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{ | |
"configurationId": "Hetzner HDP Cluster", | |
"servers": [ | |
{ | |
"name": "hmaster", | |
"box": "centos/7", | |
"ram": 512, | |
"vcpu": 1, | |
"ip_addr": "192.168.100.101", | |
"rootPassWord": "abc123" |
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# Docker file for squeezeDet | |
# docker build -t nvidia-docker-mod-tensorflow_2_7 --build-arg USER_ID=`id -u $USER` . | |
# | |
# nvidia-docker run -it -v ~/squeezedet:/squeezedet nvidia-docker-mod-python_3.5 bash | |
FROM gcr.io/tensorflow/tensorflow:latest-gpu | |
# By default, Docker containers run as the root user. This is bad because: |
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#!/bin/bash | |
# install CUDA Toolkit v8.0 | |
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network)) | |
CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb" | |
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG} | |
sudo dpkg -i ${CUDA_REPO_PKG} | |
sudo apt-get update | |
sudo apt-get -y install cuda |