What are the differences between Python with CUDA and CPU?
Python with CUDA leverages GPU acceleration for parallel processing, while CPU executes tasks sequentially.
When should I use CUDA over CPU?
Use CUDA for tasks that require heavy computation and can be parallelized, like deep learning or large data processing.
Are there any downsides to using CUDA?
Yes, CUDA requires a compatible NVIDIA GPU and has a steeper learning curve compared to CPU programming.
Can I use CUDA with any Python libraries?
Many libraries like TensorFlow and PyTorch support CUDA, but you need to ensure compatibility with your GPU.
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