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From: vallor <vallor@cultnix.org>
Newsgroups: misc.phone.mobile.iphone,comp.os.linux.advocacy,comp.sys.mac.advocacy
Subject: Re: Apple requires too much money and sacrifice of control
Date: 23 Mar 2025 05:37:21 GMT
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Message-ID: <m49l0hFssvrU1@mid.individual.net>
References: <m49cm2Fr960U1@mid.individual.net> <vro4ik$1krdh$1@dont-email.me>
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On Sun, 23 Mar 2025 18:08:38 +1300, Your Name <YourName@YourISP.com> wrote
in <vro50m$1l5nv$1@dont-email.me>:

> On 2025-03-23 05:01:09 +0000, Your Name said:
> 
>> On 2025-03-23 03:15:14 +0000, vallor said:
>>> On Sat, 22 Mar 2025 19:17:14 -0700, Alan <nuh-uh@nope.com> wrote in
>>> <vrnqva$18oag$4@dont-email.me>:
>>> 
>>>> On 2025-03-22 14:52, Joel wrote:
>>>>> Alan <nuh-uh@nope.com> wrote:
>>>>> 
>>>>>>>>> [A souped up Mac mini] would match what I have with Linux [in
>>>>>>>>> support of needed apps and use].
>>>>>>>> What actual tasks do you use the computer to complete?
>>>>>>> 
>>>>>>> Keeping everything I run loaded at once.
>>>>>> 
>>>>>> What do you run, and what resources does each use?
>>>>> 
>>>>> 
>>>>> Take a look at my Cinnamon taskbar:  https://i.imgur.com/yPGDm6a.png
>>>> 
>>>> So nothing a Mac Mini with a base configuration couldn't easily handle.
>>> 
>>> I've owned two Mac Minis -- it's notebook hardware that runs slow as
>>> molasses.
>>> 
>>> We have a Mac Studio now, which was _way_ overpriced for what we got.
>>> Probably the most intensive application I've tried on it is Fooocus
>>> (which uses pyTorch), and I'd roughly estimate it is 1/4 the speed
>>> of my Linux workstation.
>>> 
>>> (You might blame pyTorch for that, as perhaps it doesn't use
>>> the GPU/NPU --
>> 
>> Almost certainly.
>> 
>> If it's an older version of PyTorch, then possibly you are running the 
>> Intel Mac version on the Mac Studio via Rosetta x86 emulation, which 
>> would be slower than running a newer Apple Silicon version.
>> 
>> Enable the GPU on Apple Silicon Macs means making changes to the 
>> PyTorch settings, which you may already have done:
>> <https://wiki.cci.arts.ac.uk/books/how-to-guides/page/enable-gpu-support-with-pytorch-macos> 
>> 
>> <https://medium.com/@mustafamujahid01/pytorch-for-mac-m1-m2-with-gpu-acceleration-2023-jupyter-and-vs-code-setup-for-pytorch-included-100c0d0acfe2> 
>> 
> 
> Apparently there are also speed differences depending on how you 
> installed the MacOS version of PyTorch (conda vs PyPI):
> <https://github.com/pytorch/pytorch/issues/2163>

Thank you!  I will give that a try.

-- 
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