<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Graphics Card Selection on Mi&amp;Bee Blog</title><link>https://blog.mickeyzzc.tech/en/tags/graphics-card-selection/</link><description>Recent content in Graphics Card Selection on Mi&amp;Bee Blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>蓝宝石的傻话</managingEditor><lastBuildDate>Tue, 30 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.mickeyzzc.tech/en/tags/graphics-card-selection/rss.xml" rel="self" type="application/rss+xml"/><item><title>GPU Selection — Architecture Generation, Product Tier, and Memory Tech, Understanding Compute Matching</title><link>https://blog.mickeyzzc.tech/en/posts/iot/gpu-selection-guide/</link><pubDate>Tue, 30 Jun 2026 00:00:00 +0000</pubDate><guid>https://blog.mickeyzzc.tech/en/posts/iot/gpu-selection-guide/</guid><description>&lt;h2 id="about-this-handbook"&gt;About This Handbook&lt;/h2&gt;
&lt;p&gt;This handbook is organized by &lt;strong&gt;architecture generation and product tier&lt;/strong&gt;, not by brand model. The reasoning matches the SSD post: GPU models refresh every generation, and listing them one by one is both verbose and reads like brand endorsement — once the vendor updates, the article loses value. But GPU underlying dimensions — architecture generation (Ampere, Hopper, Blackwell), product tier (consumer / workstation / datacenter), memory tech (HBM vs GDDR), interconnect tech (NVLink vs PCIe), precision tiers (FP16/FP8/FP4) — stay stable for 2–3 years. Understand these dimensions, and you can judge any GPU generation on the market.&lt;/p&gt;</description></item></channel></rss>