Tuning

• Add an optional "doctor" mode, that will detect some common anti-patterns causing bad performance. Enable with CUPYNUMERIC_DOCTOR=1, see https://docs.nvidia.com/cupynumeric/25.07/api/settings.html#doctor for more information.

Documentation

• A basic cuPyNumeric tutorial is available, see https://docs.nvidia.com/cupynumeric/25.07/user/tutorial.html.
• Start publishing nightly doc builds to https://nv-legate.github.io/cupynumeric.

Full Changelog: https://github.com/nv-legate/cupynumeric/compare/v25.03.02...v25.07.00

Known issues

• Multi-node runs can occasionally segfault at exit. This issue is under investigation. Preliminary investigation suggests that the issue depends on the ordering between cuPyNumeric and OpenBLAS teardown. There is no impact to the correctness of the computation and subsequent GPU usage.
• If the user explicitly forces multi-GPU execution of a sorting operation on very small arrays (about as many elements as the number of GPUs) this can result in CUDA errors. In normal conditions cuPyNumeric would not be GPU-accelerating operations of this size. A fix for this issue is in development and will be made available in an upcoming nightly build.