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Update linux entry and torch stable version to 2.15.0 for CUDA ARM64 #2149

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Update linux entry and torch stable version to 2.15.0 for CUDA ARM64 #2149

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4d5bd2d
Update linux entry and torch stable version to 2.15.0 for CUDA ARM64
nkhasbag-nv Oct 28, 2026
fb6e085
Merge branch 'site' into cuda-woa-updates
nkhasbag-nv Oct 29, 2026
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6 changes: 4 additions & 2 deletions _additional_platforms/cuda_woa.json
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Expand Up @@ -2,9 +2,11 @@
"name": "CUDA 13.4 ARM64",
"support_channel": "https://github.com/pytorch/pytorch/issues",
"stable": {
"windows": "python -m pip install \"torch==2.14.0+cu134\" \"torchvision==0.29.0+cu134\" \"torchaudio==2.11.0+cu134\" --extra-index-url https://pypi.nvidia.com/nvtorch_oot/"
"windows": "python -m pip install \"torch==2.15.0+cu134\" \"torchvision==0.29.0+cu134\" \"torchaudio==2.11.0+cu134\" --extra-index-url https://pypi.nvidia.com/nvtorch_oot/",
"linux": "Please go to getting started page for installation instructions: https://pytorch.org/get-started/locally/"
},
"preview": {
"windows": "python -m pip install --pre torch torchvision torchaudio --extra-index-url https://pypi.nvidia.com/nvtorch_oot_nightly/"
"windows": "python -m pip install --pre torch torchvision torchaudio --extra-index-url https://pypi.nvidia.com/nvtorch_oot_nightly/",
"linux": "Please go to getting started page for installation instructions: https://pytorch.org/get-started/locally/"
}
}
4 changes: 2 additions & 2 deletions _get_started/additional_platforms/cuda_woa.md
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Expand Up @@ -21,7 +21,7 @@
### pip

```bash
python -m pip install "torch==2.14.0+cu134" "torchvision==0.29.0+cu134" "torchaudio==2.11.0+cu134" --extra-index-url https://pypi.nvidia.com/nvtorch_oot/
python -m pip install "torch==2.15.0+cu134" "torchvision==0.29.0+cu134" "torchaudio==2.11.0+cu134" --extra-index-url https://pypi.nvidia.com/nvtorch_oot/
```

Use the `pip` package manager to install PyTorch, TorchVision and TorchAudio with CUDA support from the NVIDIA package index. Select your preferred options in the selector above to get the installation command. Nightly builds are available from `https://pypi.nvidia.com/nvtorch_oot_nightly/`.
Expand Down Expand Up @@ -50,7 +50,7 @@ else:
The following, or a similar output, indicates successful installation:

```bash
2.14.0+cu134
2.15.0+cu134
CUDA is available!
CUDA devices: 1
Device name: NVIDIA ...
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