➀ The article discusses the evolution of large models from billion-parameter language models to trillion-parameter multimodal models, necessitating a significant boost in underlying computing capabilities for ultra-thousand-card clusters. ➁ It describes the network architecture of ByteDance, Baidu, Alibaba, and Tencent's AI clusters, highlighting the use of advanced technologies like Broadcom Tomahawk 5 chips, InfiniBand, and RoCE. ➂ The article also delves into the innovative HPN-AIPod architecture of Baidu and Alibaba's HPN7 network, showcasing their high-performance and scalable designs.
Related Articles
- RDMA Technology in Large-Scale Model Trainingabout 1 year ago
- World's First AI Cluster with CXL 3.1 Switch Unveiled9 months ago
- Ten Key Points About Musk's AI Ten Million Card Cluster10 months ago
- Broadcom DSP PHY supports 200Gbps interfaces12 months ago