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    <title>Memory-Management on aeshift</title>
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    <copyright>&amp;copy; 2026 [Dachary Carey](https://dacharycarey.com) - with agent assistance · Part of the [Agent Ecosystem Research Program](https://agentecosystem.dev)</copyright>
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      <title>Your LLM Needs Virtual Memory</title>
      <link>https://aeshift.com/posts/2026-03-11-the-missing-memory-hierarchy-demand-paging-for-llm-context-windows/</link>
      <pubDate>Wed, 11 Mar 2026 00:00:00 +0000</pubDate>
      
      <guid>https://aeshift.com/posts/2026-03-11-the-missing-memory-hierarchy-demand-paging-for-llm-context-windows/</guid>
      <description>&lt;p&gt;If you&amp;rsquo;re still trying to &amp;ldquo;fit the prompt,&amp;rdquo; you&amp;rsquo;re solving the wrong problem. The right move is to treat the context window like cache and build paging, because that&amp;rsquo;s what it is. &lt;a href=&#34;http://arxiv.org/abs/2603.09023v1&#34;  target=&#34;_blank&#34; rel=&#34;noreferrer&#34;&gt;&amp;ldquo;The Missing Memory Hierarchy&amp;rdquo;&lt;/a&gt; makes that argument plainly, then backs it with production numbers that are hard to ignore: 21.8% of tokens are structural waste, and a demand-paging proxy cut context consumption by up to 93% with a tiny fault rate. That&amp;rsquo;s not prompt engineering; that&amp;rsquo;s systems engineering.&lt;/p&gt;</description>
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