Why Ethernet for AI Fabric?

In this white paper, Utilizing Distributed Disaggregated Chassis (DDC) for Back-End AI Networking Fabric, we explore how the DDC-based solution, already proven as a robust and scalable solution in the telecom space, delivers the highest performance AI back end network.

In this white paper you will learn how Network Cloud-AI impacts performance:

  • 30% improvement in Job Completion Time (JCT)
  • Highest bisectional bandwidth
  • No vendor lock
  • 30% higher performance in AI training compared to ethernet Clos
  • Based on next-gen routers: Distributed Disaggregated Chassis (DDC) best serves AI workloads

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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 ...

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Collateral

AMD and DriveNets Reference Architecture

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

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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.

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