# 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:
```bash
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)](https://github.com/container-orchestrated-devices/container-device-interface) 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:\
```bash
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:

```bash
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:
```bash
podman run --rm -ti --device=nvidia.com/gpu=gpu0 ubuntu nvidia-smi -L
```