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Nvidia CUDA Layer

Installs the configured CUDA version with Nvidia drivers when supported GPU hardware is detected.

States

The following states are set by this layer:

  • cuda.supported

    This state is set when supported GPU hardware is detected.

  • cuda.installed

    This state is set once CUDA-related packages are installed and configured.

Usage

To use this layer, include it in the layer.yaml of a charm:

includes:
  - 'layer:nvidia-cuda'

Build and deploy the charm to a machine with Nvidia GPUs, e.g. instance-type=p2.xlarge on AWS or instance-type=Standard_NC6 on Azure.

Configuration

The following runtime configuration options are available in this layer:

  • cuda-version

    The cuda-repo package version to install. Defaults to 9.1.85-1.

    juju config <charm> cuda-version=9.1.85-1

    Note: This layer constructs a major-minor string from this value and installs the corresponding cuda-x-y meta package (cuda-9-1 by default). This package will install the latest available dependencies in this series.

  • install-cuda

    When True (the default), install and configure CUDA if capable hardware is present. Set this to False to prevent installation regardless of hardware support.

    juju config <charm> install-cuda=True

Caveats

Disk Space

The packages installed by this layer require approximately 4GB of disk space. Specify a root-disk constraint if needed to ensure the machine has adequate disk space for installation. For example:

juju deploy <charm> --constraints "instance-type=p2.xlarge root-disk=16G"

Removing CUDA

When the install-cuda configuration option is set to True, required packages will be installed and the system will be configured to include CUDA paths. If install-cuda is subsequently set to False, the system configuration files created by this layer will be removed; however, the packages installed by this layer will remain on the system.

Restricted Networks

This layer installs packages from http://developer.download.nvidia.com/. Configure proxies for Juju models in restricted network environments as needed. See Configuring Models for information about available proxy options.