Description
NetworkX graph algorithms can run on GPU acceleration through a RAPIDS cuGraph backend. Data scientists use nx-cugraph for larger graph workloads, analytics, and accelerated experiments. GPU compatibility, memory limits, and result parity with CPU algorithms need validation.