Introduction

NVIDIA® GPU Cloud (NGC) containers leverage the power of GPUs based on the NVIDIA Pascal™ and Volta™ architecture. NVIDIA DGX systems as well as Volta and Pascal-based virtual machines hosted on cloud service providers utilize these GPUs.

Aside from these classes of hardware, NGC containers can also run on PCs installed with the following NVIDIA products:
  • NVIDIA TITAN V (Volta)
  • NVIDIA TITAN X (Pascal)
  • NVIDIA TITAN Xp (Pascal)
  • NVIDIA Quadro GV100 (Volta)
  • NVIDIA Quadro GP100 (Pascal)
  • NVIDIA Quadro P6000 (Pascal)
The document describes how to set up an NVIDIA TITAN PC to run NGC containers. Open the command line on the Ubuntu desktop and paste the code blocks into the command line.

Prerequisites

These instructions assume the following:

Installing the NVIDIA Driver

NGC containers take advantage of the power of NVIDIA GPUs. Be sure your system is installed with the appropriate NVIDIA drivers.

Setting Up the Driver Repository

Install the NVIDIA Developer repository in preparation for installing the NVIDIA driver. The following code block
  1. Installs apt-transport-https.
  2. Installs curl.
  3. Sets up the /etc/apt/sources.list.d/cuda.list file.
  4. Installs the CUDA repository key.
  5. Raises the priority for the NVIDIA repository.
sudo apt-get install -y apt-transport-https curl
cat <<EOF | sudo tee /etc/apt/sources.list.d/cuda.list > /dev/null
deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 /
EOF

curl -s \
 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub \
 | sudo apt-key add -

cat <<EOF | sudo tee /etc/apt/preferences.d/cuda > /dev/null
Package: *
Pin: origin developer.download.nvidia.com
Pin-Priority: 600
EOF

Installing the Drivers

  1. Once the repository has been set up, install the NVIDIA driver packages and reboot.
    sudo apt-get update && sudo apt-get install -y --no-install-recommends cuda-drivers
    sudo reboot
    
  2. Upon reboot, confirm that you can see your installed NVIDIA hardware in the nvidia-smi output.
    nvidia-smi
    
    Example output (TITAN card in bold):
    +-----------------------------------------------------------------------------+
    | NVIDIA-SMI 384.90                 Driver Version: 384.90                    |
    |-------------------------------+----------------------+----------------------+
    | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
    | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
    |===============================+======================+======================|
    |   0 TITAN X (Pascal)     Off  | 00000000:02:00.0  On |                  N/A |
    | 23%   30C    P8    10W / 250W |    468MiB / 12188MiB |      0%      Default |
    +-------------------------------+----------------------+----------------------+

Installing Docker and the NVIDIA Container Runtime for Docker

The Docker runtime is required to run NGC containers. In addition, the NVIDIA Container Runtime for Docker (nvidia-docker2) ensures that the high performance power of the GPU is leveraged when running NVIDIA-optimized Docker containers.

Installing the Docker Repository

The following code block will install the "docker-ce" repository. Refer to https://docs.docker.com/engine/installation/linux/docker-ce/ubuntu/#install-docker-ce for more information.

The following code block

  1. Installs the Docker prerequisites.
  2. Adds the Docker official GPG key.
  3. Adds the official stable Docker repository.
sudo apt-get install -y ca-certificates curl software-properties-common
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo add-apt-repository \
 "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"

Installing the NVIDIA Container Runtime for Docker

  1. Issue the following commands to install the NVIDIA Container Runtime for Docker (nvidia-docker2) repository, install nvidia-docker2, and then set up permissions to use Docker without sudo each time.
    curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | \
      sudo apt-key add -
    curl -s -L https://nvidia.github.io/nvidia-docker/ubuntu16.04/amd64/nvidia-docker.list | \
      sudo tee /etc/apt/sources.list.d/nvidia-docker.list
    sudo apt-get update
    sudo apt-get install -y nvidia-docker2
    sudo usermod -aG docker $USER
    

    For more information, see https://github.com/NVIDIA/nvidia-docker.

  2. Reboot the system.
    sudo reboot
    
  3. Upon reboot, test nvidia-smi with the latest official CUDA image.
    1. Log in to the NGC container registry using the following command.
      docker login nvcr.io
      

      You will be prompted to enter a Username and Password. Type “$oauthtoken” exactly as shown, and enter your NGC API key obtained during NGC account setup:

      Username: $oauthtoken

      Password: <Your NGC API Key>

    2. Test nvidia-smi.
      docker run --runtime=nvidia --rm nvcr.io/nvidia/cuda:9.0-cudnn7-devel-ubuntu16.04 nvidia-smi
      

Using NGC Containers

Make sure you have performed the following steps from the NGC website (see the NGC Getting Started Guide)
  • Signed up for an NGC account at https://ngc.nvidia.com/signup.
  • Created an NGC API key for access to the NGC container registry.
  • Browsed the NGC website and identified an available NGC container and tag to run.
See the following documents for detailed instructions on using NGC Containers.

Notices

Notice

THE INFORMATION IN THIS GUIDE AND ALL OTHER INFORMATION CONTAINED IN NVIDIA DOCUMENTATION REFERENCED IN THIS GUIDE IS PROVIDED “AS IS.” NVIDIA MAKES NO WARRANTIES, EXPRESSED, IMPLIED, STATUTORY, OR OTHERWISE WITH RESPECT TO THE INFORMATION FOR THE PRODUCT, AND EXPRESSLY DISCLAIMS ALL IMPLIED WARRANTIES OF NONINFRINGEMENT, MERCHANTABILITY, AND FITNESS FOR A PARTICULAR PURPOSE. Notwithstanding any damages that customer might incur for any reason whatsoever, NVIDIA’s aggregate and cumulative liability towards customer for the product described in this guide shall be limited in accordance with the NVIDIA terms and conditions of sale for the product.

THE NVIDIA PRODUCT DESCRIBED IN THIS GUIDE IS NOT FAULT TOLERANT AND IS NOT DESIGNED, MANUFACTURED OR INTENDED FOR USE IN CONNECTION WITH THE DESIGN, CONSTRUCTION, MAINTENANCE, AND/OR OPERATION OF ANY SYSTEM WHERE THE USE OR A FAILURE OF SUCH SYSTEM COULD RESULT IN A SITUATION THAT THREATENS THE SAFETY OF HUMAN LIFE OR SEVERE PHYSICAL HARM OR PROPERTY DAMAGE (INCLUDING, FOR EXAMPLE, USE IN CONNECTION WITH ANY NUCLEAR, AVIONICS, LIFE SUPPORT OR OTHER LIFE CRITICAL APPLICATION). NVIDIA EXPRESSLY DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY OF FITNESS FOR SUCH HIGH RISK USES. NVIDIA SHALL NOT BE LIABLE TO CUSTOMER OR ANY THIRD PARTY, IN WHOLE OR IN PART, FOR ANY CLAIMS OR DAMAGES ARISING FROM SUCH HIGH RISK USES.

NVIDIA makes no representation or warranty that the product described in this guide will be suitable for any specified use without further testing or modification. Testing of all parameters of each product is not necessarily performed by NVIDIA. It is customer’s sole responsibility to ensure the product is suitable and fit for the application planned by customer and to do the necessary testing for the application in order to avoid a default of the application or the product. Weaknesses in customer’s product designs may affect the quality and reliability of the NVIDIA product and may result in additional or different conditions and/or requirements beyond those contained in this guide. NVIDIA does not accept any liability related to any default, damage, costs or problem which may be based on or attributable to: (i) the use of the NVIDIA product in any manner that is contrary to this guide, or (ii) customer product designs.

Other than the right for customer to use the information in this guide with the product, no other license, either expressed or implied, is hereby granted by NVIDIA under this guide. Reproduction of information in this guide is permissible only if reproduction is approved by NVIDIA in writing, is reproduced without alteration, and is accompanied by all associated conditions, limitations, and notices.

Trademarks

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Other company and product names may be trademarks of the respective companies with which they are associated.