NVIDIA has announced native support for Python in its CUDA toolkit, allowing developers to use Python for GPU-accelerated computing without needing to know C++ or Fortran. This integration opens CUDA to millions of Python developers, especially in emerging markets. NVIDIA has developed a Pythonic CUDA stack, which includes libraries, tools, and JIT compilation, to ensure a seamless experience. The new CuTile interface simplifies GPU programming by focusing on arrays rather than threads, making it easier for Python developers to achieve high performance.

6m read timeFrom thenewstack.io
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Native Python Opens New DoorsHow Pythonic CUDA Was BuiltThe Programming Model

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