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  <title>MATRIX · Ai2 GPU scheduling</title>
  <link>https://derekwang2002.github.io/ai-intelligence/en/projects/ai2-gpu-scheduling/</link>
  <description>Material changes in AI models, agents, engineering and infrastructure, with primary sources and recommendations.</description>
  <language>en</language>
  <lastBuildDate>Mon, 02 Nov 2026 16:56:00 GMT</lastBuildDate>
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    <title>Ai2 reallocates scarce GPUs with budget-weighted fair sharing</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261009-03/</link>
    <guid isPermaLink="false">ev-20261009-03-published</guid>
    <pubDate>Fri, 09 Oct 2026 15:56:33 GMT</pubDate>
    <category>New</category>
    <category>WATCH</category>
    <description>&lt;p&gt;Ai2 replaced static GPU priority queues with hierarchical, budget-weighted fair sharing, minimum-runtime contracts and simulation on historical traces. Its 30-day production data reports delivery of 98% of owed GPU hours, 98% cluster occupancy and a drop in debug-task P90 queue time from two hours to 30 seconds.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Why read: &lt;/strong&gt;Ai2 production data provides a measurable engineering baseline for fair GPU scheduling.&lt;/p&gt;&lt;p&gt;Recommendation: WATCH&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://huggingface.co/blog/allenai/impactful-scheduling&quot;&gt;Impactful scheduling for GPU clusters&lt;/a&gt;&lt;/p&gt;</description>
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