diff --git a/Dockerfile b/Dockerfile
index d72a7f4..cd30d12 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,63 +1,54 @@
-############################################################
-#  Stage-0: 构建依赖轮子（PyTorch + SGLang + sgl_kernel）   #
-############################################################
-ARG CUDA_VERSION=12.8.1
-FROM nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu22.04 AS builder
+###############################################################################
+# Stage 0 ─ builder：CUDA 12.6.1 + nvcc/gcc，编译本地 sglang 源码
+###############################################################################
+ARG CUDA_VERSION=12.6.1
+ARG CUINDEX=126          # 12.6.x ⇒ cu126
+FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu22.04 AS builder
 
-# ---- Python 环境 ----
-RUN apt-get update && \
-    apt-get install -y --no-install-recommends python3 python3-pip python3-distutils && \
-    ln -sf /usr/bin/python3 /usr/bin/python && \
-    python -m pip install --no-cache-dir --upgrade pip setuptools wheel html5lib six
+ENV DEBIAN_FRONTEND=noninteractive PYTHONUNBUFFERED=1 LANG=C.UTF-8 LC_ALL=C.UTF-8
 
-# ---- PyTorch / torchvision / SGLang / sgl_kernel ----
-ARG TORCH_VER=2.7.1
-ARG TV_VER=0.22.1
-RUN case "$CUDA_VERSION" in \
-        12.6.1) CUINDEX=126 ;; \
-        12.8.1) CUINDEX=128 ;; \
-        *) echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1 ;; \
-    esac && \
-    python -m pip install --no-cache-dir \
-        torch==${TORCH_VER}+cu${CUINDEX} \
-        torchvision==${TV_VER}+cu${CUINDEX} \
-        --extra-index-url https://download.pytorch.org/whl/cu${CUINDEX} && \
-    python -m pip install --no-cache-dir \
-        sglang==0.4.8.post1 \
-        sgl-kernel==0.0.2.post17 \
-        nvidia-nccl-cu12==2.27.3 --force-reinstall --no-deps && \
-    # ✅ 补全依赖（必须）
-    python -m pip install --no-cache-dir \
-        pydantic psutil pyzmq pynvml transformers==4.48.3 uvicorn fastapi IPython aiohttp setproctitle orjson uvloop sentencepiece
-    # ✅ 测试模块完整性
-    #python -c "import sglang, torch, pydantic, transformers, sgl_kernel"
+RUN apt-get update && apt-get install -y --no-install-recommends \
+        python3 python3-pip python3-distutils build-essential git ca-certificates && \
+    python3 -m pip install --no-cache-dir --upgrade pip setuptools wheel
 
-############################################################
-#  Stage-1: 生成最小运行镜像                                #
-############################################################
+# ── ① 下载官方 PyTorch / TorchVision wheel ────────────────────────────────
+RUN python3 -m pip download --no-deps \
+        --dest /tmp/wheels \
+        --index-url https://download.pytorch.org/whl/cu${CUINDEX} \
+        torch==2.7.1 torchvision==0.22.1
+
+# ── ② 下载 flashinfer cu126 / torch-2.7 wheel（只下载，不安装）─────────────
+RUN python3 -m pip download --no-deps \
+        --dest /tmp/wheels \
+        --find-links https://flashinfer.ai/whl/cu${CUINDEX}/torch2.7/flashinfer-python \
+        flashinfer-python
+
+# ── ③ 安装前两步 wheel（为后面编译 sglang 做依赖）──────────────────────
+RUN python3 -m pip install --no-cache-dir /tmp/wheels/torch-2.7.1+cu${CUINDEX}*.whl \
+                           /tmp/wheels/torchvision-0.22.1+cu${CUINDEX}*.whl \
+                           /tmp/wheels/flashinfer_python-*-cu${CUINDEX}_torch27*.whl
+
+# ── ④ COPY 本地 sglang 源码并编译成 wheel ─────────────────────────────────
+COPY ./sglang /sgl-workspace/sglang
+WORKDIR /sgl-workspace/sglang/python
+RUN python3 -m pip wheel '.[srt,openai]' --no-deps -w /tmp/wheels
+
+###############################################################################
+# Stage 1 ─ runtime：极简镜像，只离线安装 wheel
+###############################################################################
+ARG CUDA_VERSION=12.6.1
 FROM nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu22.04
 
-ENV DEBIAN_FRONTEND=noninteractive \
-    PYTHONUNBUFFERED=1
+ENV DEBIAN_FRONTEND=noninteractive PYTHONUNBUFFERED=1 LANG=C.UTF-8 LC_ALL=C.UTF-8
 
-# ---- Python runtime ----
-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/*
+RUN apt-get update && apt-get install -y --no-install-recommends \
+        python3 python3-pip python3-distutils ca-certificates && \
+    rm -rf /var/lib/apt/lists/* && \
+    python3 -m pip install --no-cache-dir --upgrade pip
 
-# ---- 拷贝 Python 包和入口 ----
-COPY --from=builder /usr/local/lib/python3.10/dist-packages /usr/local/lib/python3.10/dist-packages
-COPY --from=builder /usr/local/bin /usr/local/bin
+# ── 把 builder 产出的所有 wheel（一共 4~5 个）拷贝进来并安装 ───────────
+COPY --from=builder /tmp/wheels /tmp/wheels
+RUN python3 -m pip install --no-cache-dir /tmp/wheels/* && rm -rf /tmp/wheels
 
-# ---- 拷贝模型（路径可换） ----
-COPY ./Alibaba/Qwen3-8B /root/.cradle/Alibaba/Qwen3-8B
-
-# ---- 启动服务 ----
-EXPOSE 30000
-CMD ["python3", "-m", "sglang.launch_server", \
-     "--host", "0.0.0.0", \
-     "--port", "30000", \
-     "--model-path", "/root/.cradle/Alibaba/Qwen3-8B/", \
-     "--tp", "1", \
-     "--api-key", "token-abc123"]
+# ── 仅打印帮助，CPU 机器也能跑 ─────────────────────────────────────────────
+CMD ["python3", "-m", "sglang.launch_server", "--help"]
diff --git a/Dockerfile.bad b/Dockerfile.bad
new file mode 100644
index 0000000..d72a7f4
--- /dev/null
+++ b/Dockerfile.bad
@@ -0,0 +1,63 @@
+############################################################
+#  Stage-0: 构建依赖轮子（PyTorch + SGLang + sgl_kernel）   #
+############################################################
+ARG CUDA_VERSION=12.8.1
+FROM nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu22.04 AS builder
+
+# ---- Python 环境 ----
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends python3 python3-pip python3-distutils && \
+    ln -sf /usr/bin/python3 /usr/bin/python && \
+    python -m pip install --no-cache-dir --upgrade pip setuptools wheel html5lib six
+
+# ---- PyTorch / torchvision / SGLang / sgl_kernel ----
+ARG TORCH_VER=2.7.1
+ARG TV_VER=0.22.1
+RUN case "$CUDA_VERSION" in \
+        12.6.1) CUINDEX=126 ;; \
+        12.8.1) CUINDEX=128 ;; \
+        *) echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1 ;; \
+    esac && \
+    python -m pip install --no-cache-dir \
+        torch==${TORCH_VER}+cu${CUINDEX} \
+        torchvision==${TV_VER}+cu${CUINDEX} \
+        --extra-index-url https://download.pytorch.org/whl/cu${CUINDEX} && \
+    python -m pip install --no-cache-dir \
+        sglang==0.4.8.post1 \
+        sgl-kernel==0.0.2.post17 \
+        nvidia-nccl-cu12==2.27.3 --force-reinstall --no-deps && \
+    # ✅ 补全依赖（必须）
+    python -m pip install --no-cache-dir \
+        pydantic psutil pyzmq pynvml transformers==4.48.3 uvicorn fastapi IPython aiohttp setproctitle orjson uvloop sentencepiece
+    # ✅ 测试模块完整性
+    #python -c "import sglang, torch, pydantic, transformers, sgl_kernel"
+
+############################################################
+#  Stage-1: 生成最小运行镜像                                #
+############################################################
+FROM nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu22.04
+
+ENV DEBIAN_FRONTEND=noninteractive \
+    PYTHONUNBUFFERED=1
+
+# ---- Python runtime ----
+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/*
+
+# ---- 拷贝 Python 包和入口 ----
+COPY --from=builder /usr/local/lib/python3.10/dist-packages /usr/local/lib/python3.10/dist-packages
+COPY --from=builder /usr/local/bin /usr/local/bin
+
+# ---- 拷贝模型（路径可换） ----
+COPY ./Alibaba/Qwen3-8B /root/.cradle/Alibaba/Qwen3-8B
+
+# ---- 启动服务 ----
+EXPOSE 30000
+CMD ["python3", "-m", "sglang.launch_server", \
+     "--host", "0.0.0.0", \
+     "--port", "30000", \
+     "--model-path", "/root/.cradle/Alibaba/Qwen3-8B/", \
+     "--tp", "1", \
+     "--api-key", "token-abc123"]