Networking at the Heart of AI — @Scale: Networking 2025 Recap

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This post details the @Scale: Networking 2025 recap, highlighting the critical role of network engineers in building and operating the infrastructure for AI. It emphasizes the rapid evolution of AI workloads and the corresponding network demands, including the need for co-designing networks with the AI stack, ensuring high reliability, and continuous innovation. The post discusses Meta's investments in AI infrastructure, such as gigawatt-scale clusters and transoceanic fiber cable systems, and the adaptation of networking for diverse AI workloads like large-scale training, mixture-of-experts, and distributed inference. It also outlines the two major themes from the conference: underlying physical network infrastructure and higher-layer, model-oriented talks.