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This repository provides a library and a simple CLI utility to automatically configure GNU/Linux containers leveraging NVIDIA hardware.
The implementation relies on kernel primitives and is designed to be agnostic of the container runtime.
# Generate docker images for a supported <os><version>
make {ubuntu18.04, ubuntu16.04, debian10, debian9, centos7, amazonlinux2, opensuse-leap15.1}
# Or generate docker images for all supported distributions in the dist/ directory
make docker
The resulting images have the name nvidia/libnvidia-container/<os>:<version>
Without Docker:
make install
# Alternatively in order to customize the installation paths
DESTDIR=/path/to/root make install prefix=/usr
# Setup a new set of namespacescd$(mktemp -d)&& mkdir rootfs
sudo unshare --mount --pid --fork
# Setup a rootfs based on Ubuntu 16.04 inside the new namespaces
curl https://cdimage.ubuntu.com/ubuntu-base/releases/16.04/release/ubuntu-base-16.04.6-base-amd64.tar.gz | tar -C rootfs -xz
useradd -R $(realpath rootfs) -U -u 1000 -s /bin/bash nvidia
mount --bind rootfs rootfs
mount --make-private rootfs
cd rootfs
# Mount standard filesystems
mount -t proc none proc
mount -t sysfs none sys
mount -t tmpfs none tmp
mount -t tmpfs none run
# Isolate the first GPU device along with basic utilities
nvidia-container-cli --load-kmods configure --ldconfig=@/sbin/ldconfig.real --no-cgroups --utility --device 0 $(pwd)# Change into the new rootfs
pivot_root . mnt
umount -l mnt
exec chroot --userspec 1000:1000 . env -i bash
# Run nvidia-smi from within the container
nvidia-smi -L
Additionally, this project can be dynamically linked with libelf from the elfutils package (https://sourceware.org/elfutils), in which case additional terms apply.
Refer to NOTICE for more information.