<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>CPU on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/cpu/</link><description>Recent content in CPU on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 05 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/cpu/index.xml" rel="self" type="application/rss+xml"/><item><title>Interrupts and the Main CPU Execution Loop</title><link>https://ai-blog.noorshomelab.dev/game-boy-emulator-fsharp/interrupts-cpu-execution-loop/</link><pubDate>Tue, 05 May 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/game-boy-emulator-fsharp/interrupts-cpu-execution-loop/</guid><description>&lt;h3 id="introduction"&gt;Introduction&lt;/h3&gt;
&lt;p&gt;In the previous chapters, we laid the groundwork for our Game Boy emulator by implementing the CPU&amp;rsquo;s core instruction set and a basic Memory Management Unit. However, a real system isn&amp;rsquo;t just a CPU executing instructions sequentially. Hardware components like the display, timer, and input devices need to signal the CPU when an event occurs, and the CPU needs a way to respond. This is where &lt;strong&gt;interrupts&lt;/strong&gt; come in.&lt;/p&gt;</description></item><item><title>Chapter 16: Hardware Considerations: CPU, GPU, &amp;amp; Accelerators</title><link>https://ai-blog.noorshomelab.dev/ai-ml-career-path-2026/hardware-considerations/</link><pubDate>Sat, 17 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/ai-ml-career-path-2026/hardware-considerations/</guid><description>&lt;h2 id="introduction-powering-your-ai-models"&gt;Introduction: Powering Your AI Models&lt;/h2&gt;
&lt;p&gt;Welcome back, future AI engineer! So far, we&amp;rsquo;ve journeyed through the fascinating world of neural networks, built complex architectures, understood training workflows, and even delved into advanced topics like fine-tuning Large Language Models. You&amp;rsquo;ve been writing code, thinking critically, and bringing models to life. But have you ever stopped to think about &lt;em&gt;what&lt;/em&gt; actually powers these computations?&lt;/p&gt;
&lt;p&gt;In this chapter, we&amp;rsquo;re going to pull back the curtain and explore the unsung heroes of AI: the hardware. From the general-purpose Central Processing Units (CPUs) in your everyday computer to the specialized Graphics Processing Units (GPUs) that fuel deep learning, and the cutting-edge AI accelerators like TPUs, understanding your hardware is crucial. It directly impacts your model&amp;rsquo;s training speed, inference latency, and ultimately, the cost and efficiency of your AI solutions. As of early 2026, the landscape of AI hardware is more dynamic and critical than ever, with new innovations constantly emerging to meet the insatiable demands of larger models and more complex tasks.&lt;/p&gt;</description></item></channel></rss>