1. Deploy NFS Storage 1.1 Configure the NFS Service on the Storage Node Install the NFS service on the storage node 1 apt-get install -y nfs-kernel-server Start the NFS service and enable it at boot 1 systemctl start nfs-server.service & systemctl enable nfs-server.service Configure the NFS shared directory 1 mkdir -p /data/nfs 1 vim /etc/exports /data/nfs *(rw,sync,no_root_squash,no_all_squash) Restart the NFS service 1 systemctl restart nfs-server.

1. Installing Nerdctl Install Opscli 1 curl -sfL https://raw.githubusercontent.com/shaowenchen/ops/main/getcli.sh |VERSION=latest sh - Install Nerdctl 1 opscli task -f install-nerdctl --arch amd64 2. BuildKit Download Buildkit 1 wget https://github.com/moby/buildkit/releases/download/v0.19.0-rc2/buildkit-v0.19.0-rc2.linux-amd64.tar.gz Install Buildkit 1 2 tar xvf buildkit-*.tar.gz mv bin/* /usr/local/bin/ Configure Buildkitd 1 mkdir -p /etc/buildkit /data/buildkit 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 cat > /etc/buildkit/buildkitd.

1. What the Image Tag Suffixes Mean base/cuda: includes the CUDA runtime runtime: builds on base, adding the CUDA math libraries and the NCCL and cuDNN runtimes devel: builds on runtime, adding headers and the development tools used to build CUDA images; particularly useful for multi-stage builds cuddn: builds on the above, adding the cuDNN neural network acceleration library

1. Introduction to Dragonfly The Dragonfly documentation at https://d7y.io/zh/docs/ already covers things in detail. Here is just a brief introduction to the main components of V2: Manager, which provides the UI, user management, cluster monitoring, task management, and other features Scheduler, which schedules traffic between Peers and provides preheating and other features Seed Peer, the back-to-source node used to download data from origin sites (Harbor, Docker.

Statistics show that most files inside a container are never used. Based on this characteristic, Nydus defines a custom filesystem in the Rafs format, enabling on-demand loading of image files to solve the slow startup and storage consumption caused by large images. In AI scenarios, whether for inference or training, images often start at several GB, or even tens of GB, so Nydus is very well suited.