In my previous video, I talked about why CPUs cannot have thousands of cores. While this is true, due to thermal, electrical, and memory limitations, alot of the comments in the video were about how CPU's have thousands of cores. In this video, we discuss the subtle differences in GPU microarchitecture, which makes CUDA "cores" and CPU cores significantly different. CPU cores are heavy computing machines, that are able to process arbitrary input from users using arbitrary programs. Because of this, CPUs are more generalized. GPUs on the other hand, are good at one thing: bulk processing on bulk data. 🏫 COURSES 🏫 https://www.udemy.com/course/c-programming-101-for-aspiring-embedded-developers 🔥🔥🔥 SOCIALS 🔥🔥🔥 Low Level Merch!: https://www.linktr.ee/lowlevellearning Follow me on Twitter: https://twitter.com/LowLevelTweets Follow me on Twitch: https://twitch.tv/lowlevellearning Join me on Discord!: https://discord.gg/gZhRXDdBYY