<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Local-Ai on Ilscipio - Enterprise Commerce Experts</title>
    <link>https://www.ilscipio.com/en/tags/local-ai/</link>
    <description>Recent content in Local-Ai on Ilscipio - Enterprise Commerce Experts</description>
    <generator>Hugo</generator>
    <language>en-US</language>
    <lastBuildDate>Fri, 28 Aug 2026 00:00:00 +0000</lastBuildDate>
    <atom:link href="https://www.ilscipio.com/en/tags/local-ai/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Local AI vs. Cloud APIs - When Each One Makes Sense</title>
      <link>https://www.ilscipio.com/en/blog/local-ai-vs-cloud-apis/</link>
      <pubDate>Fri, 28 Aug 2026 00:00:00 +0000</pubDate>
      <guid>https://www.ilscipio.com/en/blog/local-ai-vs-cloud-apis/</guid>
      <description>&lt;p&gt;I run local models on my own hardware for some tasks and cloud APIs for others. People ask which one is better as if it is a philosophical question. It is not. It is a cost and latency question, and the answer depends on what you are doing.&lt;/p&gt;&#xA;&lt;h2 id=&#34;when-local-makes-sense&#34;&gt;When local makes sense&lt;/h2&gt;&lt;p&gt;If you have a task that runs thousands of times a day with short inputs and predictable outputs - classification, extraction, simple Q&amp;amp;A - a local model is cheaper. You pay for the hardware once (or rent a dedicated GPU) and run as many requests as you want. No per-token billing, no rate limits, no dependency on someone else&amp;rsquo;s uptime.&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
