Numba

optimize-for-gpu helps turn CPU-bound Python into NVIDIA GPU code with the right library choice. Use it for arrays, dataframes, ML pipelines, graph analytics, imaging, geospatial work, vector search, and custom kernels. It guides CuPy, cuDF, cuML, cuGraph, cuCIM, cuVS, KvikIO, Numba CUDA, and Warp decisions with practical optimize-for-gpu usage and migration advice.