Dask-CUDA

Dask-CUDA is a Python library providing utilities to facilitate interactions between Dask and NVIDIA CUDA-enabled GPUs. It extends `dask.distributed`'s `LocalCluster` and `Worker` to manage and deploy Dask workers efficiently on GPU systems. Key features include automatic instantiation of per-GPU workers, setting CPU affinity for optimal performance, and robust GPU memory management, including spilling to host memory. It is a core component of the RAPIDS suite for GPU-accelerated data science. The library maintains an active development status with regular releases, currently at version 26.4.0.