diff --git a/common/install_cuda.sh b/common/install_cuda.sh
index e10ee8ca4..77d190011 100644
--- a/common/install_cuda.sh
+++ b/common/install_cuda.sh
@@ -109,10 +109,10 @@ function install_117 {
 
     # cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
     mkdir tmp_cudnn && cd tmp_cudnn
-    wget -q https://developer.download.nvidia.com/compute/redist/cudnn/v8.3.2/local_installers/11.5/cudnn-linux-x86_64-8.3.2.44_cuda11.5-archive.tar.xz -O cudnn-linux-x86_64-8.3.2.44_cuda11.5-archive.tar.xz
-    tar xf cudnn-linux-x86_64-8.3.2.44_cuda11.5-archive.tar.xz
-    cp -a cudnn-linux-x86_64-8.3.2.44_cuda11.5-archive/include/* /usr/local/cuda/include/
-    cp -a cudnn-linux-x86_64-8.3.2.44_cuda11.5-archive/lib/* /usr/local/cuda/lib64/
+    wget -q https://ossci-linux.s3.amazonaws.com/cudnn-linux-x86_64-8.5.0.96_cuda11-archive.tar.xz -O cudnn-linux-x86_64-8.5.0.96_cuda11-archive.tar.xz
+    tar xf cudnn-linux-x86_64-8.5.0.96_cuda11-archive.tar.xz
+    cp -a cudnn-linux-x86_64-8.5.0.96_cuda11-archive/include/* /usr/local/cuda/include/
+    cp -a cudnn-linux-x86_64-8.5.0.96_cuda11-archive/lib/* /usr/local/cuda/lib64/
     cd ..
     rm -rf tmp_cudnn
     ldconfig
diff --git a/conda/pytorch-nightly/build.sh b/conda/pytorch-nightly/build.sh
index 2baff4700..05a496fc6 100755
--- a/conda/pytorch-nightly/build.sh
+++ b/conda/pytorch-nightly/build.sh
@@ -79,12 +79,12 @@ if [[ -n "$build_with_cuda" ]]; then
         #for cuda 11.5 include all dynamic loading libraries
         DEPS_LIST=(/usr/local/cuda/lib64/libcudnn*.so.8 /usr/local/cuda-11.6/extras/CUPTI/lib64/libcupti.so.11.6)
     elif [[ $CUDA_VERSION == 11.7* ]]; then
-	export TORCH_CUDA_ARCH_LIST="$TORCH_CUDA_ARCH_LIST;6.0;6.1;7.0;7.5;8.0;8.6"
-	#for cuda 11.7 we use cudnn 8.3.2.44 https://docs.nvidia.com/deeplearning/cudnn/release-notes/rel_8.html
-	#which does not have single static libcudnn_static.a deliverable to link with
-	export USE_STATIC_CUDNN=0
-	#for cuda 11.7 include all dynamic loading libraries
-	DEPS_LIST=(/usr/local/cuda/lib64/libcudnn*.so.8 /usr/local/cuda-11.7/extras/CUPTI/lib64/libcupti.so.11.7)
+        export TORCH_CUDA_ARCH_LIST="$TORCH_CUDA_ARCH_LIST;6.0;6.1;7.0;7.5;8.0;8.6"
+        #for cuda 11.7 we use cudnn 8.5
+        #which does not have single static libcudnn_static.a deliverable to link with
+        export USE_STATIC_CUDNN=0
+        #for cuda 11.7 include all dynamic loading libraries
+        DEPS_LIST=(/usr/local/cuda/lib64/libcudnn*.so.8 /usr/local/cuda-11.7/extras/CUPTI/lib64/libcupti.so.11.7)
     fi
     export NCCL_ROOT_DIR=/usr/local/cuda
     export USE_STATIC_NCCL=1  # links nccl statically (driven by tools/setup_helpers/nccl.py, some of the NCCL cmake files such as FindNCCL.cmake and gloo/FindNCCL.cmake)
diff --git a/windows/internal/cuda_install.bat b/windows/internal/cuda_install.bat
index 2bfec067a..a79571014 100644
--- a/windows/internal/cuda_install.bat
+++ b/windows/internal/cuda_install.bat
@@ -136,7 +136,7 @@ if not exist "%SRC_DIR%\temp_build\%CUDA_INSTALL_EXE%" (
     set "ARGS=thrust_11.7 nvcc_11.7 cuobjdump_11.7 nvprune_11.7 nvprof_11.7 cupti_11.7 cublas_11.7 cublas_dev_11.7 cudart_11.7 cufft_11.7 cufft_dev_11.7 curand_11.7 curand_dev_11.7 cusolver_11.7 cusolver_dev_11.7 cusparse_11.7 cusparse_dev_11.7 npp_11.7 npp_dev_11.7 nvrtc_11.7 nvrtc_dev_11.7 nvml_dev_11.7"
 )
 
-set CUDNN_FOLDER=cudnn-windows-x86_64-8.3.2.44_cuda11.5-archive
+set CUDNN_FOLDER=cudnn-windows-x86_64-8.5.0.96_cuda11-archive
 set CUDNN_LIB_FOLDER="lib"
 set "CUDNN_INSTALL_ZIP=%CUDNN_FOLDER%.zip"
 if not exist "%SRC_DIR%\temp_build\%CUDNN_INSTALL_ZIP%" (