White Paper: Scaling Ethernet Fabrics for AI/ML

To train the latest AI models, cloud-service providers are investing in large accelerated-compute clusters. AI training, however, presents different requirements for network architects than standard compute instances. Proprietary interconnects have dominated these clusters as the most-performant solutions. Here, we examine an alternative fabric architecture built around ubiquitous Ethernet technology. Broadcom sponsored the creation of this white paper, but the opinions and analysis are those of the author.

Download the full white paper for free, no registration required.


Popular posts from this blog

NVIDIA Networks NVLink

NVIDIA Reveals DGX GH200 System Architecture

Ultra Ethernet Promises New RDMA Protocol