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AI Cluster Reference Design

AI Cluster Reference Design Guide When building a large GPU cluster for artificial intelligence (AI) training purposes, the backend network fabric should be a high-performance, lossless and predictable one. This guide describes the capabilities of DriveNets Network Cloud-AI and showcases a high-level reference design for an 8,000 GPU cluster, equipped with 400Gbps Ethernet connectivity per GPU. This design explores network segmentation, high-performance fabrics, and scalable topologies, all optimized for the unique demands of large-scale AI deployments.

In this guide you will learn about:

  • The GPU cluster network architecture
  • Example – an 8,192 GPU cluster build
  • The rack elevation and data center layout

Download the Guide