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    <title>MRC on KAD</title>
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    <description>Recent content in MRC on KAD</description>
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      <title>RFC 9800 Compressed SRv6: The Hidden Engine Behind AI Superclusters</title>
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      <pubDate>Tue, 26 May 2026 23:32:17 +0800</pubDate>
      
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&lt;p&gt;RFC 9800 Compressed SRv6: The Hidden Engine Behind AI Superclusters&lt;/p&gt;&lt;/blockquote&gt;
&lt;p&gt;The explosive growth of large-scale AI training has fundamentally reshaped datacenter network design.&lt;/p&gt;</description>
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      <title>OpenAI MRC Protocol Powers 100,000-GPU AI Superclusters</title>
      <link>https://www.kad8.com/network/openai-mrc-protocol-powers-100000-gpu-ai-superclusters/</link>
      <pubDate>Fri, 08 May 2026 19:35:28 +0800</pubDate>
      
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&lt;p&gt;OpenAI MRC Protocol Powers 100,000-GPU AI Superclusters&lt;/p&gt;&lt;/blockquote&gt;
&lt;p&gt;Training frontier AI models such as ChatGPT increasingly requires infrastructure operating at unprecedented scale. Modern training runs can involve hundreds of thousands of GPUs spread across thousands of servers, exchanging terabytes of synchronized data every second.&lt;/p&gt;</description>
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      <title>MRC Protocol Redefines AI Supercomputer Networking</title>
      <link>https://www.kad8.com/network/mrc-protocol-redefines-ai-supercomputer-networking/</link>
      <pubDate>Fri, 08 May 2026 00:14:43 +0800</pubDate>
      
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&lt;p&gt;MRC Protocol Redefines AI Supercomputer Networking&lt;/p&gt;&lt;/blockquote&gt;
&lt;p&gt;OpenAI, alongside NVIDIA, AMD, Intel, and Broadcom, has introduced a new networking protocol called MRC designed to address one of the largest bottlenecks in large-scale AI training: wasted GPU compute caused by network congestion and failures.&lt;/p&gt;</description>
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