<?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>AI PC おすすめ on Negi AI Lab</title><link>https://ai.negi-lab.com/tags/ai-pc-%E3%81%8A%E3%81%99%E3%81%99%E3%82%81/</link><description>Recent content in AI PC おすすめ 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>Fri, 03 Jul 2026 18:23:36 +0900</lastBuildDate><atom:link href="https://ai.negi-lab.com/tags/ai-pc-%E3%81%8A%E3%81%99%E3%81%99%E3%82%81/index.xml" rel="self" type="application/rss+xml"/><item><title>ローカルLLM構築PC・Macおすすめ比較｜VRAM不足を回避する選び方と買う前の注意点</title><link>https://ai.negi-lab.com/posts/local-llama-pc-mac-comparison-guide/</link><pubDate>Fri, 03 Jul 2026 00:00:00 +0900</pubDate><guid>https://ai.negi-lab.com/posts/local-llama-pc-mac-comparison-guide/</guid><description>オープンソースLLMへの風当たりが強まる今こそ、規制や検閲の影響を受けない「自分専用の演算資源」を確保すべきです。。結論、入門ならRTX 4060 Ti ...</description></item></channel></rss>