Adaptateurs ConnectX-8

In-depth analysis of distributed training communication primitives to understand their role in large-scale AI training, and applying NCCL to illustrate how communication primitives affect the upper limit of distributed training performance.

This article examines NVIDIA’s interconnect technologies across intra-rack, data center, and inter–data center environments, highlighting how they enable high-bandwidth, low-latency, and predictable communication for large-scale AI and HPC workloads.

This system analyzes the cluster interconnection architecture of NVIDIA B200/B300/GB200/GB300, covering DGX, NVL72 form factors and SuperPod topology design, to help understand cluster deployment methods.