diff --git a/components/cuda/docker-compose.cuda.yml b/components/cuda/docker-compose.cuda.yml
index 66445f12437c..6c1076bd83dc 100644
--- a/components/cuda/docker-compose.cuda.yml
+++ b/components/cuda/docker-compose.cuda.yml
@@ -15,4 +15,4 @@ services:
     environment:
       NVIDIA_VISIBLE_DEVICES: all
       NVIDIA_DRIVER_CAPABILITIES: compute,utility
-      NVIDIA_REQUIRE_CUDA: "cuda>=9.0"
+      NVIDIA_REQUIRE_CUDA: "cuda>=10.0 brand=tesla,driver>=384,driver<385 brand=tesla,driver>=410,driver<411"
diff --git a/components/cuda/install.sh b/components/cuda/install.sh
index 2cda99fcb769..a56bf9648493 100755
--- a/components/cuda/install.sh
+++ b/components/cuda/install.sh
@@ -1,37 +1,43 @@
-#!/bin/bash
+#!/usr/bin/env bash
 #
-# Copyright (C) 2018 Intel Corporation
+# cuda 10.0 base    - https://gitlab.com/nvidia/cuda/blob/ubuntu16.04/10.0/base/Dockerfile
+# cuda 10.0 runtime - https://gitlab.com/nvidia/cuda/blob/ubuntu16.04/10.0/runtime/Dockerfile
+# cudnn7            - https://gitlab.com/nvidia/cuda/blob/ubuntu16.04/10.0/runtime/cudnn7/Dockerfile
 #
-# SPDX-License-Identifier: MIT
 #
 set -e
 
-NVIDIA_GPGKEY_SUM=d1be581509378368edeec8c1eb2958702feedf3bc3d17011adbf24efacce4ab5 && \
-NVIDIA_GPGKEY_FPR=ae09fe4bbd223a84b2ccfce3f60f4b3d7fa2af80 && \
-apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub && \
-apt-key adv --export --no-emit-version -a $NVIDIA_GPGKEY_FPR | tail -n +5 > cudasign.pub && \
-echo "$NVIDIA_GPGKEY_SUM  cudasign.pub" | sha256sum -c --strict - && rm cudasign.pub && \
-echo "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/cuda.list && \
-echo "deb http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list
+apt-get update && apt-get install -y --no-install-recommends ca-certificates apt-transport-https gnupg-curl && \
+    rm -rf /var/lib/apt/lists/* && \
+    NVIDIA_GPGKEY_SUM=d1be581509378368edeec8c1eb2958702feedf3bc3d17011adbf24efacce4ab5 && \
+    NVIDIA_GPGKEY_FPR=ae09fe4bbd223a84b2ccfce3f60f4b3d7fa2af80 && \
+    apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub && \
+    apt-key adv --export --no-emit-version -a ${NVIDIA_GPGKEY_FPR} | tail -n +5 > cudasign.pub && \
+    echo "${NVIDIA_GPGKEY_SUM}  cudasign.pub" | sha256sum -c --strict - && rm cudasign.pub && \
+    echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/cuda.list && \
+    echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list
 
-CUDA_VERSION=9.0.176
-NCCL_VERSION=2.1.15
-CUDNN_VERSION=7.6.2.24
-CUDA_PKG_VERSION="9-0=${CUDA_VERSION}-1"
+CUDA_VERSION=10.0.130
+NCCL_VERSION=2.4.2
+CUDNN_VERSION=7.6.0.64
+CUDA_PKG_VERSION="10-0=${CUDA_VERSION}-1"
+echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf
+echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf
 echo 'export PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}' >> ${HOME}/.bashrc
 echo 'export LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:${LD_LIBRARY_PATH}' >> ${HOME}/.bashrc
 
-apt-get update && apt-get install -y --no-install-recommends --allow-unauthenticated \
-    libprotobuf-dev \
-    libprotoc-dev \
-    protobuf-compiler \
-    cuda-cudart-$CUDA_PKG_VERSION \
-    cuda-libraries-$CUDA_PKG_VERSION \
-    libnccl2=$NCCL_VERSION-1+cuda9.0 \
-    libcudnn7=$CUDNN_VERSION-1+cuda9.0 && \
-    ln -s cuda-9.0 /usr/local/cuda && \
-rm -rf /var/lib/apt/lists/* \
-    /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.d/cuda.list
+# For libraries in the cuda-compat-* package: https://docs.nvidia.com/cuda/eula/index.html#attachment-a
+apt-get update && apt-get install -y --no-install-recommends \
+        cuda-cudart-${CUDA_PKG_VERSION} \
+        cuda-compat-10-0 \
+        cuda-libraries-${CUDA_PKG_VERSION} \
+        cuda-nvtx-${CUDA_PKG_VERSION} \
+        libnccl2=${NCCL_VERSION}-1+cuda10.0 \
+        libcudnn7=${CUDNN_VERSION}-1+cuda10.0 && \
+    apt-mark hold libnccl2 libcudnn7 && \
+    ln -s cuda-10.0 /usr/local/cuda && \
+    rm -rf /var/lib/apt/lists/* \
+        /etc/apt/sources.list.d/cuda.list /etc/apt/sources.list.d/nvidia-ml.list
 
 pip3 uninstall -y tensorflow
-pip3 install --no-cache-dir tensorflow-gpu==1.12.3
+pip3 install --no-cache-dir tensorflow-gpu==1.14.0