Selfhosted
A place to share alternatives to popular online services that can be self-hosted without giving up privacy or locking you into a service you don't control.
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honestly it’s hard to beat Macs these days in this space for two reasons:
pricing is tough. sure, crypto is on its way out, but GPUs are still the platform of choice for most neural net workloads (outside of SoCs like Apple M-series). i built a PC in late 2024, and it’s easily worth twice what i paid for it.
Yeah,but I dont want to get locked into a proprietary OS or have to put a lot of effort into hacking it to run Linux.
I haven’t looked into Asahi Linux in a while now, but I figured the experience would be pretty good by now. You don’t need to “hack” anything to get it to run. Last I read, there were just a few driver issues, but I haven’t looked into it in probably 2-3 years now.
super fair. i am a Linux guy normally. i’m just being honest. i wish there was a better more open alternative.
if you want to go with the Linux alternative it’s going to cost. get at least 32GB of RAM and at least a 4090 to run the kind of models you’re asking for. it’s the way she goes
The apple silicon is more energy efficient but the latest Intel and AMD CPUs deliver more processing power and can also share a significant amount of RAM to the GPU / AI components.
Depends what you want to do... For example I didn't get python whisper in a container to run on Mac in any way that can be called "performance" and I don't want my dev workflow to optimize for an OS I despise :D
well there’s your issue. i get not liking the OS, but actively crippling your project will cripple your project.
containers on macOS do kinda suck
That's sich a Mac answer it's unbelievable.
Describing "A project aimed to be agnostic of it's environment" as a design mistake and not a inherent flaw of the OS is... Just wow.
Remember in this thread it's about the pro and con of Macos as interference hardware. This is a major flaw which comes baked into the hardware. I tested it and find it an unacceptable limitation. It's important for others to know.
To state "containerization is the issue" though... Just wow.
Unfortunately containerisation on macos usually means running virtualized Linux, which of course is going to add overhead and cut off access to apple APIs and some hardware. So yep. There's plenty that runs natively.
thanks for clarifying. it was hard for me to dignify such a comment with a response.
you’re also going to run into hardware acceleration issues trying to run Metal acceleration with a Linux kernel. i don’t really see a need to containerize these workloads these days anyway with tools like
uv.it’s a big pain in my ass at times trying to do web dev work with an
aarch64-darwindev env vs the targetx86_64-linux. adding in hardware acceleration issues just sounds painful.i also just personally don’t like containers. feels like bludgeon of a solution.
Going to second this, its all my m2 does right now. Putting together a solution for the office with some m4s.
Its a lot of bang for the buck specifically for llm use despite being horribly overpriced otherwise.
spoiler
I wrote the vendor and asked him if the decimal was in the right place or was this the model that was beta testing alien technology. Got to be a misprint.