Install this version:
emerge -a =dev-python/dask-cuda-26.10.0
If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =dev-python/dask-cuda-26.10.0
Or alternatively:
emerge --autounmask-write -a =dev-python/dask-cuda-26.10.0
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 26.10.0 | 8 | ~amd64 | 0 |
# Copyright 1999-2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
DISTUTILS_USE_PEP517=setuptools
PYTHON_COMPAT=( python3_{12..14} )
inherit distutils-r1
# GitHub and VERSION use zero-padded 26.10.00; PyPI normalizes to ${PV}.
MY_PV="26.10.00"
DESCRIPTION="Utilities for running Dask workers on CUDA-enabled systems"
HOMEPAGE="
https://github.com/rapidsai/dask-cuda
https://pypi.org/project/dask-cuda/
"
SRC_URI="
https://github.com/rapidsai/dask-cuda/archive/refs/tags/v${MY_PV}.tar.gz
-> ${P}.gh.tar.gz
"
S="${WORKDIR}/${PN}-${MY_PV}"
LICENSE="Apache-2.0"
SLOT="0"
KEYWORDS="~amd64"
# RMM-based spilling is optional. cuda-core provides CUDA access, nvidia-ml-py
# provides telemetry, and rapids-dask-dependency supplies dask/distributed.
RDEPEND="
>=dev-python/click-8.1[${PYTHON_USEDEP}]
>=dev-python/cuda-core-0.5.1[${PYTHON_USEDEP}]
<dev-python/cuda-core-2[${PYTHON_USEDEP}]
>=dev-python/numpy-2.0[${PYTHON_USEDEP}]
<dev-python/numpy-3.0[${PYTHON_USEDEP}]
>=dev-python/nvidia-ml-py-12[${PYTHON_USEDEP}]
>=dev-python/pandas-1.3[${PYTHON_USEDEP}]
~dev-python/rapids-dask-dependency-26.10.0[${PYTHON_USEDEP}]
>=dev-python/zict-2.0.0[${PYTHON_USEDEP}]
"
BDEPEND=">=dev-python/setuptools-77.0.0[${PYTHON_USEDEP}]"
python_prepare_all() {
# Static unsuffixed deps and VERSION work without RAPIDS's CUDA-suffix wrapper.
# verified 2026-06-10
sed -i \
-e 's/build-backend = "rapids_build_backend.build"/build-backend = "setuptools.build_meta"/' \
-e '/"rapids-build-backend>=0.4.0,<0.5.0",/d' \
pyproject.toml || die
distutils-r1_python_prepare_all
}
>=dev-python/click-8.1[] >=dev-python/cuda-core-0.5.1[] <dev-python/cuda-core-2[] >=dev-python/numpy-2.0[] <dev-python/numpy-3.0[] >=dev-python/nvidia-ml-py-12[] >=dev-python/pandas-1.3[] ~dev-python/rapids-dask-dependency-26.10.0[] >=dev-python/zict-2.0.0[]
>=dev-python/setuptools-77.0.0[]
| Type | File | Size | Source URLs |
|---|---|---|---|
| DIST | dask-cuda-26.10.0.gh.tar.gz | 273165 bytes | https://github.com/rapidsai/dask-cuda/archive/refs/tags/v26.10.00.tar.gz |