<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hardware on AI Brief | AI-101.tech</title><link>https://AI-101.tech/tags/hardware/</link><description>Recent content in Hardware on AI Brief | AI-101.tech</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 28 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://AI-101.tech/tags/hardware/index.xml" rel="self" type="application/rss+xml"/><item><title>The Final Piece of the AI Puzzle: NVIDIA B200 Enters Mass Production, Inference Costs Set to Plummet</title><link>https://AI-101.tech/posts/2026-03-28-nvidia-b200-inference-chip/</link><pubDate>Sat, 28 Mar 2026 00:00:00 +0000</pubDate><guid>https://AI-101.tech/posts/2026-03-28-nvidia-b200-inference-chip/</guid><description>&lt;p>While the world debates how smart GPT-5 or Llama 4 are, the crucial driving force behind the scenes — hardware computing power — has also reached a historic moment. NVIDIA officially announced that the new generation &lt;strong>Blackwell architecture B200 inference chip&lt;/strong> has entered full mass production. This chip, hailed as the &amp;ldquo;world&amp;rsquo;s most powerful AI engine,&amp;rdquo; is not just a accumulation of performance, but a comprehensive innovation in AI operational costs.&lt;/p></description></item></channel></rss>