Adapted and modified from https://github.com/jaywonchung/ngpus-profile.

A CloudLab profile for a cluster of N GPU nodes, attached to a LAN. An NFS server provides long-term persistence.

• Installs CUDA, Docker, and Miniconda3.
• A 200GB block storage is mounted to /data, and /opt is mounted from /data/opt. Docker data root is also set to be /data/docker-data.
• An NFS server node (anything available and cheap) is provisioned and connected to all GPUs nodes. 200GB block storage is mounted to /nfs.

• For users who were not specified in the experiment startup parameter, run the following to setup your home directory.

  sudo /local/repository/setup-home.sh $USER

• Run the following to install Jae-Won's dotfiles.

  source <(curl -L https://jaewonchung.me/install-dotfiles.sh)

When distributed training collective communication is hanging, consider the following remedies:

• NCCL_P2P_DISABLE=1: According to the NCCL troubleshooting guide, P2P can hang because r7525 nodes have PCI ACS enabled.
• NCCL_SOCKET_IFNAME=ens5f0 and MASTER_ADDR=192.168.10.1: This would be using the BlueField SmartNIC for communication between nodes. Note that sometimes, the BF devices in r7525 nodes can be left at a funny state where it is not able to receive and send any data. In that case, reset the NIC following the instructions here.