This video is a fun way to visualize the difference between a CPU and GPU.

Don’t let the 𝐆 in GPU (𝐆𝐫𝐚𝐩𝐡𝐢𝐜𝐬 Processing Unit) fool you. GPUs were originally built for video and graphics processing, but they have ended up being the processor of choice for generative AI and remain the primary processors for GenAI pre-training and inference.

However, that should change as specialized options such as TPUs (Tensor Processing Units) and AI accelerators are emerging to replace GPUs. These chips are designed specifically for AI workloads, offering even greater performance and efficiency.

TPUs, developed by Google, are custom-built chips optimized for machine learning tasks, while AI accelerators are specialized hardware designed to speed up AI computations.

Who knows, maybe we’ll see the Mythbusters guys create a live illustration of TPUs or other AI chips in one of their future experiments.


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