Description
GPU-accelerated graph analytics can be used from Python through the RAPIDS cuGraph package. This is useful for data scientists who need graph algorithms on larger datasets than CPU-only tools can handle comfortably.
It is a Python library, not a complete analytics application. Projects need compatible CUDA, RAPIDS versions, NVIDIA drivers, and enough GPU memory.