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      <title>FreeToken Unlocks Frontier MoE Inference on Consumer Hardware via Dynamic Co-Execution</title>
      <link>https://www.infoq.com/news/2026/08/freetoken-local-inference/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Local+First-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Researchers from UC Berkeley and MIT have developed FreeToken, an open-source inference engine that enhances the utility of Mixture-of-Experts models on consumer hardware. By implementing a dynamic scheduling policy and optimising weight management, FreeToken improves decoding speeds and execution efficiency in edge AI applications, fostering self-hosted reasoning systems.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Local First</category>
      <category>Large language models</category>
      <category>Model Inference</category>
      <category>Frontier Model</category>
      <category>Local Inference</category>
      <category>AI, ML &amp; Data Engineering</category>
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      <category>news</category>
      <pubDate>Sat, 29 Aug 2026 05:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/freetoken-local-inference/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Local+First-news</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-08-29T05:05:00Z</dc:date>
      <dc:identifier>/news/2026/08/freetoken-local-inference/en</dc:identifier>
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