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      <title>Netflix Details its In-House LLM Serving Platform with Triton and vLLM</title>
      <link>https://www.infoq.com/news/2026/07/netflix-llm-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Open+Source-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Netflix has described the production lessons behind bringing LLM inference into its internal serving platform, including the challenges of supporting different model sizes, hardware requirements, and rapidly evolving inference engines.&lt;/p&gt; &lt;i&gt;By Matt Foster&lt;/i&gt;</description>
      <category>Infrastructure</category>
      <category>Open Source</category>
      <category>Large language models</category>
      <category>Model Inference</category>
      <category>AI Architecture</category>
      <category>Netflix</category>
      <category>AI, ML &amp; Data Engineering</category>
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      <pubDate>Mon, 27 Jul 2026 07:33:00 GMT</pubDate>
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      <dc:creator>Matt Foster</dc:creator>
      <dc:date>2026-07-27T07:33:00Z</dc:date>
      <dc:identifier>/news/2026/07/netflix-llm-platform/en</dc:identifier>
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