# Cluster Documentation Hub

## Design and Guides

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<a href="https://instinct.docs.amd.com/projects/system-acceptance/en/latest/" class="card-header-link">
  <h2 class="card-header">Instinct Customer Acceptance Guide</h2>
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<p class="paragraph">Comprehensive guide for configuring, validating, benchmarking, and baselining AMD Instinct™ GPUs.</p>
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<a href="https://instinct.docs.amd.com/projects/gpu-cluster-networking/en/latest/" class="card-header-link">
  <h2 class="card-header">Cluster Networking Guide</h2>
</a>
<p class="paragraph">Optimize the network for Instinct GPU applications </p>
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<a href="https://instinct.docs.amd.com/projects/MI3XX-reference/latest/index.html" class="card-header-link">
  <h2 class="card-header">MI3XX Reference Design</h2>
</a>
<p class="paragraph">Reference design materials and topology examples for the AMD Instinct MI3XX platform.</p>
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<a href="https://docs.amd.com/v/u/en-US/AMD_Instinct_AMD-DriveNets_System_Reference_Architecture_RF-72513" class="card-header-link">
  <h2 class="card-header">AMD-DriveNets System Reference Architecture</h2>
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<p class="paragraph">Validated, end-to-end reference architecture for building and operating large-scale AI GPU clusters using AMD Instinct MI350-series (MI355X) compute paired with the DriveNets AI Fabric networking solution.</p>
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## Articles and Overviews

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<a href="https://rocm.blogs.amd.com/artificial-intelligence/amd-comparative-analysis/README.html" class="card-header-link">
  <h2 class="card-header">Comparative Analysis of Scale-Out RoCE Network Traffic Patterns and Loads in Training Large Language Models</h2>
</a>
<p class="paragraph">Compares RoCE network traffic patterns and loads across GPT-4, Llama 3, DeepSeek-V2, and Grok 4.0 LLM training.</p>
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