<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/442449d87f014c9381ba8765a9461aa7&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/442449d87f014c9381ba8765a9461aa7-ecc6c2c31ef4ab9f.gif</thumbnail_url><duration>300.124</duration><title>Understanding Data Center Emissions: A Detailed Analysis 🌍</title><description>In this video, I delve into the fluctuations of data center load over a day, using an indicative model to illustrate how power usage varies based on cooling needs and IT load. I also highlight the importance of carbon intensity, specifically looking at Germany&apos;s grid on August 4, 2025, where the monthly carbon intensity was 282 grams of CO2 per kilowatt-hour. By comparing monthly and hourly emissions factors, I demonstrate how insights can vary significantly, emphasizing the need for granular data. I encourage you to revisit the first lesson for further details and insights on this topic.</description></oembed>