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    <title>Benchmarking on Experiment, Fail, Learn, Repeat</title>
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      <title>Don&#39;t Split a Model That Fits: One Pod vs Two for Gemma on CPU</title>
      <link>https://www.hairizuan.com/dont-split-a-model-that-fits-one-pod-vs-two-for-gemma-on-cpu/</link>
      <pubDate>Sun, 01 Nov 2026 00:00:00 +0000</pubDate>
      
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      <description>&lt;p&gt;In the &lt;a href=&#34;https://www.hairizuan.com/serving-gemma-across-two-nodes-with-vllm-and-leaderworkerset-on-cpu/&#34; &gt;last post&lt;/a&gt; I split a 1B-parameter Gemma model across two CPU nodes on purpose, to learn how &lt;code&gt;LeaderWorkerSet&lt;/code&gt; and vLLM&amp;rsquo;s multi-node mode behave. I said then that splitting a model that fits on one machine makes it slower, and I listed &amp;ldquo;compare the split against a single replica&amp;rdquo; among the things I had not done.&lt;/p&gt;</description>
      
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