AI Cluster Reference Design

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 AI Fabric 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

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TopicsAI Networking

eGuide

DriveNets AI Fabric Hardware Reference Guide

Explore the DriveNets AI Fabric hardware portfolio: the switching platforms, their roles in the fabric, detailed specifi ...

Read more

Collateral

DriveNets AI Fabric

Full-stack networking portfolio for AI infrastructure. Cluster builders need a networking solution that delivers high pe ...

Read more

Collateral

AMD and DriveNets Reference Architecture

Building high-performance AI clusters is no longer a matter of adding GPUs.

Read more

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eGuide

DriveNets AI Fabric Hardware Reference Guide

Explore the DriveNets AI Fabric hardware portfolio: the switching platforms, their roles in the fabric, detailed specifi ...

Read more

Collateral

DriveNets AI Fabric

Full-stack networking portfolio for AI infrastructure. Cluster builders need a networking solution that delivers high pe ...

Read more

Collateral

AMD and DriveNets Reference Architecture

Building high-performance AI clusters is no longer a matter of adding GPUs.

Read more