<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Apple Silicon on Landry Zetam - Tech Blog</title><link>https://blog.landryzetam.net/tags/apple-silicon/</link><description>Recent content in Apple Silicon on Landry Zetam - Tech Blog</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Mon, 11 Aug 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.landryzetam.net/tags/apple-silicon/index.xml" rel="self" type="application/rss+xml"/><item><title>How I Clustered Three Mac Studios for Local AI Processing with GPUStack</title><link>https://blog.landryzetam.net/posts/gpustack-mac-clustering/</link><pubDate>Mon, 11 Aug 2025 00:00:00 +0000</pubDate><guid>https://blog.landryzetam.net/posts/gpustack-mac-clustering/</guid><description>&lt;h2 id="opening-hook">Opening Hook&lt;/h2>
&lt;p>I&amp;rsquo;ve always loved the idea of running powerful AI workloads without relying on expensive cloud GPUs. Recently, I turned that idea into reality by transforming three Mac Studios into a fully functioning local AI cluster using &lt;strong>GPUStack&lt;/strong>. This setup lets me run distributed inference workloads across multiple Macs with Apple Metal acceleration — and it&amp;rsquo;s a lot more affordable and energy-efficient than most people think.&lt;/p>
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&lt;p>&lt;strong>Related:&lt;/strong> See &lt;a href="https://blog.landryzetam.net/posts/mac-ai-cluster/">Mac AI Cluster: From EXO Vision to GPUStack Reality&lt;/a> for the philosophical journey that led to this technical implementation.&lt;/p></description></item><item><title>NVIDIA vs Apple Silicon: The Architecture Battle That Shapes AI Models</title><link>https://blog.landryzetam.net/posts/nvidia-vs-apple-silicon-architecture/</link><pubDate>Mon, 11 Aug 2025 00:00:00 +0000</pubDate><guid>https://blog.landryzetam.net/posts/nvidia-vs-apple-silicon-architecture/</guid><description>&lt;p>When I tell people I run AI models on Mac Studios instead of NVIDIA GPUs, I often get puzzled looks. &amp;ldquo;But NVIDIA is the gold standard!&amp;rdquo; they say. And they&amp;rsquo;re not wrong — but they&amp;rsquo;re also not seeing the full picture. The architectural differences between NVIDIA and Apple Silicon aren&amp;rsquo;t just technical minutiae; they fundamentally change how AI models work, how they&amp;rsquo;re trained, and what hardware they run best on.&lt;/p></description></item><item><title>Building a Local AI Cluster with Mac Hardware: From Vision to Reality</title><link>https://blog.landryzetam.net/posts/mac-ai-cluster/</link><pubDate>Fri, 08 Aug 2025 00:00:00 +0000</pubDate><guid>https://blog.landryzetam.net/posts/mac-ai-cluster/</guid><description>&lt;h2 id="the-mission-that-started-it-all">The Mission That Started It All&lt;/h2>
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&lt;p>&lt;strong>Note:&lt;/strong> This post combines the journeys documented in my &lt;a href="https://blog.landryzetam.net/posts/mac-ai-cluster/">Mac AI Cluster Project&lt;/a> and &lt;a href="https://blog.landryzetam.net/posts/gpustack-mac-clustering/">GPUStack Mac Clustering Tutorial&lt;/a>. For deep technical details, see those project pages.&lt;/p>&lt;/blockquote>
&lt;p>When I first discovered &lt;strong>EXO Labs&lt;/strong>, their mission resonated deeply with me.&lt;/p>
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&lt;p>Humanity is headed toward a world controlled by a handful of companies that will dictate the AI models everyone uses.
The real threat isn&amp;rsquo;t AI destroying us — it&amp;rsquo;s losing sovereignty over our own minds.&lt;/p></description></item></channel></rss>