '>=0.3.0'
+        dependency.conda.protobuf: '>=4.24'
+        dependency.conda.pillow: '>=10.2.0'
+        dependency.conda.tornado: '>=6.3.3'
       target: classical-ml-jupyter
     command: |
       bash -c "conda run -n classical-ml python -c 'import sklearn; import xgboost; print(\"SciKit:\", sklearn.__version__, \" XGBoost:\",xgboost.__version__)' && \
       conda run -n classical-ml python -c 'import modin.pandas as pd, modin.config as cfg; cfg.Engine.put(\"Ray\"); df = pd.DataFrame([1]);print(df+1)'"
-    image: ${REGISTRY}/${REPO}:b-${GITHUB_RUN_NUMBER:-0}-classical-ml-${IDP_VERSION:-2024.1.0}-py${PYTHON_VERSION:-3.10}
+    image: ${REGISTRY}/${REPO}:b-${GITHUB_RUN_NUMBER:-0}-classical-ml-2024.1.0-py${PYTHON_VERSION:-3.10}
     environment:
       http_proxy: ${http_proxy}
       https_proxy: ${https_proxy}
diff --git a/preset/classical-ml/requirements.txt b/preset/classical-ml/requirements.txt
new file mode 100644
index 000000000..d231202db
--- /dev/null
+++ b/preset/classical-ml/requirements.txt
@@ -0,0 +1 @@
+cloud-data-connector==1.0.3
diff --git a/preset/data-analytics/.actions.json b/preset/data-analytics/.actions.json
index aa899a13a..639f025c2 100644
--- a/preset/data-analytics/.actions.json
+++ b/preset/data-analytics/.actions.json
@@ -1,6 +1,5 @@
 {
     "PYTHON_VERSION": ["3.9", "3.10"],
     "experimental": [true],
-    "RELEASE": ["2024.1.0"],
     "runner_label": ["PVC"]
 }
diff --git a/preset/data-analytics/Dockerfile b/preset/data-analytics/Dockerfile
index 7fdb37495..c3a50d6c6 100644
--- a/preset/data-analytics/Dockerfile
+++ b/preset/data-analytics/Dockerfile
@@ -68,16 +68,16 @@ RUN wget --progress=dot:giga --no-check-certificate "https://github.com/conda-fo
     conda config --add channels intel && \
     conda init --all && \
     conda install -y \
-        jupyterlab \
-        notebook \
-        jupyterhub \
-        jupyter-server-proxy \
+        'jupyterlab>=4.1.8' \
+        'notebook>=7.1.3' \
+        'jupyterhub>=4.1.5' \
+        'jupyter-server-proxy>=4.1.2' \
         'mako>=1.2.2' \
         'pyjwt>=2.4.0' \
         'cryptography>=42.0.5' \
+        'nodejs>=20.12.2' \
         'idna>=3.7' \
         'tqdm>=4.66.2' \
-        'nodejs>=20.12.2' \
         && \
     jupyter labextension disable "@jupyterlab/apputils-extension:announcements" && \
     conda clean -y --all
@@ -95,22 +95,22 @@ RUN conda create -yn data-analytics -c "${INTEL_CHANNEL}" -c conda-forge \
         numpy="${NUMPY_VERSION}" \
         python="${PYTHON_VERSION}" \
         modin-ray="${MODIN_VERSION}" \
-        python-dotenv \
-        tqdm \
-        matplotlib-base \
-        dataset_librarian \
-        threadpoolctl \
-        ipython \
-        ipykernel \
-        kernda  \
-        protobuf=4.24 \
+        'python-dotenv>=1.0.1' \
+        'tqdm>=4.66.2' \
+        'matplotlib-base>=3.4.3' \
+        'dataset_librarian>=1.0.4' \
+        'threadpoolctl>=3.3.0' \
+        'ipython>=8.18.1' \
+        'ipykernel>=6.29.3' \
+        'kernda>=0.3.0'  \
+        'protobuf>=4.24.4' \
         'pillow>=10.2.0' \
         'idna>=3.7' \
         'tornado>=6.3.3' && \
     conda clean -y --all
 
 RUN conda run -n data-analytics python -m pip install --no-deps --no-cache-dir \
-    cloud-data-connector
+    'cloud-data-connector==1.0.3'
 
 FROM data-analytics-python as data-analytics-jupyter
 
diff --git a/preset/data-analytics/docker-compose.yaml b/preset/data-analytics/docker-compose.yaml
index d71b1d2b3..259caceb2 100644
--- a/preset/data-analytics/docker-compose.yaml
+++ b/preset/data-analytics/docker-compose.yaml
@@ -17,7 +17,7 @@
 
 version: '3'
 services:
-  classical-ml:
+  data-analytics:
     build:
       args:
         BASE_IMAGE: ${BASE_IMAGE:-ubuntu}
@@ -35,10 +35,54 @@ services:
         https_proxy: ${https_proxy}
         no_proxy: ''
       context: .
+      labels:
+        docs: data_analytics
+        org.opencontainers.image.title: "Intel® AI Tools Selector Preset Containers - Data Analytics"
+        org.opencontainers.base.name: "ubuntu:22.04"
+        org.opencontainers.image.name: "intel/data-analytics"
+        org.opencontainers.image.version: 2024.1.0-py${PYTHON_VERSION:-3.10}
+        dependency.python: ${PYTHON_VERSION:-3.10}
+        dependency.python.pip: requirements.txt
+        dependency.apt.bzip2: true
+        dependency.apt.ca-certificates: true
+        dependency.apt.diffutils: true
+        dependency.apt.gcc: true
+        dependency.apt.git: true
+        dependency.apt.gzip: true
+        dependency.apt.make: true
+        dependency.apt.patch: true
+        dependency.apt.rsync: true
+        dependency.apt.unzip: true
+        dependency.apt.wget: true
+        dependency.apt.xz-utils: true
+        dependency.conda.jupyterlab: '>=4.1.8'
+        dependency.conda.notebook: '>=7.1.3'
+        dependency.conda.jupyterhub: '>=4.1.5'
+        dependency.conda.jupyter-server-proxy: '>=4.1.2'
+        dependency.conda.mako: '>=1.2.2'
+        dependency.conda.pyjwt: '>=2.4.0'
+        dependency.conda.cryptography: '>=42.0.5'
+        dependency.conda.nodejs: '>=20.12.2'
+        dependency.conda.idna: '>=3.7'
+        dependency.conda.tqdm: '>=4.66.2'
+        dependency.conda.dpnp: '>=0.14.0'
+        dependency.conda.numpy: '>=1.26.4'
+        dependency.conda.python: "=${PYTHON_VERSION:-3.10}"
+        dependency.conda.modin-ray: '>=0.26.1'
+        dependency.conda.python-dotenv: '>=1.0.1'
+        dependency.conda.matplotlib-base: '>=3.4.3'
+        dependency.conda.dataset_librarian: '>=1.0.4'
+        dependency.conda.threadpoolctl: '>=3.3.0'
+        dependency.conda.ipython: '>=8.18.1'
+        dependency.conda.ipykernel: '>=6.29.3'
+        dependency.conda.kernda: '>=0.3.0'
+        dependency.conda.protobuf: '>=4.24.4'
+        dependency.conda.pillow: '>=10.2.0'
+        dependency.conda.tornado: '>=6.3.3'
       target: data-analytics-jupyter
     command: >
         bash -c "conda run -n data-analytics python -c 'import modin.pandas as pd, modin.config as cfg; cfg.Engine.put(\"Ray\"); df = pd.DataFrame([1]);print(df+1)'"
-    image: ${REGISTRY}/${REPO}:b-${GITHUB_RUN_NUMBER:-0}-data-analytics-${IDP_VERSION:-2024.1.0}-py${PYTHON_VERSION:-3.10}
+    image: ${REGISTRY}/${REPO}:b-${GITHUB_RUN_NUMBER:-0}-data-analytics-2024.1.0-py${PYTHON_VERSION:-3.10}
     environment:
       http_proxy: ${http_proxy}
       https_proxy: ${https_proxy}
diff --git a/preset/data-analytics/requirements.txt b/preset/data-analytics/requirements.txt
new file mode 100644
index 000000000..d231202db
--- /dev/null
+++ b/preset/data-analytics/requirements.txt
@@ -0,0 +1 @@
+cloud-data-connector==1.0.3
diff --git a/preset/deep-learning/.actions.json b/preset/deep-learning/.actions.json
index aa899a13a..639f025c2 100644
--- a/preset/deep-learning/.actions.json
+++ b/preset/deep-learning/.actions.json
@@ -1,6 +1,5 @@
 {
     "PYTHON_VERSION": ["3.9", "3.10"],
     "experimental": [true],
-    "RELEASE": ["2024.1.0"],
     "runner_label": ["PVC"]
 }
diff --git a/preset/deep-learning/Dockerfile b/preset/deep-learning/Dockerfile
index ef62392bf..c4f5e7f6c 100644
--- a/preset/deep-learning/Dockerfile
+++ b/preset/deep-learning/Dockerfile
@@ -76,13 +76,35 @@ RUN apt-get update && \
 
 RUN apt-get update && \
     apt-get install -y --no-install-recommends --fix-missing \
-    intel-media-va-driver-non-free libmfx1 libmfxgen1 libvpl2 \
-    libegl-mesa0 libegl1-mesa libegl1-mesa-dev libgbm1 libgl1-mesa-dev libgl1-mesa-dri \
-    libglapi-mesa libgles2-mesa-dev libglx-mesa0 libigdgmm12 libxatracker2 mesa-va-drivers \
-    mesa-vdpau-drivers mesa-vulkan-drivers va-driver-all vainfo hwinfo clinfo
+    intel-media-va-driver-non-free \
+    libmfx1 \
+    libmfxgen1 \
+    libvpl2 \
+    libegl-mesa0 \
+    libegl1-mesa \
+    libegl1-mesa-dev \
+    libgbm1 \
+    libgl1-mesa-dev \
+    libgl1-mesa-dri \
+    libglapi-mesa \
+    libgles2-mesa-dev \
+    libglx-mesa0 \
+    libigdgmm12 \
+    libxatracker2 \
+    mesa-va-drivers \
+    mesa-vdpau-drivers \
+    mesa-vulkan-drivers \
+    va-driver-all \
+    vainfo \
+    hwinfo \
+    clinfo
 
 RUN apt-get install -y --no-install-recommends --fix-missing \
-    libigc-dev intel-igc-cm libigdfcl-dev libigfxcmrt-dev level-zero-dev="${LEVEL_ZERO_DEV_VER}" && \
+    libigc-dev \
+    intel-igc-cm \
+    libigdfcl-dev \
+    libigfxcmrt-dev \
+    level-zero-dev="${LEVEL_ZERO_DEV_VER}" && \
     rm -rf /var/lib/apt/lists/*
 
 RUN rm /etc/apt/sources.list.d/*list
@@ -118,10 +140,10 @@ RUN wget --progress=dot:giga --no-check-certificate "https://github.com/conda-fo
     conda config --add channels intel && \
     conda init --all && \
     conda install -c conda-forge \
-        jupyterlab \
-        notebook \
-        jupyterhub \
-        jupyter-server-proxy \
+        'jupyterlab>=4.1.8' \
+        'notebook>=7.1.3' \
+        'jupyterhub>=4.1.5' \
+        'jupyter-server-proxy>=4.1.2' \
         'mako>=1.2.2' \
         'pyjwt>=2.4.0' \
         'cryptography>=42.0.5' \
@@ -160,36 +182,36 @@ RUN conda create -yn pytorch-cpu -c intel/label/oneapi -c "${INTEL_CHANNEL}" -c
         intel-extension-for-pytorch="${IPEX_CPU_VERSION}" \
         torchvision="${TORCHVISION_CPU_VERSION}" \
         torchaudio="${TORCHAUDIO_CPU_VERSION}" \
-        matplotlib-base \
-        ipykernel \
-        kernda  \
+        'matplotlib-base>=3.4.3' \
+        'ipykernel>=6.29.3' \
+        'kernda>=0.3.0'  \
         'pillow>=10.2.0' \
         'aiohttp>=3.9.0' \
         'tornado>=6.3.3' \
         'jinja2>=3.1.3' \
         'idna>=3.7' \
-        onnx \
+        'onnx>=1.15.0' \
         && \
     conda clean -y --all
 
 # PyPI packages
 RUN conda run -n pytorch-cpu pip install --no-deps --no-cache-dir --ignore-installed \
-        ninja \
-        python-dotenv \
+        'ninja>=1.11.1.1' \
+        'python-dotenv>=1.0.1' \
         'tqdm>=4.66.2' \
-        cloud-data-connector \
-        dataset-librarian && \
+        'cloud-data-connector>=1.0.3' \
+        'dataset-librarian>=1.0.4' && \
     conda run -n pytorch-cpu pip install --no-cache-dir --ignore-installed \
-        transformers \
-        datasets \
-        evaluate && \
-    conda run -n pytorch-cpu pip install  --no-cache-dir -U accelerate && \
+        'transformers>=4.40.2' \
+        'datasets>=2.19.1' \
+        'evaluate>=0.4.2' && \
+    conda run -n pytorch-cpu pip install  --no-cache-dir -U 'accelerate>=0.30.0' && \
     conda run -n pytorch-cpu pip install  --no-cache-dir "git+https://github.com/huggingface/optimum-intel.git" && \
     conda clean -y --all
 
 
 
-RUN conda run -n pytorch-cpu conda install protobuf=4.24 -c conda-forge --override --force-reinstall -y
+RUN conda run -n pytorch-cpu conda install 'protobuf=4.24' -c conda-forge --override --force-reinstall -y
 
 # PyTorch Installation
 ARG IDP_VERSION
@@ -219,41 +241,41 @@ RUN conda create -yn pytorch-gpu -c intel/label/oneapi -c "${INTEL_CHANNEL}" -c
         intel-extension-for-pytorch="${IPEX_GPU_VERSION}" \
         torchvision="${TORCHVISION_GPU_VERSION}" \
         torchaudio="${TORCHAUDIO_GPU_VERSION}" \
-        tensorboardx \
-        matplotlib-base \
-        pandas \
-        ipython \
-        ipykernel \
-        kernda  \
+        'tensorboardx>=2.6.2.2' \
+        'matplotlib-base>=3.4.3' \
+        'pandas>=2.2.2' \
+        'ipython>=8.18.1' \
+        'ipykernel>=6.29.3' \
+        'kernda>=0.3.0'  \
         'pillow>=10.2.0' \
         'aiohttp>=3.9.0' \
         'tornado>=6.3.3' \
         'jinja2>=3.1.3' \
         'idna>=3.7' \
-        onnx \
-        packaging=23.2 \
-        setuptools=69.1.0 \
+        'onnx>=1.15.0' \
+        'packaging=23.2' \
+        'setuptools=69.1.0' \
         && \
     conda clean -y --all
 
 # PyPI packages
 RUN conda run -n pytorch-gpu pip install --no-deps --no-cache-dir --ignore-installed \
-        ninja \
-        python-dotenv \
+        'ninja>=1.11.1.1' \
+        'python-dotenv>=1.0.1' \
         'tqdm>=4.66.2' \
-        cloud-data-connector \
-        dataset-librarian && \
+        'cloud-data-connector>=1.0.3' \
+        'dataset-librarian>=1.0.4' && \
     conda run -n pytorch-gpu pip install --no-cache-dir --ignore-installed \
-        transformers \
-        datasets \
-        evaluate && \
-    conda run -n pytorch-gpu pip install --no-cache-dir -U accelerate && \
+        'transformers>=4.40.2' \
+        'datasets>=2.19.1' \
+        'evaluate>=0.4.2' && \
+    conda run -n pytorch-gpu pip install --no-cache-dir -U 'accelerate>=0.30.0' && \
     conda run -n pytorch-gpu pip install --no-cache-dir "git+https://github.com/huggingface/optimum-intel.git" && \
     conda clean -y --all
 
 
 
-RUN conda run -n pytorch-gpu conda install protobuf=4.24 -c conda-forge --override --force-reinstall -y
+RUN conda run -n pytorch-gpu conda install 'protobuf=4.24' -c conda-forge --override --force-reinstall -y
 
 
 # TensorFlow Installation
@@ -283,11 +305,11 @@ RUN conda create -yn tensorflow-cpu -c "${INTEL_CHANNEL}" -c conda-forge \
         intel-optimization-for-horovod="${INTEL_HOROVOD}" \
         tensorflow="${TF_VERSION}" \
         impi-devel="${IMPI_VERSION}" \
-        matplotlib-base \
-        dataset_librarian \
-        ipython \
-        ipykernel \
-        kernda  \
+        'matplotlib-base>=3.4.3' \
+        'dataset_librarian>=1.0.4' \
+        'ipython>=8.18.1' \
+        'ipykernel>=6.29.3' \
+        'kernda>=0.3.0'  \
         'pillow>=10.2.0' \
         'cryptography>=42.0.4' \
         'werkzeug>=2.2.3' \
@@ -296,19 +318,19 @@ RUN conda create -yn tensorflow-cpu -c "${INTEL_CHANNEL}" -c conda-forge \
         'pyjwt>=2.8.0' \
         'oauthlib>=3.2.2' \
         'idna>=3.7' \
-        onnx \
+        'onnx>=1.14.1' \
         && \
     conda clean -y --all
 
 # PyPI packages
 RUN conda run -n tensorflow-cpu pip install --no-cache-dir --ignore-installed \
-        py-cpuinfo \
-        requests \
-        cryptography
+        'py-cpuinfo>=9.0.0' \
+        'requests>=2.31.0' \
+        'cryptography>=42.0.7'
 RUN conda run -n tensorflow-cpu pip install --no-deps --no-cache-dir --ignore-installed \
-        tensorflow_hub \
+        'tensorflow-hub>=0.16.1' \
         'tqdm>=4.66.2' \
-        cloud-data-connector && \
+        'cloud-data-connector>=1.0.3' && \
     conda clean -y --all
 
 # Tensorflow Env - conda packages
@@ -322,11 +344,11 @@ RUN conda create -yn tensorflow-gpu -c "${INTEL_CHANNEL}" -c conda-forge \
         intel-optimization-for-horovod="${INTEL_HOROVOD}" \
         tensorflow="${TF_VERSION}" \
         impi-devel="${IMPI_VERSION}" \
-        matplotlib-base \
-        dataset_librarian \
-        ipython \
-        ipykernel \
-        kernda  \
+        'matplotlib-base>=3.4.3' \
+        'dataset_librarian>=1.0.4' \
+        'ipython>=8.18.1' \
+        'ipykernel>=6.29.3' \
+        'kernda>=0.3.0' \
         'pillow>=10.2.0' \
         'cryptography>=42.0.4' \
         'werkzeug>=2.2.3' \
@@ -335,21 +357,21 @@ RUN conda create -yn tensorflow-gpu -c "${INTEL_CHANNEL}" -c conda-forge \
         'pyjwt>=2.8.0' \
         'oauthlib>=3.2.2' \
         'idna>=3.7' \
-        onnx \
-        packaging=23.2 \
-        setuptools=69.1.0 \
+        'onnx>=1.14.1' \
+        'packaging=23.2' \
+        'setuptools=69.1.0' \
         && \
     conda clean -y --all
 
 # PyPI packages
 RUN conda run -n tensorflow-gpu pip install --no-cache-dir --ignore-installed \
-        py-cpuinfo \
-        requests \
-        cryptography
+        'py-cpuinfo>=9.0.0' \
+        'requests>=2.31.0' \
+        'cryptography>=42.0.7'
 RUN conda run -n tensorflow-gpu pip install --no-deps --no-cache-dir --ignore-installed \
-        tensorflow_hub \
+        'tensorflow-hub>=0.16.1' \
         'tqdm>=4.66.2' \
-        cloud-data-connector  && \
+        'cloud-data-connector>=1.0.3' && \
     conda clean -y --all
 
 FROM deep-learning-python as deep-learning-jupyter
@@ -408,11 +430,11 @@ USER dev
 
 RUN conda install -n pytorch-cpu -c intel/label/oneapi -c "${INTEL_CHANNEL}" -c conda-forge \
         deepspeed="${DEEPSPEED_VERSION}" \
-        tensorboardx
+        'tensorboardx>=2.6.2.2'
 
 RUN conda install -n pytorch-gpu -c intel/label/oneapi -c "${INTEL_CHANNEL}" -c conda-forge \
         deepspeed="${DEEPSPEED_VERSION}" \
-        tensorboardx
+        'tensorboardx>=2.6.2.2'
 
 COPY --chown=dev notebooks /home/dev/jupyter
 COPY --chown=dev tests /home/dev/sample-tests
diff --git a/preset/deep-learning/docker-compose.yaml b/preset/deep-learning/docker-compose.yaml
index 26180671f..12de056fe 100644
--- a/preset/deep-learning/docker-compose.yaml
+++ b/preset/deep-learning/docker-compose.yaml
@@ -54,6 +54,8 @@ services:
         https_proxy: ${https_proxy}
         no_proxy: ''
       context: .
+      labels:
+        docs: false
       target: deep-learning-jupyter
     command: |
       bash -c "conda run -n pytorch-cpu python -c 'import torch;print(torch.__version__);import intel_extension_for_pytorch as ipex;print(ipex.__version__);' && \
@@ -67,7 +69,124 @@ services:
       - /dev/dri/by-path:/dev/dri/by-path
   deep-learning:
     build:
+      labels:
+        docs: deep_learning
+        org.opencontainers.image.title: "Intel® AI Tools Selector Preset Containers - Deep Learning"
+        org.opencontainers.base.name: "ubuntu:22.04"
+        org.opencontainers.image.name: "intel/deep-learning"
+        org.opencontainers.image.version: 2024.1.0-py${PYTHON_VERSION:-3.10}
+        dependency.python: ${PYTHON_VERSION:-3.10}
+        dependency.python.pip: requirements.txt
+        dependency.apt.apt-utils: true
+        dependency.apt.build-essential: true
+        dependency.apt.bzip2: true
+        dependency.apt.ca-certificates: true
+        dependency.apt.clinfo: true
+        dependency.apt.cmake: true
+        dependency.apt.diffutils: true
+        dependency.apt.g++: true
+        dependency.apt.gcc: true
+        dependency.apt.git: true
+        dependency.apt.gnupg2: true
+        dependency.apt.gpg-agent: true
+        dependency.apt.gzip: true
+        dependency.apt.hwinfo: true
+        dependency.apt.intel-igc-cm: true
+        dependency.apt.intel-level-zero-gpu: '=1.3.27642.40-803~22.04'
+        dependency.apt.intel-media-va-driver-non-free: true
+        dependency.apt.intel-opencl-icd: '=23.43.27642.40-803~22.04'
+        dependency.apt.level-zero: '=1.14.0-744~22.04'
+        dependency.apt.level-zero-dev: '=1.14.0-744~22.04'
+        dependency.apt.libegl1-mesa: true
+        dependency.apt.libegl1-mesa-dev: true
+        dependency.apt.libegl-mesa0: true
+        dependency.apt.libgbm1: true
+        dependency.apt.libgl1-mesa-dev: true
+        dependency.apt.libgl1-mesa-dri: true
+        dependency.apt.libglapi-mesa: true
+        dependency.apt.libgles2-mesa-dev: true
+        dependency.apt.libglx-mesa0: true
+        dependency.apt.libigc-dev: true
+        dependency.apt.libigdfcl-dev: true
+        dependency.apt.libigdgmm12: true
+        dependency.apt.libigfxcmrt-dev: true
+        dependency.apt.libmfx1: true
+        dependency.apt.libmfxgen1: true
+        dependency.apt.libopenmpi-dev: true
+        dependency.apt.libvpl2: true
+        dependency.apt.libxatracker2: true
+        dependency.apt.make: true
+        dependency.apt.mesa-va-drivers: true
+        dependency.apt.mesa-vdpau-drivers: true
+        dependency.apt.mesa-vulkan-drivers: true
+        dependency.apt.numactl: true
+        dependency.apt.openmpi-bin: true
+        dependency.apt.openmpi-common: true
+        dependency.apt.openssh-client: true
+        dependency.apt.openssh-server: true
+        dependency.apt.patch: true
+        dependency.apt.rsync: true
+        dependency.apt.sudo: true
+        dependency.apt.unzip: true
+        dependency.apt.va-driver-all: true
+        dependency.apt.vainfo: true
+        dependency.apt.wget: true
+        dependency.apt.xz-utils: true
+        dependency.conda.jupyterlab: '>=4.1.8'
+        dependency.conda.aiohttp: '>=3.9.0'
+        dependency.conda.cryptography: '>=42.0.4'
+        dependency.conda.dataset_librarian: '>=1.0.4'
+        dependency.conda.deepspeed: '=0.14.0'
+        dependency.conda.dpcpp_impl_linux-64: '=2024.1.0'
+        dependency.conda.dpcpp-cpp-rt: '=2024.1.0'
+        dependency.conda.dpnp: '=0.14.0'
+        dependency.conda.idna: '>=3.7'
+        dependency.conda.impi-devel: '=2021.12'
+        dependency.conda.intel-extension-for-pytorch_cpu: '=2.2.0=*cpu*'
+        dependency.conda.intel-extension-for-pytorch_gpu: '=2.1.20=*xpu*'
+        dependency.conda.intel-extension-for-tensorflow_cpu: '=2.15=*cpu*'
+        dependency.conda.intel-extension-for-tensorflow_gpu: '=2.15=*xpu*'
+        dependency.conda.intel-openmp: '=2024.1.0'
+        dependency.conda.intel-optimization-for-horovod: '=0.28.1.4'
+        dependency.conda.ipykernel: '>=6.29.3'
+        dependency.conda.ipython: '>=8.18.1'
+        dependency.conda.jinja2: '>=3.1.3'
+        dependency.conda.jupyterhub: '>=4.1.5'
+        dependency.conda.jupyter-server-proxy: '>=4.1.2'
+        dependency.conda.kernda: '>=0.3.0'
+        dependency.conda.mako: '>=1.2.2'
+        dependency.conda.matplotlib-base: '>=3.4.3'
+        dependency.conda.mkl-dpcpp: '2024.1.0'
+        dependency.conda.nodejs: '>=20.12.2'
+        dependency.conda.notebook: '>=7.1.3'
+        dependency.conda.numpy: '=1.26.4'
+        dependency.conda.oauthlib: '>=3.2.2'
+        dependency.conda.oneccl_bind_pt_cpu: '=2.2.0=*cpu*'
+        dependency.conda.oneccl_bind_pt_gpu: '=2.1.200=*xpu*'
+        dependency.conda.onnx: '>=1.14.1'
+        dependency.conda.packaging: '=23.2'
+        dependency.conda.pandas: '>=2.2.2'
+        dependency.conda.pillow: '>=10.2.0'
+        dependency.conda.protobuf: '=4.24'
+        dependency.conda.pyjwt: '>=2.4.0'
+        dependency.conda.python: "=${PYTHON_VERSION:-3.10}"
+        dependency.conda.pytorch_cpu: '=2.2.0=*cpu*'
+        dependency.conda.pytorch_gpu: '=2.1.0=*xpu*'
+        dependency.conda.setuptools: '=69.1.0'
+        dependency.conda.tensorboardx: '>=2.6.2.2'
+        dependency.conda.tensorflow: '=2.15'
+        dependency.conda.torchaudio_cpu: '=2.2.0=*cpu*'
+        dependency.conda.torchaudio_gpu: '=2.1.0=*xpu*'
+        dependency.conda.torchvision_cpu: '=0.17=*cpu*'
+        dependency.conda.torchvision_gpu: '=0.16.0=*xpu*'
+        dependency.conda.tornado: '>=6.3.3'
+        dependency.conda.tqdm: '>=4.66.2'
+        dependency.conda.werkzeug: '>=2.2.3'
       target: distributed-deep-learning
+    depends_on:
+      - dl-base
+    extends: dl-base
+    image: ${REGISTRY}/${REPO}:b-${GITHUB_RUN_NUMBER:-0}-deep-learning-2024.1.0-py${PYTHON_VERSION:-3.10}
     command: |
       bash -c "conda run -n pytorch-cpu python -c 'import torch;print(torch.__version__);import intel_extension_for_pytorch as ipex;print(ipex.__version__);' && \
       conda run -n pytorch-cpu bash -c 'mpirun --version' && \
@@ -79,7 +198,3 @@ services:
       conda run -n tensorflow-gpu python -c 'from tensorflow.python.client import device_lib; print(device_lib.list_local_devices())' && \
       conda run -n tensorflow-gpu bash -c 'horovodrun --check-build && mpirun --version' && \
       conda run -n tensorflow-gpu python -c 'import horovod.tensorflow as hvd;hvd.init();import horovod.tensorflow'"
-    depends_on:
-      - dl-base
-    extends: dl-base
-    image: ${REGISTRY}/${REPO}:b-${GITHUB_RUN_NUMBER:-0}-deep-learning-${IDP_VERSION:-2024.1.0}-py${PYTHON_VERSION:-3.10}
diff --git a/preset/deep-learning/requirements.txt b/preset/deep-learning/requirements.txt
new file mode 100644
index 000000000..4122126b5
--- /dev/null
+++ b/preset/deep-learning/requirements.txt
@@ -0,0 +1,14 @@
+accelerate>=0.30.0
+cloud-data-connector>=1.0.3
+cryptography>=42.0.7
+dataset-librarian>=1.0.4
+datasets>=2.19.1
+evaluate>=0.4.2
+git+https://github.com/huggingface/optimum-intel.git
+ninja>=1.11.1.1
+py-cpuinfo>=9.0.0
+python-dotenv>=1.0.1
+requests>=2.31.0
+tensorflow-hub>=0.16.1
+tqdm>=4.66.2
+transformers>=4.40.2
diff --git a/preset/inference-optimization/.actions.json b/preset/inference-optimization/.actions.json
index aa899a13a..639f025c2 100644
--- a/preset/inference-optimization/.actions.json
+++ b/preset/inference-optimization/.actions.json
@@ -1,6 +1,5 @@
 {
     "PYTHON_VERSION": ["3.9", "3.10"],
     "experimental": [true],
-    "RELEASE": ["2024.1.0"],
     "runner_label": ["PVC"]
 }
diff --git a/preset/inference-optimization/Dockerfile b/preset/inference-optimization/Dockerfile
index 0d982ab2b..6689b4370 100644
--- a/preset/inference-optimization/Dockerfile
+++ b/preset/inference-optimization/Dockerfile
@@ -34,13 +34,13 @@ RUN conda install -yn tensorflow-gpu -c "${INTEL_CHANNEL}" -c conda-forge \
         neural-compressor="${NEURAL_COMPRESSOR_VERSION}"
 
 RUN conda run -n tensorflow-cpu python -m pip install --no-deps --no-cache-dir \
-        tf2onnx \
-        onnxruntime && \
+        'tf2onnx>=1.16.1' \
+        'onnxruntime>=1.17.3' && \
     conda clean -y --all
 
 RUN conda run -n tensorflow-gpu python -m pip install --no-deps --no-cache-dir \
-        tf2onnx \
-        onnxruntime && \
+        'tf2onnx>=1.16.1' \
+        'onnxruntime>=1.17.3' && \
     conda clean -y --all
 
 COPY --chown=dev notebooks /home/dev/jupyter
diff --git a/preset/inference-optimization/docker-compose.yaml b/preset/inference-optimization/docker-compose.yaml
index 2fbe59f0e..0d2760b57 100644
--- a/preset/inference-optimization/docker-compose.yaml
+++ b/preset/inference-optimization/docker-compose.yaml
@@ -22,6 +22,7 @@ services:
       args:
         BASE_IMAGE: ${BASE_IMAGE:-ubuntu}
         BASE_TAG: ${BASE_TAG:-22.04}
+        DEEPSPEED_VERSION: ${DEEPSPEED_VERSION:-0.14.0}
         DEVICE: ${DEVICE:-flex}
         DPNP_VERSION: ${NUMBA_DPEX_VERSION:-0.14.0}
         HOROVOD_VERSION: ${HOROVOD_VERSION:-0.28.1.4}
@@ -54,6 +55,8 @@ services:
         https_proxy: ${https_proxy}
         no_proxy: ''
       context: ../deep-learning
+      labels:
+        docs: false
       target: deep-learning-jupyter
     environment:
       http_proxy: ${http_proxy}
@@ -72,11 +75,125 @@ services:
       args:
         COMPOSE_PROJECT_NAME: ${COMPOSE_PROJECT_NAME:-preset}
       context: .
+      labels:
+        docs: inference_optimization
+        org.opencontainers.image.title: "Intel® AI Tools Selector Preset Containers - Inference Optimization"
+        org.opencontainers.base.name: "intel/deep-learning"
+        org.opencontainers.image.name: "intel/inference-optimization"
+        org.opencontainers.image.version: 2024.1.0-py${PYTHON_VERSION:-3.10}
+        dependency.python: ${PYTHON_VERSION:-3.10}
+        dependency.python.pip: requirements.txt
+        dependency.apt.apt-utils: true
+        dependency.apt.build-essential: true
+        dependency.apt.bzip2: true
+        dependency.apt.ca-certificates: true
+        dependency.apt.clinfo: true
+        dependency.apt.cmake: true
+        dependency.apt.diffutils: true
+        dependency.apt.g++: true
+        dependency.apt.gcc: true
+        dependency.apt.git: true
+        dependency.apt.gnupg2: true
+        dependency.apt.gpg-agent: true
+        dependency.apt.gzip: true
+        dependency.apt.hwinfo: true
+        dependency.apt.intel-igc-cm: true
+        dependency.apt.intel-level-zero-gpu: '1.3.27642.40-803~22.04'
+        dependency.apt.intel-media-va-driver-non-free: true
+        dependency.apt.intel-opencl-icd: '23.43.27642.40-803~22.04'
+        dependency.apt.level-zero: '1.14.0-744~22.04'
+        dependency.apt.level-zero-dev: '1.14.0-744~22.04'
+        dependency.apt.libegl1-mesa: true
+        dependency.apt.libegl1-mesa-dev: true
+        dependency.apt.libegl-mesa0: true
+        dependency.apt.libgbm1: true
+        dependency.apt.libgl1-mesa-dev: true
+        dependency.apt.libgl1-mesa-dri: true
+        dependency.apt.libglapi-mesa: true
+        dependency.apt.libgles2-mesa-dev: true
+        dependency.apt.libglx-mesa0: true
+        dependency.apt.libigc-dev: true
+        dependency.apt.libigdfcl-dev: true
+        dependency.apt.libigdgmm12: true
+        dependency.apt.libigfxcmrt-dev: true
+        dependency.apt.libmfx1: true
+        dependency.apt.libmfxgen1: true
+        dependency.apt.libopenmpi-dev: true
+        dependency.apt.libvpl2: true
+        dependency.apt.libxatracker2: true
+        dependency.apt.make: true
+        dependency.apt.mesa-va-drivers: true
+        dependency.apt.mesa-vdpau-drivers: true
+        dependency.apt.mesa-vulkan-drivers: true
+        dependency.apt.numactl: true
+        dependency.apt.openmpi-bin: true
+        dependency.apt.openmpi-common: true
+        dependency.apt.openssh-client: true
+        dependency.apt.openssh-server: true
+        dependency.apt.patch: true
+        dependency.apt.rsync: true
+        dependency.apt.sudo: true
+        dependency.apt.unzip: true
+        dependency.apt.va-driver-all: true
+        dependency.apt.vainfo: true
+        dependency.apt.wget: true
+        dependency.apt.xz-utils: true
+        dependency.conda.jupyterlab: '>=4.1.8'
+        dependency.conda.aiohttp: '>=3.9.0'
+        dependency.conda.cryptography: '>=42.0.4'
+        dependency.conda.dataset_librarian: '>=1.0.4'
+        dependency.conda.deepspeed: '>=0.14.0'
+        dependency.conda.dpcpp_impl_linux-64: '>=2024.1.'
+        dependency.conda.dpcpp-cpp-rt: '>=2024.1.'
+        dependency.conda.dpnp: '>=0.14.0'
+        dependency.conda.idna: '>=3.7'
+        dependency.conda.impi-devel: '>=2021.12'
+        dependency.conda.intel-extension-for-pytorch_cpu: '>=2.2.0=*cpu*'
+        dependency.conda.intel-extension-for-pytorch_gpu: '>=2.1.20=*xpu*'
+        dependency.conda.intel-extension-for-tensorflow_cpu: '>=2.15=*cpu*'
+        dependency.conda.intel-extension-for-tensorflow_gpu: '>=2.15=*xpu*'
+        dependency.conda.intel-openmp: '>=2024.1.0'
+        dependency.conda.intel-optimization-for-horovod: '>=0.28.1.4'
+        dependency.conda.ipykernel: '>=6.29.3'
+        dependency.conda.ipython: '>=8.18.1'
+        dependency.conda.jinja2: '>=3.1.3'
+        dependency.conda.jupyterhub: '>=4.1.5'
+        dependency.conda.jupyter-server-proxy: '>=4.1.2'
+        dependency.conda.kernda: '>=0.3.0'
+        dependency.conda.mako: '>=1.2.2'
+        dependency.conda.matplotlib-base: '>=3.4.3'
+        dependency.conda.mkl-dpcpp: '>=2024.1.0'
+        dependency.conda.neural-compressor: '>=2.4.1'
+        dependency.conda.nodejs: '>=20.12.2'
+        dependency.conda.notebook: '>=7.1.3'
+        dependency.conda.numpy: '>=1.26.4'
+        dependency.conda.oauthlib: '>=3.2.2'
+        dependency.conda.oneccl_bind_pt_cpu: '>=2.2.0=*cpu*'
+        dependency.conda.oneccl_bind_pt_gpu: '>=2.1.200=*xpu*'
+        dependency.conda.onnx: '>=1.14.1'
+        dependency.conda.packaging: '>=23.2'
+        dependency.conda.pandas: '>=2.2.2'
+        dependency.conda.pillow: '>=10.2.0'
+        dependency.conda.protobuf: '>=4.24'
+        dependency.conda.pyjwt: '>=2.4.0'
+        dependency.conda.python: "=${PYTHON_VERSION:-3.10}"
+        dependency.conda.pytorch_cpu: '>=2.2.0=*cpu*'
+        dependency.conda.pytorch_gpu: '>=2.1.0=*xpu*'
+        dependency.conda.setuptools: '>=69.1.0'
+        dependency.conda.tensorboardx: '>=2.6.2.2'
+        dependency.conda.tensorflow: '>=2.15'
+        dependency.conda.torchaudio_cpu: '>=2.2.0=*cpu*'
+        dependency.conda.torchaudio_gpu: '>=2.1.0=*xpu*'
+        dependency.conda.torchvision_cpu: '>=0.17=*cpu*'
+        dependency.conda.torchvision_gpu: '>=0.16.0=*xpu*'
+        dependency.conda.tornado: '>=6.3.3'
+        dependency.conda.tqdm: '>=4.66.2'
+        dependency.conda.werkzeug: '>=2.2.3'
       target: inference-optimization
     depends_on:
       - dl-base
     extends: dl-base
-    image: ${REGISTRY}/${REPO}:b-${GITHUB_RUN_NUMBER:-0}-inference-optimization-${IDP_VERSION:-2024.1.0}-py${PYTHON_VERSION:-3.10}
+    image: ${REGISTRY}/${REPO}:b-${GITHUB_RUN_NUMBER:-0}-inference-optimization-2024.1.0-py${PYTHON_VERSION:-3.10}
     command: |
       bash -c "conda run -n pytorch-cpu python -c 'import intel_extension_for_pytorch as ipex;print(ipex.__version__);' && \
       conda run -n pytorch-cpu python -c 'import neural_compressor;print(\"Neural Compressor Version:\", neural_compressor.__version__)' && \
diff --git a/preset/inference-optimization/requirements.txt b/preset/inference-optimization/requirements.txt
new file mode 100644
index 000000000..15dad7740
--- /dev/null
+++ b/preset/inference-optimization/requirements.txt
@@ -0,0 +1,16 @@
+accelerate>=0.30.0
+cloud-data-connector>=1.0.3
+cryptography>=42.0.7
+dataset-librarian>=1.0.4
+datasets>=2.19.1
+evaluate>=0.4.2
+git+https://github.com/huggingface/optimum-intel.git
+ninja>=1.11.1.1
+onnxruntime>=1.17.3
+py-cpuinfo>=9.0.0
+python-dotenv>=1.0.1
+requests>=2.31.0
+tensorflow-hub>=0.16.1
+tf2onnx>==1.16.1
+tqdm>=4.66.2
+transformers>=4.40.2