diff --git a/python/sglang/srt/mem_cache/storage/hf3fs/docs/README.md b/python/sglang/srt/mem_cache/storage/hf3fs/docs/README.md
index 63be34293..480f431a8 100644
--- a/python/sglang/srt/mem_cache/storage/hf3fs/docs/README.md
+++ b/python/sglang/srt/mem_cache/storage/hf3fs/docs/README.md
@@ -1,19 +1,26 @@
-# HF3FS as L3 KV Cache
+# Using HF3FS as L3 Global KV Cache
 
-This document describes how to use deepseek-hf3fs as the L3 KV cache for SGLang.
+This document provides step-by-step instructions for setting up a k8s + 3FS + SGLang runtime environment from scratch, describing how to utilize deepseek-hf3fs as the L3 KV cache for SGLang.
+The process consists of five main steps:
 
-## Step1: Install deepseek-3fs by 3fs-Operator (Coming Soon)
+## Step 1: Install deepseek-3fs via 3fs-Operator
+Refer to the [3fs-operator documentation](https://github.com/aliyun/kvc-3fs-operator/blob/main/README_en.md) to deploy 3FS components in your Kubernetes environment using the Operator with one-click deployment.
 
-## Step2: Setup usrbio client
+## Step 2: Launch SGLang Pod
+Start your SGLang Pod while specifying 3FS-related labels in the YAML configuration. Follow the [fuse-client-creation guide](https://github.com/aliyun/kvc-3fs-operator/blob/main/README_en.md#fuse-client-creation).
 
-Please follow the document [setup_usrbio_client.md](setup_usrbio_client.md) to setup usrbio client.
+## Step 3: Configure Usrbio Client in SGLang Pod
+The Usrbio client is required for accessing 3FS. Install it in your SGLang Pod using either method below:
 
-## Step3: Deployment
+**Alternative 1 (Recommend):** Build from source (refer to [setup_usrbio_client.md](setup_usrbio_client.md))
 
-### Single node deployment
+**Alternative 2:** Run `pip3 install hf3fs-py-usrbio` (Follow https://pypi.org/project/hf3fs-py-usrbio/#files)
 
+## Step 4: Deploy Model Serving
+
+### Single Node Deployment
 ```bash
-export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib/python3.10/dist-packages
+export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib/python3.12/dist-packages
 python3 -m sglang.launch_server \
     --model-path /code/models/Qwen3-32B/ \
     --host 0.0.0.0 --port 10000 \
@@ -24,6 +31,5 @@ python3 -m sglang.launch_server \
     --hicache-storage-backend hf3fs
 ```
 
-### Multi nodes deployment to share KV cache
-
-Please follow the document [deploy_sglang_3fs_multinode.md](deploy_sglang_3fs_multinode.md) to deploy SGLang with 3FS on multiple nodes to share KV cache.
+### Multi-Node Deployment (Shared KV Cache)
+Follow the [deploy_sglang_3fs_multinode.md](deploy_sglang_3fs_multinode.md) guide to deploy SGLang with 3FS across multiple nodes for shared KV caching.
diff --git a/python/sglang/srt/mem_cache/storage/hf3fs/docs/deploy_sglang_3fs_multinode.md b/python/sglang/srt/mem_cache/storage/hf3fs/docs/deploy_sglang_3fs_multinode.md
index c2955cd3e..889f9ad85 100644
--- a/python/sglang/srt/mem_cache/storage/hf3fs/docs/deploy_sglang_3fs_multinode.md
+++ b/python/sglang/srt/mem_cache/storage/hf3fs/docs/deploy_sglang_3fs_multinode.md
@@ -20,7 +20,7 @@ vim /sgl-workspace/sglang/benchmark/hf3fs/hf3fs_config.json
 ## node1
 ```bash
 export SGLANG_HICACHE_HF3FS_CONFIG_PATH=/sgl-workspace/sglang/benchmark/hf3fs/hf3fs_config.json
-export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib/python3.10/dist-packages
+export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib/python3.12/dist-packages
 rm -rf instance1.out && \
 nohup python3 -m sglang.launch_server \
     --model-path /code/models/Qwen3-32B/ \
@@ -35,7 +35,7 @@ nohup python3 -m sglang.launch_server \
 ## node2
 ```bash
 export SGLANG_HICACHE_HF3FS_CONFIG_PATH=/sgl-workspace/sglang/benchmark/hf3fs/hf3fs_config.json
-export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib/python3.10/dist-packages
+export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib/python3.12/dist-packages
 rm -rf instance2.out && \
 nohup python3 -m sglang.launch_server \
     --model-path /code/models/Qwen3-32B/ \