<?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>Apple Silicon 統一メモリ on Negi AI Lab</title><link>https://ai.negi-lab.com/tags/apple-silicon-%E7%B5%B1%E4%B8%80%E3%83%A1%E3%83%A2%E3%83%AA/</link><description>Recent content in Apple Silicon 統一メモリ 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, 09 Sep 2026 03:05:51 +0900</lastBuildDate><atom:link href="https://ai.negi-lab.com/tags/apple-silicon-%E7%B5%B1%E4%B8%80%E3%83%A1%E3%83%A2%E3%83%AA/index.xml" rel="self" type="application/rss+xml"/><item><title>ローカルLLM環境の選び方と比較：Ollamaで満足できない人のためのGPU・Mac選定ガイド</title><link>https://ai.negi-lab.com/posts/local-llm-hardware-selection-guide-rtx-mac/</link><pubDate>Wed, 09 Sep 2026 00:00:00 +0900</pubDate><guid>https://ai.negi-lab.com/posts/local-llm-hardware-selection-guide-rtx-mac/</guid><description>Ollamaの手軽さは魅力だが、コンテキスト長の制限や最適化の甘さが実務の壁になることを理解すべき。。結論、VRAM 16GB（RTX 4060 Ti）が...</description></item></channel></rss>