What usually stops PyTorch training from scaling out to a cluster is the container, not the model code. Every container needs the same CUDA runtime, a PyTorch build compiled against it, NCCL (NVIDIA Collective Communications Library), the Elastic Fabric Adapter (EFA) userspace libraries, the AWS OFI NCCL plugin that connects NCCL to EFA, and a…
