Description
Lets Python code compile and run CUDA kernels on Nvidia GPUs. It helps scientific computing, machine learning, simulation, and high-performance workloads use GPU acceleration directly from Python.
GPU code can consume large amounts of memory and affect system responsiveness. Use compatible Nvidia drivers, validate kernel inputs, and test resource limits before running heavy workloads.