CuPy lets you run NumPy and SciPy code on GPUs for faster Python computing, supporting both NVIDIA CUDA and AMD ROCm for easy acceleration.
Accelerate Python code with GPU power
CuPy is a Python library designed to make GPU-accelerated computing accessible for everyone familiar with NumPy and SciPy. With CuPy, you can run your existing Python code on GPUs, taking advantage of NVIDIA CUDA or AMD ROCm hardware for a big speed boost—no need to change your workflow.
Whether you're working in scientific research, data analysis, or machine learning, CuPy lets you write code that feels just like NumPy and SciPy, but runs much faster. The site offers helpful resources like documentation, video tutorials, and a direct link to its GitHub project so you can get started quickly. If you're looking to speed up your Python projects without steep learning curves, CuPy is a practical tool to explore.
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