<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>VRAM 16GB 比較 on Negi AI Lab</title><link>https://ai.negi-lab.com/tags/vram-16gb-%E6%AF%94%E8%BC%83/</link><description>Recent content in VRAM 16GB 比較 on Negi AI Lab</description><image><title>Negi AI Lab</title><url>https://ai.negi-lab.com/images/og-default.png</url><link>https://ai.negi-lab.com/images/og-default.png</link></image><generator>Hugo -- 0.154.5</generator><language>ja</language><lastBuildDate>Wed, 24 Jun 2026 02:11:20 +0900</lastBuildDate><atom:link href="https://ai.negi-lab.com/tags/vram-16gb-%E6%AF%94%E8%BC%83/index.xml" rel="self" type="application/rss+xml"/><item><title>ローカルLLM構築の損益分岐点とおすすめGPU比較｜RTX 4090・Mac・クラウドの選び方</title><link>https://ai.negi-lab.com/posts/local-llm-hardware-guide-tokenomics-rtx-mac/</link><pubDate>Wed, 24 Jun 2026 00:00:00 +0900</pubDate><guid>https://ai.negi-lab.com/posts/local-llm-hardware-guide-tokenomics-rtx-mac/</guid><description>結論：月間300万トークン以上（CursorやClineの常用）を消費するなら、RTX 4090かApple Siliconへの投資は1年以内に回収できる...</description></item></channel></rss>