在当今的人工智能领域，GPU、存储设备和网络接口之间实现无缝、低延迟的数据传输已成为必然需求。本章将介绍用于训练的NVIDIA Magnum IO（如NCCL、GPUDirect RDMA、GDS）以及用于解耦推理的NIXL技术。我们将结合现代GPU及NVL72等集群环境展开讨论，阐释这些库及其底层硬件如何构筑超大规模AI系统所需的关键基础设施。
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