# Discover a simpler way to install PyTorch tailored to your hardware: Wheel variants for Release 2.8 are now available for testing on the PyTorch test channel

**URL:** <https://dev-discuss.pytorch.org/t/discover-a-simpler-way-to-install-pytorch-tailored-to-your-hardware-wheel-variants-for-release-2-8-are-now-available-for-testing-on-the-pytorch-test-channel/3166>\
**Category:** release/packaging\
**Created:** [August 2, 2025, 1:09pm UTC](https://dev-discuss.pytorch.org/t/discover-a-simpler-way-to-install-pytorch-tailored-to-your-hardware-wheel-variants-for-release-2-8-are-now-available-for-testing-on-the-pytorch-test-channel/3166 "2025-08-02T13:09:59Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![atalman](https://yyz2.discourse-cdn.com/flex036/user_avatar/dev-discuss.pytorch.org/atalman/32/1857_2.png) [@atalman](https://dev-discuss.pytorch.org/u/atalman)\
**Post date:** [August 2, 2025, 1:09pm UTC](https://dev-discuss.pytorch.org/t/discover-a-simpler-way-to-install-pytorch-tailored-to-your-hardware-wheel-variants-for-release-2-8-are-now-available-for-testing-on-the-pytorch-test-channel/3166/1 "2025-08-02T13:09:59Z")

</div>

In collaboration with [Astral](https://astral.sh/), [NVIDIA](https://www.nvidia.com/en-us/), and [Quansight](https://quansight.com/) PyTorch team have produced an experimental set of Wheels for Release 2.8.

### **What are Wheel Variants ?**

- Wheel variants are a mechanism for publishing platform-dependent Python wheels and selecting the most suitable package variant for a given platform.

- This approach helps to remove the need for local identifier experience in PyTorch packaging and enhance user experience installing PyTorch

- Please see [this RFC](https://github.com/pytorch/pytorch/issues/159714) for more information.

### **What is currently supported ?**

The following variants will be supported for PyTorch 2.8.0:

- CUDA 12.6: Linux X86 and Windows X86

- CUDA 12.8: Linux X86 and Windows X86

- CUDA 12.9: Linux X86, Linux aarch64 CPU and GPU, Windows X86

- CPU only: Linux, Linux aarch64, MacOS M1 and Windows CPU Only

### **How to test it ?**

​​You can start using it today by installing Final RC for PyTorch 2.8.0 with the variant-enabled uv, which will automatically choose the best PyTorch build for your machine’s GPU.

Using Linux/MacOS:

```auto
curl -LsSf https://astral.sh/uv/install.sh | INSTALLER_DOWNLOAD_URL=https://wheelnext.astral.sh sh
uv pip install torch torchvision

```

Using Windows:

```auto
powershell -ExecutionPolicy Bypass -c “$env:INSTALLER_DOWNLOAD_URL=‘https://wheelnext.astral.sh’; irm https://astral.sh/uv/install.ps1 | iex”
uv pip install torch torchvision

```

If there are any questions, please feel free to reach out.

Cheers,

Team PyTorch