cuPyNumeric is a GPU-accelerated, distributed NumPy-compatible array library built on the NVIDIA Legate framework. It provides a drop-in replacement for NumPy that scales across multiple GPUs and nodes, implementing a broad subset of NumPy's API including array creation, manipulation, linear algebra (Cholesky, QR, SVD, solve, eig), FFT, random number generation, sorting, statistics, and advanced indexing. The architecture uses a Python frontend with a C++ backend where each operation is a Legate task with CPU, OpenMP, and GPU variants. The library is explicitly end-of-life (final release v26.06.01) and recommends alternatives like cuPyNumeric's successor or direct use of Legate. Despite its deprecated status, the codebase demonstrates strong engineering with a clean task-based architecture, extensive integration tests, and reusable patterns such as a benchmarking harness, strategy-based indexing dispatch, and a settings framework. However, it suffers from many known NumPy incompatibilities (marked as xfail tests), incomplete features, and tight coupling to the Legate runtime.