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+# Qwen3.5
+
+## Environment Preparation
+
+### Installation
+
+The dependencies required for the NPU runtime environment have been integrated into a Docker image and uploaded to the quay.io platform. You can directly pull it.
+
+```{code-block} bash
+#Atlas 800 A3
+docker pull swr.cn-southwest-2.myhuaweicloud.com/base_image/dockerhub/lmsysorg/sglang:cann8.5.0-a3-qwen35
+#Atlas 800 A2
+docker pull swr.cn-southwest-2.myhuaweicloud.com/base_image/dockerhub/lmsysorg/sglang:cann8.5.0-910b-qwen35
+
+#start container
+docker run -itd --shm-size=16g --privileged=true --name ${NAME} \
+--privileged=true --net=host \
+-v /var/queue_schedule:/var/queue_schedule \
+-v /etc/ascend_install.info:/etc/ascend_install.info \
+-v /usr/local/sbin:/usr/local/sbin \
+-v /usr/local/Ascend/driver:/usr/local/Ascend/driver \
+-v /usr/local/Ascend/firmware:/usr/local/Ascend/firmware \
+--device=/dev/davinci0:/dev/davinci0  \
+--device=/dev/davinci1:/dev/avinci1  \
+--device=/dev/davinci2:/dev/davinci2  \
+--device=/dev/davinci3:/dev/davinci3  \
+--device=/dev/davinci4:/dev/davinci4  \
+--device=/dev/davinci5:/dev/davinci5  \
+--device=/dev/davinci6:/dev/davinci6  \
+--device=/dev/davinci7:/dev/davinci7  \
+--device=/dev/davinci8:/dev/davinci8  \
+--device=/dev/davinci9:/dev/davinci9  \
+--device=/dev/davinci10:/dev/davinci10  \
+--device=/dev/davinci11:/dev/davinci11  \
+--device=/dev/davinci12:/dev/davinci12  \
+--device=/dev/davinci13:/dev/davinci13  \
+--device=/dev/davinci14:/dev/davinci14  \
+--device=/dev/davinci15:/dev/davinci15  \
+--device=/dev/davinci_manager:/dev/davinci_manager \
+--device=/dev/hisi_hdc:/dev/hisi_hdc \
+--entrypoint=bash \
+swr.cn-southwest-2.myhuaweicloud.com/base_image/dockerhub/lmsysorg/sglang:${TAG}
+```
+
+## Deployment
+
+### Single-node Deployment
+
+- Quantized model `qwen35_w8a8` can be deployed on 1 Atlas 800 A3 (64G × 16) .
+
+Run the following script to execute online inference.
+
+```shell
+# high performance cpu
+echo performance | tee /sys/devices/system/cpu/cpu*/cpufreq/scaling_governor
+sysctl -w vm.swappiness=0
+sysctl -w kernel.numa_balancing=0
+sysctl -w kernel.sched_migration_cost_ns=50000
+# bind cpu
+export SGLANG_SET_CPU_AFFINITY=1
+
+unset https_proxy
+unset http_proxy
+unset HTTPS_PROXY
+unset HTTP_PROXY
+unset ASCEND_LAUNCH_BLOCKING
+# cann
+source /usr/local/Ascend/ascend-toolkit/set_env.sh
+source /usr/local/Ascend/nnal/atb/set_env.sh
+
+export STREAMS_PER_DEVICE=32
+export SGLANG_DISAGGREGATION_BOOTSTRAP_TIMEOUT=600
+export SGLANG_ENABLE_SPEC_V2=1
+export SGLANG_ENABLE_OVERLAP_PLAN_STREAM=1
+export SGLANG_NPU_USE_MULTI_STREAM=1
+export HCCL_BUFFSIZE=1000
+export HCCL_OP_EXPANSION_MODE=AIV
+export HCCL_SOCKET_IFNAME=lo
+export GLOO_SOCKET_IFNAME=lo
+
+python3 -m sglang.launch_server \
+        --model-path $MODEL_PATH \
+        --attention-backend ascend \
+        --device npu \
+        --tp-size 16 --nnodes 1 --node-rank 0 \
+        --chunked-prefill-size 16384 --max-prefill-tokens 280000 \
+        --trust-remote-code \
+        --host 127.0.0.1 \
+        --mem-fraction-static 0.7 \
+        --port 8000 \
+        --cuda-graph-bs 16 \
+        --quantization modelslim \
+        --enable-multimodal \
+        --mm-attention-backend ascend_attn \
+        --dtype bfloat16
+```
+
+### Prefill-Decode Disaggregation
+
+Not test yet.
+
+### Using Benchmark
+
+Refer to [Benchmark and Profiling](../developer_guide/benchmark_and_profiling.md) for details.