xpu: add XPU to additional pages

_additional_platforms/xpu.json

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+{
+  "name": "XPU",
+  "support_channel": "https://github.com/pytorch/pytorch",
+  "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 is a PyTorch device backend designed to support hardware acceleration on Intel GPUs. Key technical features:
+
+* Native support for FP32, BF16, FP16, and Automatic Mixed Precision (AMP)
+* Extensions of operator set through custom SYCL kernels
+* Graph compilation
+* Distributed training (through `XCCL`)
+
+## Prerequisites
+
+### Hardware Requirements
+
+* Intel Client GPU:
+
+  * Intel® Arc A-Series Graphics (CodeName: Alchemist)
+  * Intel® Arc B-Series Graphics (CodeName: Battlemage)
+  * Intel® Core™ Ultra Processors with Intel® Arc™ Graphics (CodeName: Meteor Lake-H)
+  * Intel® Core™ Ultra Processors (Series 2) with Intel® Arc™ Graphics (CodeName: Arrow Lake-H)
+  * Intel® Core™ Ultra Mobile Processors (Series 2) with Intel® Arc™ Graphics (CodeName: Lunar Lake)
+  * Intel® Core™ Ultra Mobile Processors (Series 3) with Intel® Arc™ Graphics (CodeName: Panther Lake)
+
+* Intel Data Center GPU:
+
+  * Intel® Data Center GPU Max Series (CodeName: Ponte Vecchio)
+
+### Software Requirements
+
+* [Intel GPU Driver](https://www.intel.com/content/www/us/en/developer/articles/tool/pytorch-prerequisites-for-intel-gpu.html)
+* Python 3.10 or later
+
+## 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.")
+```
+
+## Documentation
+
+For more information, please visit the [Getting Started on Intel GPU](https://docs.pytorch.org/docs/stable/notes/get_start_xpu.html).