<ul data-eligibleForWebStory="false"><li>GPUs are able to process AI tasks faster than CPUs due to their specialization in handling repetitive mathematical calculations efficiently.</li><li>CPUs are optimized for complex decision-making, while GPUs excel at performing a large amount of repetitive calculations quickly.</li><li>While GPUs may seem like cheat codes for AI because of their speed, they can be overkill for some applications, like small-batch inference problems.</li><li>CPUs still shine in handling small, fast tasks and can be preferred over GPUs for simpler tasks where complexity or costs of GPU usage are not justified.</li></ul>

What Makes GPUs So Fast at AI (And Why CPUs Struggle to Keep Up)

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