Scaling AI Clusters Across Multi-Site Deployments

Large language models (LLMs), generative AI, and advanced analytics are pushing data center infrastructures to their limits.

This white paper outlines the networking challenges and key considerations for expanding AI clusters across geographically distributed sites.

In this white paper you will explore:

  • Core challenges to AI expansion
  • Market solutions and their limitations
  • Optimal solution for multi-site AI Networking
  • Distributed AI performance with DriveNets

 

Download the White Paper

Continue reading

DriveNets Advances Open Backend Networking for AI with AMD

Industry Events

DriveNets Advances Open Backend Networking for AI with AMD

DriveNets works with AMD to deliver an open, full stack backend networking solution for AI advanced by AMD Instinct™ M ...

Read more

Collateral

AMD and DriveNets Reference Architecture

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

Read more

White Papers

Faster LLM Inference on AMD Requires Rethinking All-Reduce

Extracting maximum ROI from AMD AI clusters requires moving beyond out-of-the-box software bottlenecks.

Read more