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Here are two differences between CPU and GPU inference.
One is the primary execution model. CPUs are designed for low-latency, sequential processing of complex logic, while GPUs excel at massively parallel execution of simpler, identical operations.
Another difference lies in memory architecture. CPUs typically have smaller, faster caches optimized for temporal locality, whereas GPUs feature massive, high-bandwidth memory (like HBM or GDDR) designed to feed thousands of cores simultaneously.
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