xpu: add XPU to additional pages

_additional_platforms/xpu.json

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+{
+  "name": "XPU",
+  "support_channel": "https://github.com/pytorch/pytorch/issues",
+  "stable": {
+    "linux": "pip3 install torch torchvision --index-url https://download.pytorch.org/whl/xpu",
+    "windows": "pip3 install torch torchvision --index-url https://download.pytorch.org/whl/xpu"
+  },
+  "preview": {
+    "linux": "pip3 install torch torchvision --pre --index-url https://download.pytorch.org/whl/nightly/xpu",
+    "windows": "pip3 install torch torchvision --pre --index-url https://download.pytorch.org/whl/nightly/xpu"
+  }
+}

_get_started/additional_platforms/xpu.md

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+# Installing on Intel GPU (XPU) Platform
+
+XPU device backend brings native Intel GPU support to PyTorch, enabling performant training and inference on both Linux and Windows.
+
+## Prerequisites
+
+The system with configured Intel GPU card is required. For detailed list of supported devices and driver install instructions refer to [Getting Started on Intel GPU](https://docs.pytorch.org/docs/stable/notes/get_start_xpu.html).
+
+## Installation
+
+### pip
+
+Use the pip package manager to install PyTorch with XPU support. Select your preferred options in the selector above to get the installation command.
+
+## Verification
+
+To ensure that PyTorch was installed correctly with XPU support, run the following code:
+
+```python
+import torch
+print(torch.__version__)
+
+# Check XPU availability
+if torch.xpu.is_available():
+    print("XPU is available!")
+    print(f"XPU devices: {torch.xpu.device_count()}")
+else:
+    print("XPU is not available.")
+```
+
+The following, or a similar output, indicates successful installation:
+
+```bash
+2.13.0+xpu
+XPU is available!
+XPU devices: 4
+```
+
+## Documentation
+
+For more information, please visit the [torch.xpu](https://docs.pytorch.org/docs/stable/xpu.html).