# Multi XPU (GLM-5-W8A8-INT8) ## Run vllm-kunlun on Multi XPU Setup environment using container: Please follow the [installation.md](../installation.md) document to set up the environment first. Create a container ```bash # !/bin/bash # rundocker.sh XPU_NUM=8 DOCKER_DEVICE_CONFIG="" if [ $XPU_NUM -gt 0 ]; then for idx in $(seq 0 $((XPU_NUM-1))); do DOCKER_DEVICE_CONFIG="${DOCKER_DEVICE_CONFIG} --device=/dev/xpu${idx}:/dev/xpu${idx}" done DOCKER_DEVICE_CONFIG="${DOCKER_DEVICE_CONFIG} --device=/dev/xpuctrl:/dev/xpuctrl" fi export build_image="xxx" docker run -itd ${DOCKER_DEVICE_CONFIG} \ --net=host \ --cap-add=SYS_PTRACE --security-opt seccomp=unconfined \ --tmpfs /dev/shm:rw,nosuid,nodev,exec,size=32g \ --cap-add=SYS_PTRACE \ -v /home/users/vllm-kunlun:/home/vllm-kunlun \ -v /usr/local/bin/xpu-smi:/usr/local/bin/xpu-smi \ --name "$1" \ -w /workspace \ "$build_image" /bin/bash ``` ### Preparation Weight - Pull GLM-5-W8A8-INT8 weights ``` wget -O GLM-5-W8A8-INT8-Dynamic.tar.gz https://aihc-private-hcd.bj.bcebos.com/LLM/AICapX-Quant-Models/GLM-5-W8A8-INT8-Dynamic.tar.gz ``` ### Online Serving on Multi XPU Start the vLLM server on multi XPU: ```bash unset XPU_DUMMY_EVENT && \ export XPU_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 && \ export XMLIR_CUDNN_ENABLED=1 && \ export XPU_USE_DEFAULT_CTX=1 && \ export XMLIR_FORCE_USE_XPU_GRAPH=1 && \ export XMLIR_ENABLE_FAST_FC=1 && \ export XPU_USE_FAST_SWIGLU=1 && \ export CUDA_GRAPH_OPTIMIZE_STREAM=1 && \ export XMLIR_ENABLE_MOCK_TORCH_COMPILE=false && \ export XPU_USE_MOE_SORTED_THRES=1 && \ export USE_ORI_ROPE=1 && \ export VLLM_USE_V1=1 python -m vllm.entrypoints.openai.api_server \ --host 0.0.0.0 \ --port 8806 \ --model GLM-5-W8A8-INT8-Dynamic \ --gpu-memory-utilization 0.97 \ --trust-remote-code \ --max-model-len 32768 \ --tensor-parallel-size 8 \ --dtype bfloat16 \ --max_num_seqs 8 \ --max_num_batched_tokens 8192 \ --block-size 64 \ --no-enable-chunked-prefill \ --distributed-executor-backend mp \ --disable-log-requests \ --no-enable-prefix-caching \ --kv-cache-dtype bfloat16 \ --compilation-config '{ "splitting_ops":[ "vllm.unified_attention", "vllm.unified_attention_with_output", "vllm.unified_attention_with_output_kunlun", "vllm.mamba_mixer2", "vllm.mamba_mixer", "vllm.short_conv", "vllm.linear_attention", "vllm.plamo2_mamba_mixer", "vllm.gdn_attention", "vllm.sparse_attn_indexer", "vllm.sparse_attn_indexer_vllm_kunlun" ]}' ```