1 file was added to this release more than 14 days after its initial publication. Inspect the release files before installing.
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.
Metadata
Release files for dask-cuda 24.4.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| dask_cuda-24.4.0.tar.gz | 1.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dask_cuda-24.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 128.0 kB
Release files / dask_cuda-24.4.0.tar.gz
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| Download URL | dask_cuda-24.4.0.tar.gz |
|---|---|
| Size | 1.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.12
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Release files / dask_cuda-24.4.0-py3-none-any.whl
| Download URL | dask_cuda-24.4.0-py3-none-any.whl |
|---|---|
| Size | 126.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.12
|
Security for dask-cuda 24.4.0
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