Network Architecture and Performance Requirements for Training Large-Scale Generative AI Models
The article examines the ultra‑large‑scale, high‑bandwidth, low‑latency, and automated network infrastructure needed for training generative AI models, covering custom network designs, congestion control, deterministic RDMA, topology choices such as Fat‑Tree, and emerging deterministic networking technologies.