diff --git a/frameworks/pytorch/2.10.0/Dockerfile b/frameworks/pytorch/2.10.0/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..3185627ca7fb32151c3a865a8e525a2efc30537e
--- /dev/null
+++ b/frameworks/pytorch/2.10.0/Dockerfile
@@ -0,0 +1,25 @@
+
+FROM opencloudos/opencloudos9-cuda-devel:12.8
+
+LABEL maintainer="stronking 363133710@qq.com"
+LABEL org.opencontainers.image.source="https://gitee.com/OpenCloudOS/ai-agent-container"
+LABEL org.opencontainers.image.description="Torch 2.10.0 (GPU) on OpenCloudOS 9"
+
+ENV NVIDIA_VISIBLE_DEVICES=all \
+    PYTHONUNBUFFERED=1 \
+    PIP_DISABLE_PIP_VERSION_CHECK=1 \
+    PIP_DEFAULT_TIMEOUT=120
+
+
+WORKDIR /home
+
+RUN --mount=type=cache,id=pip-cache-opencloudos9-cu128,target=/root/.cache/pip \
+    pip install \
+      torch==2.10.0 \
+      torchvision==0.25.0 \
+      torchaudio==2.10.0 \
+      --index-url https://download.pytorch.org/whl/cu128
+
+COPY test.sh .
+
+CMD ["python3"]
\ No newline at end of file
diff --git a/frameworks/pytorch/2.10.0/README.md b/frameworks/pytorch/2.10.0/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..81fcbf520c8a1537921251d1ab85c41b870487ae
--- /dev/null
+++ b/frameworks/pytorch/2.10.0/README.md
@@ -0,0 +1,20 @@
+# Torch 2.10.0 on OpenCloudOS 9
+
+## 基本信息
+- **框架版本**：v2.10.0
+- **基础镜像**：opencloudos9-cuda-devel:12.8
+- **Python 版本**：3.11
+- **CUDA 版本**： 12.x 或 更高
+
+## 构建
+
+docker build -t oc9-pytorch:2.10.0 .
+
+## 镜像启动命令
+
+docker run -d --gpus all --name oc9-pytorch oc9-pytorch:2.10.0
+
+## 镜像测试命令
+
+docker run --rm --gpus all oc9-pytorch:2.10.0 bash test.sh
+
diff --git a/frameworks/pytorch/2.10.0/build.conf b/frameworks/pytorch/2.10.0/build.conf
new file mode 100644
index 0000000000000000000000000000000000000000..fff269862299e4313eb586f485b6f862e3e3b939
--- /dev/null
+++ b/frameworks/pytorch/2.10.0/build.conf
@@ -0,0 +1,4 @@
+# pytorch 2.10.0 on OpenCloudOS 9 (GPU)
+IMAGE_NAME=oc9-pytorch
+IMAGE_TAG=2.10.0
+GPU_TEST=true
\ No newline at end of file
diff --git a/frameworks/pytorch/2.10.0/test.sh b/frameworks/pytorch/2.10.0/test.sh
new file mode 100644
index 0000000000000000000000000000000000000000..71e9e0a7683912d1386e6daad10342577d3377e5
--- /dev/null
+++ b/frameworks/pytorch/2.10.0/test.sh
@@ -0,0 +1,204 @@
+#!/bin/bash
+set -e
+
+IMAGE="${1:-}"
+
+if [ -z "${IMAGE}" ]; then
+    echo "用法: bash test.sh <镜像名:标签>"
+    exit 1
+fi
+
+if ! command -v docker >/dev/null 2>&1; then
+    echo "✗ 未找到 docker"
+    exit 1
+fi
+
+echo "=== PyTorch 容器基础功能测试 ==="
+echo "测试镜像: ${IMAGE}"
+
+docker run --rm --gpus all "${IMAGE}"  /bin/bash -lc '
+set -e
+
+export CUDA_HOME=/usr/local/cuda
+export PATH=/usr/local/cuda/bin:$PATH
+export LD_LIBRARY_PATH=/usr/local/cuda/lib64:${LD_LIBRARY_PATH:-}
+
+echo "=== PyTorch 基础功能测试 ==="
+
+# 说明：
+# CI 的 GPU_TEST=true 会额外执行 torch.cuda.is_available() 验证 CUDA。
+# 因此这里默认不强制要求 CUDA，避免基础测试因为未挂载 GPU 失败。
+# 如需强制测试 CUDA，可在运行 test.sh 时设置 REQUIRE_CUDA=1。
+REQUIRE_CUDA="${REQUIRE_CUDA:-0}"
+
+echo "REQUIRE_CUDA=${REQUIRE_CUDA}"
+
+pass() {
+    echo "✓ $1"
+}
+
+fail() {
+    echo "✗ $1"
+    exit 1
+}
+
+check() {
+    local name="$1"
+    shift
+
+    echo "检查 ${name}..."
+    if "$@"; then
+        pass "${name}"
+    else
+        fail "${name}"
+    fi
+}
+
+echo
+echo "=== 1. Python / PyTorch Import 检查 ==="
+
+check "python3 存在" command -v python3
+
+check "import torch / torchvision / torchaudio" python3 - <<'"'"'PY'"'"'
+import torch
+import torchvision
+import torchaudio
+
+print("torch:", torch.__version__)
+print("torchvision:", torchvision.__version__)
+print("torchaudio:", torchaudio.__version__)
+print("torch path:", torch.__file__)
+PY
+
+
+echo
+echo "=== 2. CPU 基础功能检查 ==="
+
+check "CPU Tensor 计算" python3 - <<'"'"'PY'"'"'
+import torch
+
+x = torch.randn(512, 512)
+y = torch.randn(512, 512)
+z = x @ y
+
+assert z.shape == (512, 512)
+assert torch.isfinite(z).all()
+
+print("CPU matmul OK")
+PY
+
+
+check "Autograd 自动求导" python3 - <<'"'"'PY'"'"'
+import torch
+
+x = torch.tensor([1.0, 2.0, 3.0], requires_grad=True)
+y = (x * x).sum()
+y.backward()
+
+expected = torch.tensor([2.0, 4.0, 6.0])
+assert torch.allclose(x.grad, expected)
+
+print("Autograd OK")
+PY
+
+
+echo
+echo "=== 3. CUDA 环境信息检查 ==="
+
+if command -v nvidia-smi >/dev/null 2>&1; then
+    echo "检测到 nvidia-smi:"
+    nvidia-smi || true
+else
+    echo "未检测到 nvidia-smi，跳过 nvidia-smi 检查"
+fi
+
+if command -v nvcc >/dev/null 2>&1; then
+    check "nvcc --version" nvcc --version
+else
+    if [ "${REQUIRE_CUDA}" = "1" ]; then
+        fail "REQUIRE_CUDA=1，但未找到 nvcc"
+    else
+        echo "未找到 nvcc，跳过 nvcc 检查"
+    fi
+fi
+
+
+echo
+echo "=== 4. PyTorch CUDA 功能检查 ==="
+
+check "torch CUDA 状态查询" python3 - <<PY
+import torch
+
+require_cuda = "${REQUIRE_CUDA}" == "1"
+
+print("torch version:", torch.__version__)
+print("torch cuda version:", torch.version.cuda)
+print("cuda available:", torch.cuda.is_available())
+print("cuda device count:", torch.cuda.device_count())
+
+if require_cuda:
+    assert torch.cuda.is_available(), "torch.cuda.is_available() is False"
+    assert torch.cuda.device_count() > 0, "No CUDA device found"
+else:
+    if not torch.cuda.is_available():
+        print("CUDA not available, skip GPU assertion")
+PY
+
+
+if [ "${REQUIRE_CUDA}" = "1" ]; then
+    check "GPU Tensor 计算" python3 - <<'"'"'PY'"'"'
+import torch
+
+assert torch.cuda.is_available(), "CUDA is not available"
+
+device = torch.device("cuda:0")
+
+print("GPU name:", torch.cuda.get_device_name(0))
+
+x = torch.randn(1024, 1024, device=device)
+y = torch.randn(1024, 1024, device=device)
+z = x @ y
+
+torch.cuda.synchronize()
+
+assert z.is_cuda
+assert z.shape == (1024, 1024)
+assert torch.isfinite(z).all()
+
+print("GPU matmul OK")
+PY
+else
+    echo "REQUIRE_CUDA=0，跳过 GPU Tensor 计算"
+fi
+
+
+echo
+echo "=== 5. torchvision / torchaudio 基础功能检查 ==="
+
+check "torchvision transforms" python3 - <<'"'"'PY'"'"'
+import torchvision.transforms as T
+
+transform = T.Compose([
+    T.Resize((224, 224)),
+    T.ToTensor(),
+])
+
+assert transform is not None
+print("torchvision transforms OK")
+PY
+
+
+check "torchaudio import" python3 - <<'"'"'PY'"'"'
+import torchaudio
+
+print("torchaudio version:", torchaudio.__version__)
+print("torchaudio OK")
+PY
+
+
+echo
+echo "=== 所有 PyTorch 容器基础测试通过 ==="
+'
+
+echo "✓ 镜像 ${IMAGE} 功能测试通过"
+exit 0
\ No newline at end of file
diff --git a/frameworks/pytorch/2.10.0/test_result.png b/frameworks/pytorch/2.10.0/test_result.png
new file mode 100644
index 0000000000000000000000000000000000000000..b1b3dc48a71cbcdc352b7e572c0fa887a4e7bbdd
Binary files /dev/null and b/frameworks/pytorch/2.10.0/test_result.png differ
diff --git a/frameworks/pytorch/2.11.0/Dockerfile b/frameworks/pytorch/2.11.0/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..6c18270339dc08c8ed6b3c7f859388db0a3ee926
--- /dev/null
+++ b/frameworks/pytorch/2.11.0/Dockerfile
@@ -0,0 +1,24 @@
+
+FROM opencloudos/opencloudos9-cuda-devel:12.8
+
+LABEL maintainer="stronking 363133710@qq.com"
+LABEL org.opencontainers.image.source="https://gitee.com/OpenCloudOS/ai-agent-container"
+LABEL org.opencontainers.image.description="Torch 2.11.0 (GPU) on OpenCloudOS 9"
+
+ENV NVIDIA_VISIBLE_DEVICES=all \
+    PYTHONUNBUFFERED=1 \
+    PIP_DISABLE_PIP_VERSION_CHECK=1 \
+    PIP_DEFAULT_TIMEOUT=120
+
+
+WORKDIR /home
+
+RUN --mount=type=cache,id=pip-cache-opencloudos9-cu128,target=/root/.cache/pip \
+    pip install \
+      torch==2.11.0 \
+      torchvision==0.26.0 \
+      torchaudio==2.11.0 \
+      --index-url https://download.pytorch.org/whl/cu128
+COPY test.sh .
+
+CMD ["python3"]
\ No newline at end of file
diff --git a/frameworks/pytorch/2.11.0/README.md b/frameworks/pytorch/2.11.0/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..299d2414cd6686525589a57edfa3e897a234dc1c
--- /dev/null
+++ b/frameworks/pytorch/2.11.0/README.md
@@ -0,0 +1,20 @@
+# Torch 2.11.0 on OpenCloudOS 9
+
+## 基本信息
+- **框架版本**：v2.11.0
+- **基础镜像**：opencloudos9-cuda-devel:12.8
+- **Python 版本**：3.11
+- **CUDA 版本**： 12.x 或 更高
+
+## 构建
+
+docker build -t oc9-pytorch:2.11.0 .
+
+## 镜像启动命令
+
+docker run -d --gpus all --name oc9-pytorch oc9-pytorch:2.11.0
+
+## 镜像测试命令
+
+docker run --rm --gpus all oc9-pytorch:2.11.0 bash test.sh
+
diff --git a/frameworks/pytorch/2.11.0/build.conf b/frameworks/pytorch/2.11.0/build.conf
new file mode 100644
index 0000000000000000000000000000000000000000..f101d2580ae45e2f652dd06e4e22d5c54ce1fcac
--- /dev/null
+++ b/frameworks/pytorch/2.11.0/build.conf
@@ -0,0 +1,4 @@
+# pytorch 2.11.0 on OpenCloudOS 9 (GPU)
+IMAGE_NAME=oc9-pytorch
+IMAGE_TAG=2.11.0
+GPU_TEST=true
\ No newline at end of file
diff --git a/frameworks/pytorch/2.11.0/test.sh b/frameworks/pytorch/2.11.0/test.sh
new file mode 100644
index 0000000000000000000000000000000000000000..71e9e0a7683912d1386e6daad10342577d3377e5
--- /dev/null
+++ b/frameworks/pytorch/2.11.0/test.sh
@@ -0,0 +1,204 @@
+#!/bin/bash
+set -e
+
+IMAGE="${1:-}"
+
+if [ -z "${IMAGE}" ]; then
+    echo "用法: bash test.sh <镜像名:标签>"
+    exit 1
+fi
+
+if ! command -v docker >/dev/null 2>&1; then
+    echo "✗ 未找到 docker"
+    exit 1
+fi
+
+echo "=== PyTorch 容器基础功能测试 ==="
+echo "测试镜像: ${IMAGE}"
+
+docker run --rm --gpus all "${IMAGE}"  /bin/bash -lc '
+set -e
+
+export CUDA_HOME=/usr/local/cuda
+export PATH=/usr/local/cuda/bin:$PATH
+export LD_LIBRARY_PATH=/usr/local/cuda/lib64:${LD_LIBRARY_PATH:-}
+
+echo "=== PyTorch 基础功能测试 ==="
+
+# 说明：
+# CI 的 GPU_TEST=true 会额外执行 torch.cuda.is_available() 验证 CUDA。
+# 因此这里默认不强制要求 CUDA，避免基础测试因为未挂载 GPU 失败。
+# 如需强制测试 CUDA，可在运行 test.sh 时设置 REQUIRE_CUDA=1。
+REQUIRE_CUDA="${REQUIRE_CUDA:-0}"
+
+echo "REQUIRE_CUDA=${REQUIRE_CUDA}"
+
+pass() {
+    echo "✓ $1"
+}
+
+fail() {
+    echo "✗ $1"
+    exit 1
+}
+
+check() {
+    local name="$1"
+    shift
+
+    echo "检查 ${name}..."
+    if "$@"; then
+        pass "${name}"
+    else
+        fail "${name}"
+    fi
+}
+
+echo
+echo "=== 1. Python / PyTorch Import 检查 ==="
+
+check "python3 存在" command -v python3
+
+check "import torch / torchvision / torchaudio" python3 - <<'"'"'PY'"'"'
+import torch
+import torchvision
+import torchaudio
+
+print("torch:", torch.__version__)
+print("torchvision:", torchvision.__version__)
+print("torchaudio:", torchaudio.__version__)
+print("torch path:", torch.__file__)
+PY
+
+
+echo
+echo "=== 2. CPU 基础功能检查 ==="
+
+check "CPU Tensor 计算" python3 - <<'"'"'PY'"'"'
+import torch
+
+x = torch.randn(512, 512)
+y = torch.randn(512, 512)
+z = x @ y
+
+assert z.shape == (512, 512)
+assert torch.isfinite(z).all()
+
+print("CPU matmul OK")
+PY
+
+
+check "Autograd 自动求导" python3 - <<'"'"'PY'"'"'
+import torch
+
+x = torch.tensor([1.0, 2.0, 3.0], requires_grad=True)
+y = (x * x).sum()
+y.backward()
+
+expected = torch.tensor([2.0, 4.0, 6.0])
+assert torch.allclose(x.grad, expected)
+
+print("Autograd OK")
+PY
+
+
+echo
+echo "=== 3. CUDA 环境信息检查 ==="
+
+if command -v nvidia-smi >/dev/null 2>&1; then
+    echo "检测到 nvidia-smi:"
+    nvidia-smi || true
+else
+    echo "未检测到 nvidia-smi，跳过 nvidia-smi 检查"
+fi
+
+if command -v nvcc >/dev/null 2>&1; then
+    check "nvcc --version" nvcc --version
+else
+    if [ "${REQUIRE_CUDA}" = "1" ]; then
+        fail "REQUIRE_CUDA=1，但未找到 nvcc"
+    else
+        echo "未找到 nvcc，跳过 nvcc 检查"
+    fi
+fi
+
+
+echo
+echo "=== 4. PyTorch CUDA 功能检查 ==="
+
+check "torch CUDA 状态查询" python3 - <<PY
+import torch
+
+require_cuda = "${REQUIRE_CUDA}" == "1"
+
+print("torch version:", torch.__version__)
+print("torch cuda version:", torch.version.cuda)
+print("cuda available:", torch.cuda.is_available())
+print("cuda device count:", torch.cuda.device_count())
+
+if require_cuda:
+    assert torch.cuda.is_available(), "torch.cuda.is_available() is False"
+    assert torch.cuda.device_count() > 0, "No CUDA device found"
+else:
+    if not torch.cuda.is_available():
+        print("CUDA not available, skip GPU assertion")
+PY
+
+
+if [ "${REQUIRE_CUDA}" = "1" ]; then
+    check "GPU Tensor 计算" python3 - <<'"'"'PY'"'"'
+import torch
+
+assert torch.cuda.is_available(), "CUDA is not available"
+
+device = torch.device("cuda:0")
+
+print("GPU name:", torch.cuda.get_device_name(0))
+
+x = torch.randn(1024, 1024, device=device)
+y = torch.randn(1024, 1024, device=device)
+z = x @ y
+
+torch.cuda.synchronize()
+
+assert z.is_cuda
+assert z.shape == (1024, 1024)
+assert torch.isfinite(z).all()
+
+print("GPU matmul OK")
+PY
+else
+    echo "REQUIRE_CUDA=0，跳过 GPU Tensor 计算"
+fi
+
+
+echo
+echo "=== 5. torchvision / torchaudio 基础功能检查 ==="
+
+check "torchvision transforms" python3 - <<'"'"'PY'"'"'
+import torchvision.transforms as T
+
+transform = T.Compose([
+    T.Resize((224, 224)),
+    T.ToTensor(),
+])
+
+assert transform is not None
+print("torchvision transforms OK")
+PY
+
+
+check "torchaudio import" python3 - <<'"'"'PY'"'"'
+import torchaudio
+
+print("torchaudio version:", torchaudio.__version__)
+print("torchaudio OK")
+PY
+
+
+echo
+echo "=== 所有 PyTorch 容器基础测试通过 ==="
+'
+
+echo "✓ 镜像 ${IMAGE} 功能测试通过"
+exit 0
\ No newline at end of file
diff --git a/frameworks/pytorch/2.11.0/test_result.png b/frameworks/pytorch/2.11.0/test_result.png
new file mode 100644
index 0000000000000000000000000000000000000000..53eb6b3807245bf88ce9dc07eabfe3d9b457bdc5
Binary files /dev/null and b/frameworks/pytorch/2.11.0/test_result.png differ