NVIDIA 发布 CUDA Python 1.0，提供稳定 API 与完整平台访问
CUDA Python 1.0: Stable APIs, One Foundation, Full Platform Access
NVIDIA 发布 CUDA Python 1.0，主打稳定 API、统一基础和完整平台访问。此前 Python 开发者用 GPU 只有两条路：自己写 CUDA C++ 扩展并维护绑定，或依赖 PyTorch、CuPy、RAPIDS 等上层库，后者虽支撑起 Python GPU 生态但存在局限。
For years, a Python developer who needed a GPU had two realistic choices: Learn NVIDIA CUDA C++ well enough to write an extension, set up a build toolchain, and...
For years, a Python developer who needed a GPU had two realistic choices: Learn NVIDIA CUDA C++ well enough to write an extension, set up a build toolchain, and maintain bindings back to Python, which most people never did; or move up the stack and let someone else’s library do it, namely PyTorch, CuPy, or RAPIDS. The second option is why the Python GPU ecosystem thrives. But it has limits.
来源：NVIDIA Developer Blog · developer.nvidia.com