# PyTorch macOS x86 builds deprecation starting January 2024

**URL:** <https://dev-discuss.pytorch.org/t/pytorch-macos-x86-builds-deprecation-starting-january-2024/1690>\
**Category:** Release Announcements\
**Created:** [November 30, 2023, 8:36pm UTC](https://dev-discuss.pytorch.org/t/pytorch-macos-x86-builds-deprecation-starting-january-2024/1690 "2023-11-30T20:36:47Z")\
**Posts on this page:** 3\
**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:** [November 30, 2023, 8:36pm UTC](https://dev-discuss.pytorch.org/t/pytorch-macos-x86-builds-deprecation-starting-january-2024/1690/1 "2023-11-30T20:36:47Z")

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Dear Team,

As new Intel Mac’s are no longer produced and with time fewer will remain in use, we will be stopping testing and eventually building macOS x86\_64 binaries after the release 2.2.0 is complete (mid January 2024). We will not be producing macOS x86\_64 binaries for Release 2.3.0.

Here is the reference issue: [114602](https://github.com/pytorch/pytorch/issues/114602)

The following binary builds will be deprecated:

- macOS x86\_64 Conda binaries for Python 3.8-3.11
- macOS x86\_64 Wheel binaries for Python 3.8-3.12

This change will affect the following projects: PyTorch, TorchVision, TorchAudio, TorchText, TorchData.

If you have any questions, please comment below or reach out to us on this thread.

Team PyTorch

#oneteam

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**Author:** ![ChatGPT-Guy](https://yyz2.discourse-cdn.com/flex036/user_avatar/dev-discuss.pytorch.org/chatgpt-guy/32/2764_2.png) [@ChatGPT-Guy](https://dev-discuss.pytorch.org/u/ChatGPT-Guy)\
**Post date:** [June 9, 2025, 2:50am UTC](https://dev-discuss.pytorch.org/t/pytorch-macos-x86-builds-deprecation-starting-january-2024/1690/2 "2025-06-09T02:50:18Z")

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I’m still running an Intel Mac, which is perfectly capable for many tasks — it’s disappointing to see official support dropped so soon. I understand resource constraints, but this makes it much harder for Intel users to run modern ML software without complex workarounds or switching hardware

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**Author:** ![stevenson3](https://yyz2.discourse-cdn.com/flex036/user_avatar/dev-discuss.pytorch.org/stevenson3/32/2839_2.png) [@stevenson3](https://dev-discuss.pytorch.org/u/stevenson3)\
**Post date:** [July 27, 2025, 12:34am UTC](https://dev-discuss.pytorch.org/t/pytorch-macos-x86-builds-deprecation-starting-january-2024/1690/3 "2025-07-27T00:34:43Z")

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@ChatGPT-Guy , I’m in the same boat (Old Mac problems). I managed to get it to work but it took me doing something I swore on my father’s sword I would NEVER do: I installed conda.

My steps:

1. From here: [Installing on macOS — conda 25.5.1 documentation](https://docs.conda.io/projects/conda/en/stable/user-guide/install/macos.html)
2. I went with conda forge: [conda-forge | community-driven packaging for conda](https://conda-forge.org/download/)
3. I chose the Intel x86\_64. This downloaded a 66MB shell script (!?).
4. In my downloads dir: `chmod +x Miniforge3-MacOSX-x86_64.sh` then execute this script.
5. QA this is run and setup correctly (the test is `which conda` resolves to the right path in your terminal so some $PATH updates will be required).
6. `Conda init` a new project
7. At long last you should be able to `conda install pytorch` and it should install from the build happening here: [GitHub - conda-forge/pytorch-cpu-feedstock: A conda-smithy repository for pytorch-cpu.](https://github.com/conda-forge/pytorch-cpu-feedstock?tab=readme-ov-file)

Best of luck. Maybe eventually I’ll cave and get a new Mac. Until then, stay strong… ✊