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Differences Between CPU Inference and GPU Inference

Inference refers to the process of using a trained model to make predictions on new data. Both CPUs (Central Processing Units) and GPUs (Graphics Processing Units) can be used for inference, but they have distinct characteristics and advantages. Let’s delve into the differences between CPU inference and GPU inference.


1. Architecture and Design

2. Performance

3. Precision and Accuracy

4. Energy Efficiency

5. Use Cases


Conclusion

Both CPU and GPU inference have their unique advantages and are suited for different types of tasks.

           

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