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Networking is an important consideration for generative AI, particularly in distributed training scenarios. During training, data is typically distributed across multiple nodes, each with their own accelerator and storage. These nodes must communicate with each other frequently to exchange data and update the model. High-speed networking solutions such as InfiniBand or RDMA are often used to minimize the latency of these communications and significantly improve the performance of the training process.