diff --git a/Dockerfile b/Dockerfile
index 8c588b0..fe902dd 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,5 +1,5 @@
 ############################
-#  Stage-0: 取运行依赖轮子  #
+#  Stage-0: 构建镜像        #
 ############################
 ARG CUDA_VERSION=12.8.1          # 仅 12.6.1 / 12.8.1 经测试可用
 FROM nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu22.04 AS builder
@@ -12,7 +12,7 @@ RUN apt-get update && \
 
 # ---- 安装 PyTorch + SGLang ----
 ARG TORCH_VER=2.7.1              # cu128 轮子从 2.7.* 开始提供
-ARG TV_VER=0.22.0
+ARG TV_VER=0.22.1                # 0.22.1 与 torch-2.7.1 完全兼容
 RUN case "$CUDA_VERSION" in \
         12.6.1) CUINDEX=126 ;; \
         12.8.1) CUINDEX=128 ;; \
@@ -24,38 +24,36 @@ RUN case "$CUDA_VERSION" in \
         --extra-index-url https://download.pytorch.org/whl/cu${CUINDEX} && \
     python -m pip install --no-cache-dir sglang==0.4.8.post1 && \
     # 12.8 额外装官方 sgl_kernel & NCCL
-    if [ "$CUDA_VERSION" = "12.8.1" ]; then \
-        python -m pip install --no-cache-dir nvidia-nccl-cu12==2.27.3 --force-reinstall --no-deps && \
-        python -m pip install --no-cache-dir \
-          https://github.com/sgl-project/whl/releases/download/v0.2.0/sgl_kernel-0.2.0+cu128-cp310-abi3-manylinux2014_x86_64.whl \
-          --force-reinstall --no-deps ; \
-    fi
+    python -m pip install --no-cache-dir nvidia-nccl-cu12==2.27.3 --force-reinstall --no-deps && \
+    python -m pip install --no-cache-dir \
+        https://github.com/sgl-project/whl/releases/download/v0.2.0/sgl_kernel-0.2.0+cu128-cp310-abi3-manylinux2014_x86_64.whl \
+        --force-reinstall --no-deps
 
 ############################
-#  Stage-1: 最小运行镜像    #
+#  Stage-1: 运行镜像        #
 ############################
 FROM nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu22.04
 
 ENV DEBIAN_FRONTEND=noninteractive \
     PYTHONUNBUFFERED=1
 
-# 基础 Python
+# ---- 基础 Python ----
 RUN apt-get update && \
     apt-get install -y --no-install-recommends python3 python3-distutils && \
     ln -sf /usr/bin/python3 /usr/bin/python && \
     rm -rf /var/lib/apt/lists/*
 
-# 复制虚拟环境（即 site-packages）到最终镜像
+# ---- 复制依赖轮子 ----
 COPY --from=builder /usr/local/lib/python3.*/dist-packages /usr/local/lib/python3.*/dist-packages
 COPY --from=builder /usr/local/bin /usr/local/bin
 
-# 拷贝模型文件（示例路径，按需修改）
+# ---- 拷贝模型权重 ----
 COPY ./Alibaba/Qwen3-8B /root/.cradle/Alibaba/Qwen3-8B
 
-# 暴露推理端口
+# ---- 暴露端口 ----
 EXPOSE 30000
 
-# 默认启动 SGLang 推理服务
+# ---- 启动命令 ----
 CMD ["python3", "-m", "sglang.launch_server", \
      "--host", "0.0.0.0", \
      "--port", "30000", \