What are the differences between CuPy and NumPy?
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What are the differences between CuPy and NumPy?
CuPy is designed for GPU acceleration, while NumPy is optimized for CPU. CuPy can handle larger datasets faster.
Can I use CuPy as a drop-in replacement for NumPy?
Yes, many NumPy functions are available in CuPy, but some may have different implementations or limitations.
What are the performance benefits of using CuPy?
CuPy can significantly speed up computations, especially for large arrays and operations that can be parallelized on a GPU.
Are there any downsides to using CuPy?
CuPy requires a compatible NVIDIA GPU and may have a steeper learning curve for those unfamiliar with GPU programming.
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