diff --git a/pytorch/training/buildspec-2-7-sm.yml b/pytorch/training/buildspec-2-7-sm.yml
index e06db1978b35..8c04bf6cf7ee 100644
--- a/pytorch/training/buildspec-2-7-sm.yml
+++ b/pytorch/training/buildspec-2-7-sm.yml
@@ -50,7 +50,7 @@ images:
     tag_python_version: &TAG_PYTHON_VERSION py312
     os_version: &OS_VERSION ubuntu22.04
     tag: !join [ *VERSION, "-", *DEVICE_TYPE, "-", *TAG_PYTHON_VERSION, "-", *OS_VERSION, "-sagemaker" ]
-    latest_release_tag: !join [ *VERSION, "-", *DEVICE_TYPE, "-", *TAG_PYTHON_VERSION, "-", *OS_VERSION, "-sagemaker" ]
+    # latest_release_tag: !join [ *VERSION, "-", *DEVICE_TYPE, "-", *TAG_PYTHON_VERSION, "-", *OS_VERSION, "-sagemaker" ]
     # skip_build: "False"
     docker_file: !join [ docker/, *SHORT_VERSION, /, *DOCKER_PYTHON_VERSION, /Dockerfile., *DEVICE_TYPE ]
     target: sagemaker
@@ -66,7 +66,7 @@ images:
     cuda_version: &CUDA_VERSION cu128
     os_version: &OS_VERSION ubuntu22.04
     tag: !join [ *VERSION, "-", *DEVICE_TYPE, "-", *TAG_PYTHON_VERSION, "-", *CUDA_VERSION, "-", *OS_VERSION, "-sagemaker" ]
-    latest_release_tag: !join [ *VERSION, "-", *DEVICE_TYPE, "-", *TAG_PYTHON_VERSION, "-", *CUDA_VERSION, "-", *OS_VERSION, "-sagemaker" ]
+    # latest_release_tag: !join [ *VERSION, "-", *DEVICE_TYPE, "-", *TAG_PYTHON_VERSION, "-", *CUDA_VERSION, "-", *OS_VERSION, "-sagemaker" ]
     # skip_build: "False"
     docker_file: !join [ docker/, *SHORT_VERSION, /, *DOCKER_PYTHON_VERSION, /, *CUDA_VERSION, /Dockerfile.,
                          *DEVICE_TYPE ]
diff --git a/pytorch/training/buildspec-2-8-sm.yml b/pytorch/training/buildspec-2-8-sm.yml
index ecbd248c3648..7aa9be2588a9 100644
--- a/pytorch/training/buildspec-2-8-sm.yml
+++ b/pytorch/training/buildspec-2-8-sm.yml
@@ -50,7 +50,7 @@ images:
     tag_python_version: &TAG_PYTHON_VERSION py312
     os_version: &OS_VERSION ubuntu22.04
     tag: !join [ *VERSION, "-", *DEVICE_TYPE, "-", *TAG_PYTHON_VERSION, "-", *OS_VERSION, "-sagemaker" ]
-    latest_release_tag: !join [ *VERSION, "-", *DEVICE_TYPE, "-", *TAG_PYTHON_VERSION, "-", *OS_VERSION, "-sagemaker" ]
+    # latest_release_tag: !join [ *VERSION, "-", *DEVICE_TYPE, "-", *TAG_PYTHON_VERSION, "-", *OS_VERSION, "-sagemaker" ]
     # skip_build: "False"
     docker_file: !join [ docker/, *SHORT_VERSION, /, *DOCKER_PYTHON_VERSION, /Dockerfile., *DEVICE_TYPE ]
     target: sagemaker
@@ -66,7 +66,7 @@ images:
     cuda_version: &CUDA_VERSION cu129
     os_version: &OS_VERSION ubuntu22.04
     tag: !join [ *VERSION, "-", *DEVICE_TYPE, "-", *TAG_PYTHON_VERSION, "-", *CUDA_VERSION, "-", *OS_VERSION, "-sagemaker" ]
-    latest_release_tag: !join [ *VERSION, "-", *DEVICE_TYPE, "-", *TAG_PYTHON_VERSION, "-", *CUDA_VERSION, "-", *OS_VERSION, "-sagemaker" ]
+    # latest_release_tag: !join [ *VERSION, "-", *DEVICE_TYPE, "-", *TAG_PYTHON_VERSION, "-", *CUDA_VERSION, "-", *OS_VERSION, "-sagemaker" ]
     # skip_build: "False"
     docker_file: !join [ docker/, *SHORT_VERSION, /, *DOCKER_PYTHON_VERSION, /, *CUDA_VERSION, /Dockerfile.,
                          *DEVICE_TYPE ]
diff --git a/pytorch/training/docker/2.7/py3/Dockerfile.cpu b/pytorch/training/docker/2.7/py3/Dockerfile.cpu
index e94ae0b2adf3..4924eebc85d1 100644
--- a/pytorch/training/docker/2.7/py3/Dockerfile.cpu
+++ b/pytorch/training/docker/2.7/py3/Dockerfile.cpu
@@ -251,7 +251,7 @@ RUN pip install --no-cache-dir -U torch==${PYTORCH_VERSION} \
     #thinc 8.3.6 is not compatible with numpy 1.26.4 (sagemaker doesn't support latest numpy)
     thinc==8.3.4  \
     blis \
-    typer \ 
+    typer \
     langcodes \
     language_data \
     numpy \
@@ -325,7 +325,7 @@ RUN pip install --no-cache-dir -U torch==${PYTORCH_VERSION} \
     thinc==8.3.4  \
     blis \
     numpy \
-    typer \ 
+    typer \
     langcodes \
     language_data \
  && pip uninstall -y dataclasses
@@ -333,8 +333,8 @@ RUN pip install --no-cache-dir -U torch==${PYTORCH_VERSION} \
 # Install SM packages
 RUN pip install --no-cache-dir -U \
     # address package regression caused by smclarify depedency s3fs"
-    "awscli<=1.42.61" \
-    "boto3<=1.40.61" \
+    awscli \
+    boto3 \
     smclarify \
     "sagemaker>=2.9.0,<3" \
     "sagemaker-experiments<1" \
diff --git a/pytorch/training/docker/2.7/py3/cu128/Dockerfile.gpu b/pytorch/training/docker/2.7/py3/cu128/Dockerfile.gpu
index 1969a9f3afb8..d4545d947e53 100644
--- a/pytorch/training/docker/2.7/py3/cu128/Dockerfile.gpu
+++ b/pytorch/training/docker/2.7/py3/cu128/Dockerfile.gpu
@@ -71,7 +71,7 @@ RUN pip install --no-cache-dir -U torch==${PYTORCH_VERSION} \
     --index-url https://download.pytorch.org/whl/cu128 \
     && pip install --no-cache-dir -U torchtnt==${TORCHTNT_VERSION} \
     torchdata==${TORCHDATA_VERSION} \
-    triton 
+    triton
 
 # Install GDRCopy which is a dependency of SM Distributed DataParallel binary
 # The test binaries requires cuda driver library which could be found in conda
@@ -126,7 +126,7 @@ RUN pip install --no-cache-dir \
     psutil \
     ipython \
     ipykernel \
-    "pillow>=11.3.0" \
+    "pillow>=12.1.1" \
     h5py \
     "fsspec>=2025.7.0" \
     "markupsafe>=3.0.2" \
@@ -152,7 +152,7 @@ RUN pip install --no-cache-dir \
     #thinc 8.3.6 is not compatible with numpy 1.26.4 (sagemaker doesn't support latest numpy)
     "thinc==8.3.4" \
     blis \
-    typer \ 
+    typer \
     langcodes \
     language_data \
     "jinja2>=3.1.6"\
@@ -204,8 +204,8 @@ RUN chmod +x /usr/local/bin/start_with_right_hostname.sh
 # Install SM packages
 RUN pip install --no-cache-dir -U \
     # address package regression caused by smclarify depedency s3fs"
-    "awscli<=1.42.61" \
-    "boto3<=1.40.61" \
+    awscli \
+    boto3 \
     smclarify \
     "sagemaker>=2.9.0,<3" \
     "sagemaker-experiments<1" \
diff --git a/pytorch/training/docker/2.8/py3/Dockerfile.cpu b/pytorch/training/docker/2.8/py3/Dockerfile.cpu
index 19c22cc2b82a..74e00704271c 100644
--- a/pytorch/training/docker/2.8/py3/Dockerfile.cpu
+++ b/pytorch/training/docker/2.8/py3/Dockerfile.cpu
@@ -287,7 +287,7 @@ WORKDIR /
 # Install SM packages
 RUN pip install --no-cache-dir -U \
     smclarify \
-    "sagemaker==2.254.1" \
+    "sagemaker>2.256,<3" \
     sagemaker-experiments \
     sagemaker-pytorch-training \
     sagemaker-training \
@@ -305,7 +305,7 @@ RUN pip install --no-cache-dir -U \
     seaborn \
     shap \
     cloudpickle \
-    "langcodes<=3.5.0"
+    langcodes
 
 # Copy workaround script for incorrect hostname
 COPY changehostname.c /
diff --git a/pytorch/training/docker/2.8/py3/cu129/Dockerfile.gpu b/pytorch/training/docker/2.8/py3/cu129/Dockerfile.gpu
index 268d8c08401c..8fa8b4bc7a0d 100644
--- a/pytorch/training/docker/2.8/py3/cu129/Dockerfile.gpu
+++ b/pytorch/training/docker/2.8/py3/cu129/Dockerfile.gpu
@@ -252,15 +252,15 @@ WORKDIR /
 # Install SM packages
 RUN pip install --no-cache-dir -U \
     # address package regression caused by smclarify depedency s3fs"
-    "awscli<1.42.50" \
-    "boto3<1.40.50" \
+    awscli \
+    boto3 \
     smclarify \
-    "sagemaker==2.254.1" \
+    "sagemaker>2.256,<3" \
     sagemaker-experiments \
     sagemaker-pytorch-training \
     sagemaker-training \
     # Add sniffio explicitly as it's not included in sagemaker==2.254.1 dependencies
-    sniffio   
+    sniffio
 
 # Install extra packages
 RUN pip install --no-cache-dir -U \
@@ -273,7 +273,7 @@ RUN pip install --no-cache-dir -U \
     scikit-learn \
     seaborn \
     cloudpickle \
-    "langcodes<=3.5.0"
+    langcodes
 
 COPY setup_oss_compliance.sh setup_oss_compliance.sh
 RUN bash setup_oss_compliance.sh ${PYTHON} && rm setup_oss_compliance.sh