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1. **Parallelism:** CPUs are generally better suited for sequential tasks, while GPUs excel at parallel computations, making them much faster for inference when the model operations can be parallelized.
2. **Architecture:** CPUs typically have fewer, more complex cores optimized for latency, whereas GPUs have thousands of simpler cores optimized for throughput.

De asemenea, o diferență importantă este **the data type and memory access patterns**. CPU inference often deals with smaller, less-structured