mirror of https://github.com/vllm-project/vllm.git
2.3 KiB
2.3 KiB
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vLLM has experimental support for s390x architecture on IBM Z platform. For now, users shall build from the vLLM source to natively run on IBM Z platform.
Currently the CPU implementation for s390x architecture supports FP32 datatype only.
!!! warning There are no pre-built wheels or images for this device, so you must build vLLM from source.
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--8<-- [start:requirements]
- OS:
Linux
- SDK:
gcc/g++ >= 12.3.0
or later with Command Line Tools - Instruction Set Architecture (ISA): VXE support is required. Works with Z14 and above.
- Build install python packages:
pyarrow
,torch
andtorchvision
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--8<-- [start:set-up-using-python]
--8<-- [end:set-up-using-python]
--8<-- [start:pre-built-wheels]
--8<-- [end:pre-built-wheels]
--8<-- [start:build-wheel-from-source]
Install the following packages from the package manager before building the vLLM. For example on RHEL 9.4:
dnf install -y \
which procps findutils tar vim git gcc g++ make patch make cython zlib-devel \
libjpeg-turbo-devel libtiff-devel libpng-devel libwebp-devel freetype-devel harfbuzz-devel \
openssl-devel openblas openblas-devel wget autoconf automake libtool cmake numactl-devel
Install rust>=1.80 which is needed for outlines-core
and uvloop
python packages installation.
curl https://sh.rustup.rs -sSf | sh -s -- -y && \
. "$HOME/.cargo/env"
Execute the following commands to build and install vLLM from the source.
!!! tip
Please build the following dependencies, torchvision
, pyarrow
from the source before building vLLM.
sed -i '/^torch/d' requirements-build.txt # remove torch from requirements-build.txt since we use nightly builds
pip install -v \
--extra-index-url https://download.pytorch.org/whl/nightly/cpu \
-r requirements-build.txt \
-r requirements-cpu.txt \
VLLM_TARGET_DEVICE=cpu python setup.py bdist_wheel && \
pip install dist/*.whl