Multi-Node Setup

Key Insight

Scaling deep learning training beyond a single server requires a multi-node configuration, where virtual or physical machines are connected via a high-speed network. In this environment, the communication bottleneck shifts from fast intra-node interconnects like NVLink to slower inter-node connections like InfiniBand (IB) or RoCE. To prevent the network from stalling the training loop, distributed frameworks rely on optimized network topologies and collective communication libraries like NCCL to pipeline data transfer and maximize throughput.