build with cuda 13

This commit is contained in:
2026-04-15 10:15:23 +00:00
commit 787fec3a27
2 changed files with 79 additions and 0 deletions

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FROM vllm/vllm-openai:v0.19.0-cu130
# Install LMCache for KV cache offloading / sharing across nodes
# Build with system CUDA 13.0 for Blackwell (B200)
RUN apt-get update && apt-get install -y git \
libcusolver-dev-13-0 \
libcusparse-dev-13-0 \
libcublas-dev-13-0 \
libcurand-dev-13-0 \
libcufft-dev-13-0 \
libnvjitlink-dev-13-0 && \
git clone --depth 1 https://github.com/LMCache/LMCache.git /tmp/lmcache && \
cd /tmp/lmcache && \
CUDA_HOME=/usr/local/cuda \
TORCH_CUDA_ARCH_LIST="10.0" \
pip install --no-cache-dir --no-build-isolation . && \
rm -rf /tmp/lmcache

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pipeline {
agent any
environment {
REGISTRY = 'atl.vultrcr.com/vllm'
IMAGE_NAME = 'vllm-with-lmcache'
}
parameters {
string(name: 'IMAGE_TAG', defaultValue: 'v0.19.0', description: 'Docker image tag')
string(name: 'GIT_REPO', defaultValue: 'https://sweetapi.com/biondizzle/vllm-with-lmcache.git', description: 'Git repository URL (optional, uses workspace if empty)')
string(name: 'GIT_BRANCH', defaultValue: 'master', description: 'Git branch to build')
string(name: 'BASE_IMAGE', defaultValue: 'vllm/vllm-openai:v0.19.0', description: 'Base Docker image')
}
stages {
stage('Checkout') {
steps {
script {
if (params.GIT_REPO) {
git url: params.GIT_REPO, branch: params.GIT_BRANCH
}
// Otherwise use workspace already checked out
}
}
}
stage('Build') {
steps {
script {
docker.withRegistry("https://${REGISTRY}", 'ATL_VCR_VLLM') {
sh """
docker build \
--build-arg BASE_IMAGE=${params.BASE_IMAGE} \
-t ${REGISTRY}/${IMAGE_NAME}:${params.IMAGE_TAG} \
.
"""
}
}
}
}
stage('Push') {
steps {
script {
docker.withRegistry("https://${REGISTRY}", 'ATL_VCR_VLLM') {
docker.image("${REGISTRY}/${IMAGE_NAME}:${params.IMAGE_TAG}").push()
}
}
}
}
}
post {
success {
echo "✅ Image pushed: ${REGISTRY}/${IMAGE_NAME}:${params.IMAGE_TAG}"
}
failure {
echo "❌ Build failed"
}
}
}