<?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>RTX 4060 Ti 16GB ローカルLLM on Negi AI Lab</title><link>https://ai.negi-lab.com/tags/rtx-4060-ti-16gb-%E3%83%AD%E3%83%BC%E3%82%AB%E3%83%ABllm/</link><description>Recent content in RTX 4060 Ti 16GB ローカルLLM 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, 07 Oct 2026 19:09:46 +0900</lastBuildDate><atom:link href="https://ai.negi-lab.com/tags/rtx-4060-ti-16gb-%E3%83%AD%E3%83%BC%E3%82%AB%E3%83%ABllm/index.xml" rel="self" type="application/rss+xml"/><item><title>ローカルLLM用GPUの選び方｜VRAM 54GBが35ドル？現実的なコスパ最強構成を比較</title><link>https://ai.negi-lab.com/posts/local-llm-gpu-vram-comparison-guide/</link><pubDate>Wed, 07 Oct 2026 00:00:00 +0900</pubDate><guid>https://ai.negi-lab.com/posts/local-llm-gpu-vram-comparison-guide/</guid><description>結論：実務でLlama 3.1（8B）やQwen2.5を快適に回すなら、VRAM 16GB以上のRTX 4060 Tiか3090中古が最適解。。判断軸：個...</description></item></channel></rss>