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    <title>Lossless Network — the Podcast</title>
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    <description>AI networking for network engineers — distilled into 10–15 minute conversations. RoCE, RDMA, lossless Ethernet, the fabrics behind the AI models you keep hearing about, translated into the language of someone who already runs a network.</description>
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    <copyright>© 2026 Nagarjun Velmurugan. Licensed CC BY 4.0.</copyright>
    <itunes:author>Nagarjun Velmurugan</itunes:author>
    <itunes:summary>AI networking for network engineers — distilled into 10–15 minute conversations. RoCE, RDMA, lossless Ethernet, the fabrics behind the AI models you keep hearing about, translated into the language of someone who already runs a network.</itunes:summary>
    <itunes:owner>
      <itunes:name>Nagarjun Velmurugan</itunes:name>
      <itunes:email>arjun@losslessnetwork.com</itunes:email>
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      <title>Ep 1: Why AI Networks Are Different</title>
      <description>In this first conversation we cover the three things every network engineer needs to internalize before they look at an AI cluster: (1) why tail latency on one link kills the whole job, (2) why &quot;lossy&quot; Ethernet isn&apos;t survivable, and (3) why oversubscription — the design lever you&apos;ve relied on for two decades — becomes the enemy here. Aimed at network engineers who&apos;ve never racked a GPU server and want to.</description>
      <itunes:summary>A 12-minute primer on why your DC playbook doesn&apos;t carry over to an AI fabric — and what changes when 8,000 GPUs gradient-AllReduce every 2 seconds.</itunes:summary>
      <itunes:author>Nagarjun Velmurugan</itunes:author>
      <itunes:episode>1</itunes:episode>
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      <itunes:duration>763</itunes:duration>
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      <pubDate>Sat, 23 May 2026 12:00:00 GMT</pubDate>
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