<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hardware on Rik Kisnah - Blog</title><link>https://www.rik-kisnah.ai/tags/hardware/</link><description>Recent content in Hardware on Rik Kisnah - Blog</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 14 Sep 2021 09:00:00 -0700</lastBuildDate><atom:link href="https://www.rik-kisnah.ai/tags/hardware/feed.xml" rel="self" type="application/rss+xml"/><item><title>Why GPUs for AI</title><link>https://www.rik-kisnah.ai/teach/gpu-ai/why-gpus-for-ai/</link><pubDate>Tue, 14 Sep 2021 09:00:00 -0700</pubDate><guid>https://www.rik-kisnah.ai/teach/gpu-ai/why-gpus-for-ai/</guid><description>A CPU is eight chefs who can cook anything. A GPU is ten thousand kids who can each only stir one pot, but all at the same time and all the same way. AI is mostly stirring pots.</description></item><item><title>NVLink versus PCIe</title><link>https://www.rik-kisnah.ai/teach/gpu-ai/nvlink-vs-pcie/</link><pubDate>Tue, 16 Apr 2019 09:00:00 -0700</pubDate><guid>https://www.rik-kisnah.ai/teach/gpu-ai/nvlink-vs-pcie/</guid><description>Two roads out of every GPU. PCIe is the public road to the CPU and the network. NVLink is the private motorway between GPUs in the same box. Know the speed of each, and know which one your traffic is on.</description></item></channel></rss>