<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:media="http://search.yahoo.com/mrss/"><channel><title>CPU on Shaowen Chen's Website</title><link>https://www.chenshaowen.com/en/tags/cpu/</link><description>Recent content in CPU on Shaowen Chen's Website</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>&amp;copy;2016 - {year}, All Rights Reserved.</copyright><lastBuildDate>Thu, 19 Feb 2026 00:00:00 +0000</lastBuildDate><sy:updatePeriod>weekly</sy:updatePeriod><atom:link href="https://www.chenshaowen.com/en/tags/cpu/atom.xml" rel="self" type="application/rss+xml"/><item><title>MinIO Infrastructure Selection and Optimization</title><link>https://www.chenshaowen.com/en/blog/minio-infrastructure-selection-and-optimization.html</link><pubDate>Thu, 19 Feb 2026 00:00:00 +0000</pubDate><atom:modified>Thu, 19 Feb 2026 00:00:00 +0000</atom:modified><guid>https://www.chenshaowen.com/en/blog/minio-infrastructure-selection-and-optimization.html</guid><description>1. Hardware 1.1 CPU Support for AVX/AVX-512, used for erasure coding computation and SIMD operations Support for AES-NI, used for object encryption Total storage per node Recommended vCPU count Up to 1 TB 8 Up to 10 TB 16 Up to 100 TB 32 Up to 1 PB 64 More</description><dc:creator>微信公众号</dc:creator><category>MinIO</category><category>Storage</category><category>Disk</category><category>CPU</category><category>Memory</category><category>Network</category><category>Tuning</category></item><item><title>From CPU to Network: A Record of Troubleshooting Application Slowness</title><link>https://www.chenshaowen.com/en/blog/record-a-troubleshooting-process-for-application-slowness.html</link><pubDate>Wed, 08 Nov 2023 00:00:00 +0000</pubDate><atom:modified>Wed, 08 Nov 2023 00:00:00 +0000</atom:modified><guid>https://www.chenshaowen.com/en/blog/record-a-troubleshooting-process-for-application-slowness.html</guid><description>1. Symptoms The business side reported that the API of application app-a was slow. Looking at the logs, one particular Pod was slow, and deleting that Pod so it moved to another node fixed it.
From the monitoring metrics you can see that the Pod&amp;rsquo;s CPU usage did indeed spike sharply.</description><dc:creator>微信公众号</dc:creator><category>CPU</category><category>Network</category><category>Application</category><category>Troubleshooting</category><category>Kubernetes</category><category>Operations</category></item><item><title>Running llama-Architecture LLMs on CPU</title><link>https://www.chenshaowen.com/en/blog/how-to-run-llama-on-cpu.html</link><pubDate>Sat, 16 Sep 2023 00:00:00 +0000</pubDate><atom:modified>Sat, 16 Sep 2023 00:00:00 +0000</atom:modified><guid>https://www.chenshaowen.com/en/blog/how-to-run-llama-on-cpu.html</guid><description>1. Running Locally in Containers Start the LLM 1 docker run --security-opt apparmor=unconfined --security-opt seccomp=unconfined --rm -p 8000:8000 shaowenchen/chinese-alpaca-2-7b-gguf:Q2_K The API documentation is available at http://localhost:8000/docs, as shown below:
Deploy a simple Chat UI Note that the OPENAI_API_HOST parameter must be set to your host machine&amp;rsquo;s IP address rather than localhost or 127.</description><dc:creator>微信公众号</dc:creator><category>CPU</category><category>LLM</category><category>AI</category><category>Inference</category><category>Operations</category></item></channel></rss>