Description
Adds CUDA GPU support to Numba so Python code can compile selected functions for NVIDIA GPUs. It helps numerical and scientific workloads use GPU acceleration from Python.
GPU kernels can consume shared hardware resources and may fail differently from CPU code. Validate results, memory use, and device compatibility before relying on accelerated output.