dgx-spark-playbooks/nvidia/txt2kg/assets/deploy/services/vllm/build_image.sh
2025-10-06 17:05:41 +00:00

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#!/bin/bash
# Use latest stable vLLM release for better compute capability 12.1 support
# Clone the vLLM GitHub repo and use latest stable release.
git clone https://github.com/vllm-project/vllm.git /tmp/vllm-tutorial
cd /tmp/vllm-tutorial
git checkout $(git describe --tags --abbrev=0)
# Build the docker image using official vLLM Dockerfile.
DOCKER_BUILDKIT=1 docker build . \
--file docker/Dockerfile \
--target vllm-openai \
--build-arg CUDA_VERSION=12.8.1 \
--build-arg max_jobs=8 \
--build-arg nvcc_threads=2 \
--build-arg RUN_WHEEL_CHECK=false \
--build-arg torch_cuda_arch_list="10.0+PTX;12.1" \
--build-arg vllm_fa_cmake_gpu_arches="100-real;121-real" \
-t vllm/vllm-openai:deploy
# Clean up
cd /
rm -rf /tmp/vllm-tutorial