RapidsMPF

Collection of multi-GPU, distributed memory algorithms. RapidsMPF provides a unified framework for asynchronous, multi-GPU pipelines using simple streaming primitives built on RAPIDS components.

Documentation

Build from Source

git clone https://github.com/rapidsai/rapidsmpf.git
cd rapidsmpf
mamba env create --name rapidsmpf-dev --file conda/environments/all_cuda-133_arch-$(uname -m).yaml
./build.sh

See the Getting Started guide for debug builds, AddressSanitizer, MPI/UCX test suites, and rrun launcher details.

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rapidsmpf_cu12-26.8.0-cp311-abi3-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (2.8 MB view details)

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Download URL: rapidsmpf_cu12-26.8.0-cp311-abi3-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Upload date: Aug 6, 2026
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Tags: CPython 3.11+, manylinux: glibc 2.24+ ARM64, manylinux: glibc 2.28+ ARM64
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