You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
check out the implementation of nvidia-container-runtime, modify runc/quark to support GPU access within container.
the hook will configure GPU access for the container by leveraging nvidia-container-cli from project libnvidia-container.
# Setup a new set of namespaces
cd $(mktemp -d) && mkdir rootfs
sudo unshare --mount --pid --fork
# Setup a rootfs based on Ubuntu 16.04 inside the new namespaces
curl http://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
check out the implementation of nvidia-container-runtime, modify runc/quark to support GPU access within container.
the hook will configure GPU access for the container by leveraging nvidia-container-cli from project libnvidia-container.
https://developer.nvidia.com/blog/nvidia-docker-gpu-server-application-deployment-made-easy/
Dependency: nvidia-docker2 -> nvidia-container-toolkit -> libnvidia-container-tools -> libnvidia-container1
The text was updated successfully, but these errors were encountered: