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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.
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.
The framework desktop has unified memory iirc, and that can obviously use any os
I didn't realize they were making desktops. I almost bought a laptop from them a few years ago but ended up finding an ASUS laptop that worked well with Linux and was significantly cheaper which fit my needs better for that. I'll check them out.
Yeah they have soldered ram and cpu but have stays halo so ig that's fine
So just glancing at the site, are these basically laptop CPU and RAM parts just packaged in a desktop form-factor case and that's why they're soldered? Seems like they also don't have much expansion capability much like a laptop such as only having a single PCI-E x4 slot with a proprietary connection interface, so I couldn't later add a graphics card for example. Unless, I'm just missing something, and if so please let me know.
Either way thanks for letting me know about the option.
The main benefit is the strix halo cpu uses unified memory, thats why it's soldered, not bc it uses laptop parts
Ok, so short, wide bus from CPU to memory? Makes sense. I didn't really mean the CPU so much as the main board is very laptop like. Very little expansion capabilities other than external connectors like audio, Ethernet, etc., but no ability to add functional or incremental upgrades like a GPU or an additional stick of memory respectively.
The point of the stays halo series is the unified memory, so an additional GPU wouldn't be very useful, no?
GPU has longer more specialized processing that is significantly better at doing certain things than a generalized CPU. Things that benefits from tons of parallel threads more than being able to react more quickly to changing conditions will process significantly faster on a GPU than a CPU. Having the ability to add more parallel processing units (I.e. additonal GPUs is a huge advantage in crypto, machine learning analysis, video and 3D polygon rendering, etc. Basically things that have tons of work to get done, and that set of work is unlikely to be affected by the outcome of work running in parallel. A CPU needs ro balance that fact that it wastes a ton of processing if it tries to calculate something that is more dynamic. The content of the pixels in a video, or needing to process the entire set of millions of relationships to reach a conclusion will benefit from the GPU and adding more GPUs in parallel benefits more because most of those workloads will always be extremely large multiples of the number of threads in a single GPU. In a CPU, things like unpredictability of human input or branching logic that has too many possible branches to just calculate them all in the hopes that one of those branches might be the one that actually gets used, so the threads calculate much smaller units and adding more CPU cores/threads then has greatly decreasing return on investment because either you have to wait for something to actually happen or you haven't calculate all the most probable outcome and waste a ton of work. The shorter threads mean less efficient at complex calculation, but getting results that some other process is waiting in faster.
Anyway, there's a reason we still have GPUs and dont just keep increasing CPU cores instead.
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.
Last time I checked it only runs well on M1 devices, with M2 being somewhat usable. M3 though M5 are a complete no-go unfortunately :(
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.
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.