Nvidia Docker Install Ubuntu 18.04

Install nVidia driver: On Ubuntu 18.04.2: HOWTO: Intel and nVidia GPUs on Ubuntu 18.04.1 LTS On Kali Linux 2019.1: HOWTO: nVidia and HashCat on Kali Linux 2018.4 Uninstall docker.io (if any) sudo apt remove docker docker-engine docker.io containerd runc docker-compose Ready for docker-ce On Ubuntu 18.04.2. This tutorial will help you set up Docker and Nvidia-Docker 2 on Ubuntu 18.04. Docker is a tool designed to make it easier to create, deploy, and run applications by using containers. Docker was popularly adopted by data scientists and machine learning developers since its inception in 2013.

Everything You Need to Set Up Your Development Environment

NVIDIA SDK Manager provides an end-to-end development environment setup solution for NVIDIA’s DRIVE, Jetson, Clara AGX, Rivermax, DOCA and Ethernet Switch SDKs for both host and target devices.

Download NVIDIA SDK Manager 1.6.1

.deb
Ubuntu
.rpmCentOS
Docker image
SDK Manager User Guide

What’s New in SDK Manager v1.6.1:

  • Added support for NVIDIA Rivermax. First release will support Rivermax 1.8.
  • Added support for CentOS 7.6 Operating System (currently available only for DOCA SDK).
  • Added support to verify target system readiness when installing SDKs on the target device.
  • Bug fixes and stability improvements
Host OSUbuntu 16.04, 18.04 and 20.04 on x86_64 system
CentOS 7.6, 8.0 and 8.2 on x86_64 system
DependenciesRequirements vary depending on the deployed SDK.
HardwareRAM 8GB
Internet Connection
For specific DRIVE, JetPack, Clara AGX, Rivermax, DOCA and Ethernet Switch deployed SDKs, see product release notes.

Highlights

✔ Faster than ever
Fast download and streamlined development environment setup.

✔ Packages and dependencies manager
Orchestrates SDKs, tools and driver combinations, secures incompatibilities of software versions.

✔ Supports both host machine and target devices
Installs SDKs on host machine, flashes NVIDIA HW development platforms, supports different OSes.

✔ Designed for developers
GUI and command line applications.

✔ Easy to get
A single location for multiple software development SDKs and tools.

✔ Know when there is an update
Update notifications to get the latest and greatest from NVIDIA.


SDK Manager deploys NVIDIA DRIVE, Jetson, Clara AGX, Rivermax, DOCA and Ethernet Switch SDKs.

Learn more about NVIDIA DRIVE
Learn more about NVIDIA Jetson
Learn more about NVIDIA Clara AGX
Learn more about Nvidia Rivermax SDK
Learn more about NVIDIA DOCA SDK
Learn more about NVIDIA Ethernet Switch SDK

Get Started:

1. DOWNLOAD

2. INSTALL

  • Ubuntu: from a terminal window, install the Debian package with the command: sudo apt install ./sdkmanager_[version]-[build#]_amd64.deb
  • CentOS: from a terminal window, install the rpm package with the command: sudo dnf install ./sdkmanager_[version]-[build#]_amd64.rpm
  • SDK Manager also supports command line interface. Run sdkmanager --help to see the options

3. LAUNCH

  • From a terminal window, launch SDK Manager with the command: sdkmanager

4. LOGIN & SETUP

  • From the SDK Manager launch screen, select the appropriate login tab for your account type, NVIDIA Developer (developer.nvidia.com) OR NVONLINE (partners.nvidia.com) and complete the login process.
  • Select the Product Category you would like to install and follow the steps to complete the installation.

Docker Support:

1. DOWNLOAD

2. INSTALL

  • From a terminal, load the Docker image: docker load -i ./sdkmanager_[version].[build#]_docker.tar.gz
  • It is recommended that you tag the version as 'latest,' for ease of use: docker tag sdkmanager:[version].[build#] sdkmanager:latest

Nvidia Docker Install Ubuntu 18.044

3. LAUNCH

  • The Docker image is designed to be executed directly from the host, without the need to open the terminal inside the docker itself. The sdkmanager executable is the entrypoint. SDK Manager CLI arguments should be used directly when running a new container:
  • Example command: SDK Manager CLI with Docker: docker run -it --rm sdkmanager --help
  • For more information, see SDK Manager user guide.

Visit SDK Manager Downloads Archive for older versions.


*SDK Manager is using open source software available for download here.

Tutorial

Introduction

Docker is a great tool for automating the deployment of Linux applications inside software containers, but to take full advantage of its potential each component of an application should run in its own individual container. For complex applications with a lot of components, orchestrating all the containers to start up, communicate, and shut down together can quickly become unwieldy.

The Docker community came up with a popular solution called Fig, which allowed you to use a single YAML file to orchestrate all your Docker containers and configurations. This became so popular that the Docker team decided to make Docker Compose based on the Fig source, which is now deprecated. Docker Compose makes it easier for users to orchestrate the processes of Docker containers, including starting up, shutting down, and setting up intra-container linking and volumes.

In this tutorial, we’ll show you how to install the latest version of Docker Compose to help you manage multi-container applications.

Prerequisites

To follow this article, you will need an Ubuntu 18.04 server with the following:

  • A non-root user with sudo privileges (Initial Server Setup with Ubuntu 18.04 explains how to set this up.)
  • Docker installed with the instructions from Step 1 and Step 2 of How To Install and Use Docker on Ubuntu 18.04

Once these are in place, you’re ready to follow along.

Note: Even though the Prerequisites give instructions for installing Docker on Ubuntu 18.04, the docker commands in this article should work on other operating systems as long as Docker is installed.

Step 1 — Installing Docker Compose

Although we can install Docker Compose from the official Ubuntu repositories, it is several minor version behind the latest release, so we’ll install Docker Compose from the Docker’s GitHub repository. The command below is slightly different than the one you’ll find on the Releases page. By using the -o flag to specify the output file first rather than redirecting the output, this syntax avoids running into a permission denied error caused when using sudo.

We’ll check the current release and if necessary, update it in the command below:

Next we’ll set the permissions:

Then we’ll verify that the installation was successful by checking the version:

This will print out the version we installed:

Now that we have Docker Compose installed, we’re ready to run a “Hello World” example.

Step 2 — Running a Container with Docker Compose

Nvidia Docker Install Ubuntu 18.04

The public Docker registry, Docker Hub, includes a Hello World image for demonstration and testing. It illustrates the minimal configuration required to run a container using Docker Compose: a YAML file that calls a single image:

First, we’ll create a directory for the YAML file and move into it:

Then, we’ll create the YAML file:

Put the following contents into the file, save the file, and exit the text editor:

The first line in the YAML file is used as part of the container name. The second line specifies which image to use to create the container. When we run the command docker-compose up it will look for a local image by the name we specified, hello-world. With this in place, we’ll save and exit the file.

We can look manually at images on our system with the docker images command:

When there are no local images at all, only the column headings display:

Now, while still in the ~/hello-world directory, we’ll execute the following command:

The first time we run the command, if there’s no local image named hello-world, Docker Compose will pull it from the Docker Hub public repository:

18.044

After pulling the image, docker-compose creates a container, attaches, and runs the hello program, which in turn confirms that the installation appears to be working:

Then it prints an explanation of what it did:

Docker containers only run as long as the command is active, so once hello finished running, the container stopped. Consequently, when we look at active processes, the column headers will appear, but the hello-world container won’t be listed because it’s not running.

We can see the container information, which we’ll need in the next step, by using the -a flag which shows all containers, not just the active ones:

This displays the information we’ll need to remove the container when we’re done with it.

Step 3 — Removing the Image (Optional)

To avoid using unnecessary disk space, we’ll remove the local image. To do so, we’ll need to delete all the containers that reference the image using the docker rm command, followed by either the CONTAINER ID or the NAME. Below, we’re using the CONTAINER ID from the docker ps -a command we just ran. Be sure to substitute the ID of your container:

Once all containers that reference the image have been removed, we can remove the image:

Conclusion

We’ve now installed Docker Compose, tested our installation by running a Hello World example, and removed the test image and container.

While the Hello World example confirmed our installation, the simple configuration does not show one of the main benefits of Docker Compose — being able to bring a group of Docker containers up and down all at the same time. To see the power of Docker Compose in action, you might like to check out this practical example, How To Configure a Continuous Integration Testing Environment with Docker and Docker Compose on Ubuntu 16.04(note: this article is for Ubuntu 16.04 rather than 18.04)