challenge_7046_1780659991612

1. **Parallelism:** CPUs excel at serial processing of complex logic, while GPUs are inherently designed for massive parallel computation, making GPU inference much faster for tasks that can be parallelized.
2. **Core Architecture:** CPUs have a smaller number of powerful cores optimized for low-latency sequential tasks, whereas GPUs have thousands of simpler, smaller cores optimized for throughput (handling many simple operations simultaneously).

Un alt aspect important este **Memory Access Patterns**. CPUs rely heavily on cache