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Signed-off-by: Evan Lezar <elezar@nvidia.com> |
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README.md |
NVIDIA Container Toolkit CLI
The NVIDIA Container Toolkit CLI nvidia-ctk
provides a number of utilities that are useful for working with the NVIDIA Container Toolkit.
Functionality
Configure runtimes
The runtime
command of the nvidia-ctk
CLI provides a set of utilities to related to the configuration
and management of supported container engines.
For example, running the following command:
nvidia-ctk runtime configure --set-as-default
will ensure that the NVIDIA Container Runtime is added as the default runtime to the default container engine.
Generate CDI specifications
The Container Device Interface (CDI) provides a vendor-agnostic mechanism to make arbitrary devices accessible in containerized environments. To allow NVIDIA devices to be used in these environments, the NVIDIA Container Toolkit CLI includes functionality to generate a CDI specification for the available NVIDIA GPUs in a system.
In order to generate the CDI specification for the available devices, run the following command:\
nvidia-ctk cdi generate
The default is to print the specification to STDOUT and a filename can be specified using the --output
flag.
The specification will contain a device entries as follows (where applicable):
- An
nvidia.com/gpu=gpu{INDEX}
device for each non-MIG-enabled full GPU in the system - An
nvidia.com/gpu=mig{GPU_INDEX}:{MIG_INDEX}
device for each MIG-device in the system - A special device called
nvidia.com/gpu=all
which represents all available devices.
For example, to generate the CDI specification in the default location where CDI-enabled tools such as podman
, containerd
, cri-o
, or the NVIDIA Container Runtime can be configured to load it, the following command can be run:
sudo nvidia-ctk cdi generate --output=/etc/cdi/nvidia.yaml
(Note that sudo
is used to ensure the correct permissions to write to the /etc/cdi
folder)
With the specification generated, a GPU can be requested by specifying the fully-qualified CDI device name. With podman
as an exmaple:
podman run --rm -ti --device=nvidia.com/gpu=gpu0 ubuntu nvidia-smi -L