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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