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

from dask_cuda import LocalCUDACluster
from dask.distributed import Client

cluster = LocalCUDACluster()
client = Client(cluster)

Documentation is available here.

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 and
CuPy with Dask is an ongoing effort. You may wish
to read about this effort at blog.dask.org for more
information. Additional information about Dask-CUDA can also be found in the
docs.