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dask-cuda
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Utilities for Dask and CUDA interactions
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Download README
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dask-cuda
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Dask CUDA ========= Various utilities to improve deployment and management of Dask workers on CUDA-enabled systems. This library is experimental, and its API is subject to change at any time without notice. Example ------- ```python from dask_cuda import LocalCUDACluster from dask.distributed import Client cluster = LocalCUDACluster() client = Client(cluster) ``` Documentation is available [here](https://docs.rapids.ai/api/dask-cuda/nightly/). What this is not ---------------- This library does not automatically convert your Dask code to run on GPUs. It only helps with deployment and management of Dask workers in multi-GPU systems. Parallelizing GPU libraries like [RAPIDS](https://rapids.ai) and [CuPy](https://cupy.chainer.org) with Dask is an ongoing effort. You may wish to read about this effort at [blog.dask.org](https://blog.dask.org) for more information. Additional information about Dask-CUDA can also be found in the [docs](https://docs.rapids.ai/api/dask-cuda/nightly/).
