diff --git a/docs/references/multi_node.md b/docs/references/multi_node.md
index 10ea726c1..8d5f3d4d3 100644
--- a/docs/references/multi_node.md
+++ b/docs/references/multi_node.md
@@ -23,3 +23,70 @@ python -m sglang.launch_server --model-path meta-llama/Meta-Llama-3.1-405B-Instr
 ## DeepSeek V3/R1
 
 Please refer to [DeepSeek documents for reference.](https://docs.sglang.ai/references/deepseek.html#running-examples-on-multi-node).
+
+## Multi-Node Inference on SLURM
+
+This example showcases how to serve SGLang server across multiple nodes by SLURM. Submit the following job to the SLURM cluster.
+
+```
+#!/bin/bash -l
+
+#SBATCH -o SLURM_Logs/%x_%j_master.out
+#SBATCH -e SLURM_Logs/%x_%j_master.err
+#SBATCH -D ./
+#SBATCH -J Llama-405B-Online-Inference-TP16-SGL
+
+#SBATCH --nodes=2
+#SBATCH --ntasks=2
+#SBATCH --ntasks-per-node=1  # Ensure 1 task per node
+#SBATCH --cpus-per-task=18
+#SBATCH --mem=224GB
+#SBATCH --partition="lmsys.org"
+#SBATCH --gres=gpu:8
+#SBATCH --time=12:00:00
+
+echo "[INFO] Activating environment on node $SLURM_PROCID"
+if ! source ENV_FOLDER/bin/activate; then
+    echo "[ERROR] Failed to activate environment" >&2
+    exit 1
+fi
+
+# Define parameters
+model=MODEL_PATH
+tp_size=16
+
+echo "[INFO] Running inference"
+echo "[INFO] Model: $model"
+echo "[INFO] TP Size: $tp_size"
+
+# Set NCCL initialization address using the hostname of the head node
+HEAD_NODE=$(scontrol show hostname "$SLURM_NODELIST" | head -n 1)
+NCCL_INIT_ADDR="${HEAD_NODE}:8000"
+echo "[INFO] NCCL_INIT_ADDR: $NCCL_INIT_ADDR"
+
+# Launch the model server on each node using SLURM
+srun --ntasks=2 --nodes=2 --output="SLURM_Logs/%x_%j_node$SLURM_NODEID.out" \
+    --error="SLURM_Logs/%x_%j_node$SLURM_NODEID.err" \
+    python3 -m sglang.launch_server \
+    --model-path "$model" \
+    --grammar-backend "xgrammar" \
+    --tp "$tp_size" \
+    --nccl-init-addr "$NCCL_INIT_ADDR" \
+    --nnodes 2 \
+    --node-rank "$SLURM_NODEID" &
+
+# Wait for the NCCL server to be ready on port 30000
+while ! nc -z "$HEAD_NODE" 30000; do
+    sleep 1
+    echo "[INFO] Waiting for $HEAD_NODE:30000 to accept connections"
+done
+
+echo "[INFO] $HEAD_NODE:30000 is ready to accept connections"
+
+# Keep the script running until the SLURM job times out
+wait
+```
+
+Then, you can test the server by sending requests following other [documents](https://docs.sglang.ai/backend/openai_api_completions.html).
+
+Thanks for [aflah02](https://github.com/aflah02) for providing the example, based on his [blog post](https://aflah02.substack.com/p/multi-node-llm-inference-with-sglang).