<?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>입문 on PGX Lab — local AI 클러스터 기록</title><link>https://pgxlab.github.io/pgx-blog/tags/%EC%9E%85%EB%AC%B8/</link><description>Recent content in 입문 on PGX Lab — local AI 클러스터 기록</description><generator>Hugo</generator><language>ko-kr</language><lastBuildDate>Tue, 01 Sep 2026 09:00:00 +0900</lastBuildDate><atom:link href="https://pgxlab.github.io/pgx-blog/tags/%EC%9E%85%EB%AC%B8/index.xml" rel="self" type="application/rss+xml"/><item><title>작은 GPU 컴퓨터 4대로 대형 AI 모델 돌리기 — 비전문가용 구축기</title><link>https://pgxlab.github.io/pgx-blog/posts/2026-09-01-dgx-spark-cluster-easy/</link><pubDate>Tue, 01 Sep 2026 09:00:00 +0900</pubDate><guid>https://pgxlab.github.io/pgx-blog/posts/2026-09-01-dgx-spark-cluster-easy/</guid><description>DGX Spark 4대를 200G 네트워크로 묶어 320B 모델(GLM-5.3-Flash)을 서빙하기까지, 용어 사전과 함께 쉽게 풀어 쓴 기록</description></item></channel></rss>