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      <title>Article: Local-First AI Inference: A Cloud Architecture Pattern for Cost-Effective Document Processing</title>
      <link>https://www.infoq.com/articles/local-first-ai-inference-cloud/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Model+Inference-articles</link>
      <description>&lt;img src="https://res.infoq.com/articles/local-first-ai-inference-cloud/en/headerimage/Local-First-AI-Inference-A-Cloud-Architecture-Pattern-for-Cost-Effective-Document-Processing-header-1778141518292.jpg"/&gt;&lt;p&gt;The Local-First AI Inference pattern routes 70–80% of documents to deterministic local extraction at zero API cost, reserving Azure OpenAI calls for edge cases and flagging low-confidence results for human review. Deployed on 4,700 engineering drawing PDFs, it cut API costs by 75% and processing time by 55%, while bounding errors through a human review tier.&lt;/p&gt; &lt;i&gt;By Obinna Iheanachor&lt;/i&gt;</description>
      <category>Cost Optimization</category>
      <category>Artificial Intelligence</category>
      <category>Microsoft Azure</category>
      <category>Observability</category>
      <category>Model Inference</category>
      <category>Azure</category>
      <category>GPT-4</category>
      <category>Cloud</category>
      <category>Generative AI</category>
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      <category>AI, ML &amp; Data Engineering</category>
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      <category>article</category>
      <pubDate>Mon, 11 May 2026 11:00:00 GMT</pubDate>
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      <dc:creator>Obinna Iheanachor</dc:creator>
      <dc:date>2026-05-11T11:00:00Z</dc:date>
      <dc:identifier>/articles/local-first-ai-inference-cloud/en</dc:identifier>
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