diff --git a/frameworks/tensorrt-llm/1.2.0/Dockerfile b/frameworks/tensorrt-llm/1.2.0/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..5c8804654db6a2d19361edc1a83bb12014ebb7ff
--- /dev/null
+++ b/frameworks/tensorrt-llm/1.2.0/Dockerfile
@@ -0,0 +1,43 @@
+FROM opencloudos/opencloudos9-minimal:latest
+
+LABEL maintainer="stronking 363133710@qq.com"
+LABEL org.opencontainers.image.source="https://gitee.com/OpenCloudOS/ai-agent-container"
+LABEL org.opencontainers.image.description="TensorRT-LLM on OpenCloudOS 9 with Python 3.12, CUDA 13.0"
+ENV NVIDIA_VISIBLE_DEVICES=all
+ARG TENSORRTLLM_VERSION=1.2.0
+RUN dnf install -y epol-release \
+    && dnf makecache \
+    && dnf upgrade -y \
+    && dnf clean all
+
+RUN dnf install -y \
+    cuda-toolkit-13-0 \
+    cuda-devel-13-0 \
+    libcudnn9-cuda-13 \
+    libcudnn9-devel-cuda-13 \
+    libcudnn9-headers-cuda-13 \
+    libcudnn9-static-cuda-13 \
+    libnccl-cuda-13-0 \
+    libnccl-devel-cuda-13-0 \
+    libnccl-static-cuda-13-0 \
+    nccl-cuda-13-0 \
+    libcublasmp0-cuda-13 \
+    libcublasmp0-devel-cuda-13 \
+    && dnf clean all \
+    && rm -rf /var/cache/yum/*
+
+
+RUN dnf install -y python3.12 python3.12-devel openmpi openmpi-devel
+RUN python3.12 -m ensurepip && \
+    python3.12 -m venv /home/python3.12 && \
+    /home/python3.12/bin/pip install --upgrade pip setuptools wheel packaging build
+RUN /home/python3.12/bin/pip install tensorrt-llm==$TENSORRTLLM_VERSION --extra-index-url https://pypi.nvidia.com
+ENV LD_LIBRARY_PATH=/usr/lib64/openmpi/lib:$LD_LIBRARY_PATH
+ENV PATH=/usr/local/cuda/bin:$PATH
+ENV PYTHONUNBUFFERED=1
+RUN printf 'import platform as _p\n_o=_p.python_version\n_p.python_version=lambda:_o().rstrip("+")\n' > /home/python3.12/lib/python3.12/site-packages/sitecustomize.py
+RUN echo 'source /home/python3.12/bin/activate' >> /root/.bashrc
+
+RUN date +"%Y/%m/%d" > /etc/buildinfo
+
+CMD ["/home/python3.12/bin/python"]
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diff --git a/frameworks/tensorrt-llm/1.2.0/README.md b/frameworks/tensorrt-llm/1.2.0/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..9757072595a0b9f40f60eeebcc96e10450edddf0
--- /dev/null
+++ b/frameworks/tensorrt-llm/1.2.0/README.md
@@ -0,0 +1,93 @@
+# TensorRT-LLM 1.2.0 on OpenCloudOS 9
+
+## 基本信息
+
+- **框架版本**：TensorRT-LLM v1.2.0
+- **基础镜像**：opencloudos/opencloudos9-minimal:latest
+- **Python 版本**：Python 3.12
+- **CUDA 版本**：CUDA 13.0 或更高
+- **GPU 支持**：需要 NVIDIA GPU 与 NVIDIA Container Toolkit
+- **MPI 支持**：已集成 OpenMPI / mpi4py
+- **主要用途**：
+  - TensorRT-LLM Python 环境验证
+  - CUDA / PyTorch GPU 功能测试
+  - TensorRT-LLM 推理环境基础镜像
+  - 后续模型构建、Engine 转换与推理测试
+
+## 构建
+
+在 Dockerfile 所在目录执行：
+
+```bash
+docker build -t oc9-tensorrt-llm:1.2.0 .
+```
+
+## 镜像启动命令
+
+#### 后台启动容器：
+```bash
+docker run -d \
+  --gpus all \
+  --name oc9-tensorrt-llm \
+  oc9-tensorrt-llm:1.2.0 \
+  sleep infinity
+```
+#### 进入容器
+```bash
+docker exec -it oc9-tensorrt-llm bash
+```
+
+## 测试镜像
+
+#### 在容器内执行基础验证
+```bash
+docker run --rm --gpus all oc9-tensorrt-llm:1.2.0 bash -lc "
+nvidia-smi &&
+python -c 'import torch; print(torch.cuda.is_available()); print(torch.cuda.get_device_name(0))' &&
+python -c 'import tensorrt_llm; print(tensorrt_llm.__version__)' &&
+python -c 'from mpi4py import MPI; print(MPI.Get_version())'
+"
+```
+
+## 常见问题
+
+
+
+## 验证内容
+
+## 注意事项
+
+1. 启动容器时必须添加：
+
+```bash
+--gpus all
+```
+
+否则容器内无法访问 NVIDIA GPU。
+
+2. 宿主机需要安装 NVIDIA Container Toolkit。
+
+3. 当前测试只验证基础运行环境，不包含完整模型推理流程。
+
+4. TensorRT-LLM 真正推理通常需要额外步骤：
+
+```text
+下载模型 → 转换 checkpoint → 构建 TensorRT engine → 运行推理脚本
+```
+
+
+## 常见问题
+
+### 1. ModuleNotFoundError: No module named 'torch'
+
+通常是 Python 虚拟环境没有进入默认 PATH。需要确认镜像中包含：
+
+```dockerfile
+ENV VIRTUAL_ENV=/home/python3.12
+ENV PATH=/home/python3.12/bin:$PATH
+```
+或者需要确认虚拟环境是否被激活
+```bash
+source /home/python3.12/bin/activate
+```
+
diff --git a/frameworks/tensorrt-llm/1.2.0/build.conf b/frameworks/tensorrt-llm/1.2.0/build.conf
new file mode 100644
index 0000000000000000000000000000000000000000..5eaab65ea241d4a2f8d87300a073f9cf8b5c7365
--- /dev/null
+++ b/frameworks/tensorrt-llm/1.2.0/build.conf
@@ -0,0 +1,5 @@
+# TnesorRT-LLM 1.2.0 on OpenCloudOS 9 (GPU)
+IMAGE_NAME=oc9-tensorrt-llm
+
+IMAGE_TAG=1.2.0
+GPU_TEST=false
\ No newline at end of file
diff --git a/frameworks/tensorrt-llm/1.2.0/test.sh b/frameworks/tensorrt-llm/1.2.0/test.sh
new file mode 100644
index 0000000000000000000000000000000000000000..973d808943086e4db0c8c2caa67a7ef59f0867aa
--- /dev/null
+++ b/frameworks/tensorrt-llm/1.2.0/test.sh
@@ -0,0 +1,40 @@
+#!/bin/bash
+set -euo pipefail
+
+IMAGE="${1:?用法: bash test.sh <image:tag>}"
+
+echo "=== TensorRT-LLM GPU 镜像功能测试 ==="
+
+echo -n "检查 NVIDIA GPU 驱动 & CUDA... "
+docker run --rm --gpus all "$IMAGE" bash -lc '
+nvidia-smi >/dev/null
+nvcc --version >/dev/null
+/home/python3.12/bin/python -c "import torch; assert torch.cuda.is_available(); print(\"GPU:\", torch.cuda.get_device_name(0))"
+'
+echo "✓ 通过"
+
+echo -n "检查 tensorrt_llm import... "
+docker run --rm --gpus all "$IMAGE" bash -lc '
+/home/python3.12/bin/python -c "import tensorrt_llm; print(\"tensorrt_llm version:\", tensorrt_llm.__version__)"
+'
+echo "✓ 通过"
+
+echo -n "检查 torch CUDA 张量计算... "
+docker run --rm --gpus all "$IMAGE" bash -lc '
+/home/python3.12/bin/python - <<PY
+import torch
+x = torch.randn(128, 128, device="cuda")
+y = x @ x
+torch.cuda.synchronize()
+print("CUDA tensor test ok:", y.shape)
+PY
+'
+echo "✓ 通过"
+
+echo -n "检查 MPI... "
+docker run --rm --gpus all "$IMAGE" bash -lc '
+/home/python3.12/bin/python -c "from mpi4py import MPI; print(\"MPI version:\", MPI.Get_version())"
+'
+echo "✓ 通过"
+
+echo "=== 所有测试通过 ==="
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