diff --git a/docker/common/install_tensorrt.sh b/docker/common/install_tensorrt.sh
index 0c762e0a3ad3..c53ab622fb45 100644
--- a/docker/common/install_tensorrt.sh
+++ b/docker/common/install_tensorrt.sh
@@ -4,13 +4,13 @@ set -ex
 
 TRT_VER="10.16.1.11"
 # Align with the pre-installed cuDNN / cuBLAS / NCCL versions from
-# https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel-26-05.html#rel-26-05
+# https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel-26-04.html#rel-26-04
 CUDA_VER="13.2" # 13.2.1
 # Keep the installation for cuDNN if users want to install PyTorch with source codes.
 # PyTorch 2.x can compile with cuDNN v9.
-CUDNN_VER="9.22.0.52-1"
-NCCL_VER="2.30.4-1+cuda13.2"
-CUBLAS_VER="13.4.1.2-1"
+CUDNN_VER="9.21.0.82-1"
+NCCL_VER="2.29.7-1+cuda13.2"
+CUBLAS_VER="13.4.0.1-1"
 # Align with the pre-installed CUDA / NVCC / NVRTC versions from
 # https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html
 NVRTC_VER="13.2.78-1"
diff --git a/jenkins/current_image_tags.properties b/jenkins/current_image_tags.properties
index 504fd8f234a8..07aa75063b77 100644
--- a/jenkins/current_image_tags.properties
+++ b/jenkins/current_image_tags.properties
@@ -13,8 +13,8 @@
 #     images are adopted from PostMerge pipelines, the abbreviated commit hash is used instead.
 IMAGE_NAME=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm
 
-LLM_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-26.05-py3-x86_64-ubuntu24.04-trt10.16.1.11-skip-tritondevel-202607151440-16194
-LLM_SBSA_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-26.05-py3-sbsa-ubuntu24.04-trt10.16.1.11-skip-tritondevel-202607151440-16194
-LLM_ROCKYLINUX8_PY310_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.2.1-devel-rocky8-x86_64-rocky8-py310-trt10.16.1.11-skip-tritondevel-202607151440-16194
-LLM_ROCKYLINUX8_PY312_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.2.1-devel-rocky8-x86_64-rocky8-py312-trt10.16.1.11-skip-tritondevel-202607151440-16194
-LLM_SBSA_WHEEL_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.2.1-devel-ubuntu24.04-sbsa-ubuntu24.04-py312-trt10.16.1.11-skip-tritondevel-202607151440-16194
+LLM_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-26.04-py3-x86_64-ubuntu24.04-trt10.16.1.11-skip-tritondevel-202607100544-16206
+LLM_SBSA_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-26.04-py3-aarch64-ubuntu24.04-trt10.16.1.11-skip-tritondevel-202607100544-16206
+LLM_ROCKYLINUX8_PY310_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.2.1-devel-rocky8-x86_64-rocky8-py310-trt10.16.1.11-skip-tritondevel-202607100544-16206
+LLM_ROCKYLINUX8_PY312_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.2.1-devel-rocky8-x86_64-rocky8-py312-trt10.16.1.11-skip-tritondevel-202607100544-16206
+LLM_SBSA_WHEEL_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.2.1-devel-ubuntu24.04-sbsa-ubuntu24.04-py312-trt10.16.1.11-skip-tritondevel-202607100544-16206
diff --git a/requirements.txt b/requirements.txt
index 99d03e56cbc2..42d9ed7b244f 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -22,13 +22,13 @@ pandas
 h5py==3.12.1
 StrEnum
 sentencepiece>=0.1.99
-# https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel-26-05.html#rel-26-05 uses 2.12.0a0.
-torch>=2.11.0,<=2.13.0a0
+# https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel-26-04.html#rel-26-04 uses 2.12.0a0.
+torch>=2.11.0,<=2.12.0a0
 torchvision
 nvidia-modelopt[torch]~=0.37.0
-# https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel-26-05.html#rel-26-05 uses 2.30.4
+# https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel-26-04.html#rel-26-04 uses 2.29.7
 # torch 2.11.0+cu130 depends on nvidia-nccl-cu13==2.28.9
-nvidia-nccl-cu13>=2.28.9,<=2.30.4
+nvidia-nccl-cu13>=2.28.9,<=2.29.7
 nvidia-cuda-nvrtc
 transformers==5.5.4
 prometheus_client