Skip to main content

Utilities for Dask and CUDA interactions

Project description



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.


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 for more information. Additional information about Dask-CUDA can also be found in the docs.

Project details

Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for dask-cuda, version 0.18.0
Filename, size File type Python version Upload date Hashes
Filename, size dask_cuda-0.18.0-py3-none-any.whl (67.6 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size dask-cuda-0.18.0.tar.gz (66.4 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page