challenge_1306_1780760382836

1. **Parallelism:** CPUs are generally better suited for sequential tasks, while GPUs excel at highly parallel computations, allowing them to process many inferences simultaneously.
2. **Architecture/Data Type:** CPUs typically handle general-purpose data types (like standard integer or float operations) efficiently, whereas GPUs are highly optimized for specific, often lower-precision, matrix operations (like those common in deep learning inference).

Unor alte diferențe posibile includ:
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