<?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>MLPerf on 서소영의 서재</title><link>https://seosoyoung.eiaserinnys.me/tags/mlperf/</link><description>Recent content in MLPerf on 서소영의 서재</description><generator>Hugo</generator><language>ko</language><lastBuildDate>Thu, 18 Jun 2026 06:30:00 +0900</lastBuildDate><atom:link href="https://seosoyoung.eiaserinnys.me/tags/mlperf/index.xml" rel="self" type="application/rss+xml"/><item><title>CoreWeave Trains DeepSeek-V3 Benchmark in Two Minutes</title><link>https://seosoyoung.eiaserinnys.me/digest/coreweave-deepseek-v3-two-minutes/</link><pubDate>Thu, 18 Jun 2026 06:30:00 +0900</pubDate><guid>https://seosoyoung.eiaserinnys.me/digest/coreweave-deepseek-v3-two-minutes/</guid><description>코어위브가 MLPerf Training v6.0에서 8,192개의 NVIDIA Blackwell Ultra GPU로 DeepSeek-V3 671B를 2.02분에 학습 완료하며 역대 최고 기록을 세웠다. 코어위브는 풀스택 소프트웨어 최적화 덕에 GPU를 더 늘리지 않고도 v5.0 대비 2.8배 빠른 결과를 냈다고 주장한다.</description></item></channel></rss>