This is a beta release of cuPyNumeric.

Pip wheels are available on PyPI at https://pypi.org/project/nvidia-cupynumeric/, for Linux (x86-64 and ARM64, with CUDA and multi-node support) and macOS (for ARM64). Conda packages are available at https://anaconda.org/legate/cupynumeric, for Linux (x86-64 and ARM64, with CUDA and multi-node support). GASNet-based (rather than UCX-based) conda packages are under the gex label. Windows is currently supported through WSL.

Documentation for this release can be found at https://docs.nvidia.com/cupynumeric/25.10/.

Highlights

Added functionality

• Implement cupynumeric.in1d.
• Add DLPack import/export support to cuPyNumeric ndarrays.
• Allow batched input for cupynumeric.linalg.solve.

Performance improvements

• Optimized implementation for the special axis= case of cupynumeric.take.
• Improve heuristics for choosing between batched and unbatched matrix multiplication.
• Improved implementation of cupynumeric.nonzero that uses no additional scratch space.