<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Cloudflare on MacWorks</title><link>https://macworks.dev/tags/cloudflare/</link><description>Recent content in Cloudflare on MacWorks</description><generator>Hugo</generator><language>en</language><atom:link href="https://macworks.dev/tags/cloudflare/index.xml" rel="self" type="application/rss+xml"/><item><title>2026-05-03</title><link>https://macworks.dev/docs/archives/tech/tech-2026-05-03/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://macworks.dev/docs/archives/tech/tech-2026-05-03/</guid><description>&lt;details&gt;
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&lt;h1 id="engineering--scale--2026-05-03"&gt;Engineering @ Scale — 2026-05-03&lt;a class="anchor" href="#engineering--scale--2026-05-03"&gt;#&lt;/a&gt;&lt;/h1&gt;
&lt;h2 id="signal-of-the-day"&gt;Signal of the Day&lt;a class="anchor" href="#signal-of-the-day"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Cloudflare is tackling the exorbitant cost and performance bottlenecks of global LLM inference by architecturally decoupling the input processing phase from the output generation phase. This allows them to route heavily asymmetric workloads to purpose-optimized hardware systems rather than relying on monolithic, generalized compute environments.&lt;/p&gt;</description></item></channel></rss>