Richard Ortega richardjortega

Configuration for GPU-accelerated Machine Learning system (using Ubuntu 18.04)

Setup Ubuntu x86_64 18.04
Disable UEFI Safe Boot in BIOS (for NVIDIA module signing, may not be necessary)

Note: This guide assumes Azure CLI 2.0 is installed and familiarity with Azure concepts.

The APP_ID_URI needs to match what is expected in client request calls.

$ az ad sp create-for-rbac --name [APP_ID_URI] --password [PASSWORD]

	git clone https://github.com/arut/nginx-rtmp-module
	sudo apt-get install -y build-essential libpcre3 libpcre3-dev libssl-dev

	wget https://nginx.org/download/nginx-1.16.1.tar.gz
	tar zxf nginx-1.16.1.tar.gz
	cd nginx-1.16.1

	./configure \
	--sbin-path=/usr/local/nginx/nginx \
	--conf-path=/usr/local/nginx/nginx.conf \

	# Set device connection string here
	DEVICE_CONNECTION_STRING=''

	echo "Checking if IoT Edge is setup on this Edge VM..."


	if ! sudo systemctl is-active --quiet iotedge ; then
	echo "IoT Edge is not active (or unknown), installation process starting..."
	echo "Installing IoT Edge..."
	echo "Installing Moby runtime..."

	# The docker group grants privileges equivalent to the root user
	sudo usermod -aG docker $USER
	newgrp docker
	docker run hello-world

	# Run as root, sets up stable version of Docker CE
	# Bash version of : https://docs.docker.com/install/linux/docker-ce/ubuntu/#install-docker-engine---community-1
	# Quickly run script via: curl <gist raw link> \| bash

	# Update apt package index
	apt-get update -y

	# Install packages to allow apt to use a repository over HTTPS
	apt-get install -y \
	apt-transport-https \

	# Assumes python3/pip3 installed
	pip3 install --upgrade iotedgehubdev

	# Run using:
	# $ curl url/path/to/this/gist \| sh

	# Tooling
	sudo apt-get update
	sudo apt-get install -y vim git

	# Install docker
	curl -sSL https://get.docker.com \| sh
	sudo usermod -aG docker pi