CUDA Python 1.0: Stable APIs, One Foundation, Full Platform Access | NVIDIA Technical Blog

CUDA Python 1.0 establishes a stable, unified foundation (`cuda.core`) for accessing the CUDA platform from Python. It introduces semantic versioning for key components (`cuda.core`, `cuda.compute`, `nvmath-python`), ensuring predictable API stability. `cuda.compute` exposes CCCL parallel algorithms as host-callable functions, and `cuda.bindings` provides 1:1 coverage of CUDA C APIs. This unified foundation improves interoperation between libraries like CuPy, PyTorch, and NVIDIA's own math/communication libraries, and provides easier access to advanced CUDA features like green contexts.