Add TorchTPU entry

_additional_platforms/torch_tpu.json

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+{
+  "name": "TorchTPU",
+  "support_channel": "https://github.com/google-pytorch/torch_tpu/issues",
+  "stable": {
+    "linux": "pip3 install torch --index-url https://download.pytorch.org/whl/cpu && pip3 install torch-tpu"
+  }
+}

_get_started/additional_platforms/torch_tpu.md

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+# Installing on Google Cloud TPU (TorchTPU)
+
+**TorchTPU (`torch_tpu`)** is a native PyTorch backend built for Google Cloud Tensor Processing Units (TPUs). It enables Google Cloud TPUs to run PyTorch workloads natively by integrating as a `PrivateUse1` backend using the dispatch key `"tpu"`. TorchTPU supports eager execution, `torch.compile()`, distributed training (`torch.distributed`, `DTensor`, `FSDP2`), and custom kernels (`Pallas`, `Helion`).
+
+## Prerequisites
+
+### Hardware Requirements
+
+* A provisioned Google Cloud TPU VM (TPU v5e, v5p, v6e, or v7x) on Google Compute Engine (GCE), access to Google Kubernetes Engine (GKE) cluster, or a TPU runtime in Google Colab.
+
+### Software Requirements
+
+* Linux (Ubuntu 22.04+ recommended)
+* Python >= 3.10
+* `libtpu` runtime library (automatically installed with `torch-tpu`)
+
+## Installation
+
+### pip
+
+```bash
+pip3 install torch --index-url https://download.pytorch.org/whl/cpu && pip3 install torch-tpu
+```
+
+Use the `pip` package manager to install the CPU build of PyTorch alongside `torch-tpu`. Select your preferred options in the selector above to get the installation command.
+
+## Verification
+
+To ensure that PyTorch was installed correctly with TorchTPU support, run the following code:
+
+```python
+import torch
+device = torch.device("tpu")
+
+x = torch.randn(2, 2, device="tpu")
+y = torch.randn(2, 2, device="tpu")
+z = x.mm(y)
+
+print(z)
+```
+
+The following, or a similar output, indicates successful installation:
+
+```bash
+tensor([[-0.4218,  0.8912],
+        [ 0.1534, -1.1045]], device='tpu:0')
+```
+
+## Documentation
+
+For more information, please visit:
+
+* [TorchTPU Official Documentation & User Guide](https://google-pytorch.github.io/torch_tpu/)
+* [Supported vs. Unsupported Feature Matrix](https://github.com/google-pytorch/torch_tpu/blob/main/docs/features_matrix.md)
+* [Google Cloud TPU Documentation](https://cloud.google.com/tpu/docs)
+* [GitHub Repository](https://github.com/google-pytorch/torch_tpu)
+* [PyPI](https://pypi.org/project/torch-tpu/)