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CPU vs. GPU, Tech Career, CPUs and GPUs, Roles in Networking, AI The provided text offers a comprehensive comparison between Central Processing Units (CPUs) and Graphics Processing Units (GPUs), explaining their architectural differences and primary use cases. It highlights GPUs' superior parallel processing capabilities, making them increasingly preferred over CPUs for AI, machine learning, and graphics rendering due to their ability to handle large datasets and complex computations much faster. The document also details the advantages of GPUs in AI, such as accelerating neural network training and providing optimized frameworks. Finally, it discusses the practical implications of both technologies for networking and Linux job roles, including troubleshooting advice and key interview points for professionals working with these systems. Central Processing Units, CPU, Graphics Processing Units, GPUs,