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      <title>Presentation: Beyond the Prototype: Scaling Framework Agnostic AI Agent Infrastructure with Ray</title>
      <link>https://www.infoq.com/presentations/scale-llm-agents-production-ray/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Scalability-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/scale-llm-agents-production-ray/en/mediumimage/medium-1792065446239.jpg"/&gt;&lt;p&gt;The speakers discuss transitioning AI agents from local FastAPI prototypes to resilient production systems on Kubernetes using Ray. They share operational insights on RayCluster topology, stateful memory handling, auto-scaling on dynamic traffic, and robust control plane designs, while highlighting critical guardrails, multi-region setups, and LLM-as-a-judge evaluation pipelines.&lt;/p&gt; &lt;i&gt;By Deepak Mohanakumar Chandramouli, Bhumik Vinodkumar Thakkar&lt;/i&gt;</description>
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      <category>Large language models</category>
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      <category>QCon AI Boston 2026</category>
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      <pubDate>Tue, 20 Oct 2026 11:00:00 GMT</pubDate>
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      <dc:creator>Deepak Mohanakumar Chandramouli, Bhumik Vinodkumar Thakkar</dc:creator>
      <dc:date>2026-10-20T11:00:00Z</dc:date>
      <dc:identifier>/presentations/scale-llm-agents-production-ray/en</dc:identifier>
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