Earlier quoted context omitted.
As someone who worked on the M2 Mac Pro and has a real soft spot for it, I get it. It’s horrendously expensive and doesn’t offer much benefit over a Mac Studio and a thunderbolt pci chassis. My personal dream is that vms would support pci pass through and so you can just spin up a Linux vm and let it drive the gpus. But at that point, why are you buying a Mac? Opinions are my own obvs.
do / did you have to always work in the office or do you get to work from home by taking a test rig with you ? always been curious about this
Apple discontinues the Mac Pro
651–660 of 672 posts
Re: Apple discontinues the Mac Pro
#652Earlier quoted context omitted.
As someone who worked on the M2 Mac Pro and has a real soft spot for it, I get it. It’s horrendously expensive and doesn’t offer much benefit over a Mac Studio and a thunderbolt pci chassis. My personal dream is that vms would support pci pass through and so you can just spin up a Linux vm and let it drive the gpus. But at that point, why are you buying a Mac? Opinions are my own obvs.
> My personal dream is that vms would support pci pass through and so you can just spin up a Linux vm and let it drive the gpus. SR-IOV is just that? and is well supported by both Windows and Linux.
Re: Apple discontinues the Mac Pro
#653Earlier quoted context omitted.
> Apple’s desktop Macs actually all have modular SSD storage "Modular" does not mean that it's serviceable, repairable or upgradable. Apple's refusal to adopt basic M.2 spec is a pretty glaring example of that.
> Apple's refusal to adopt basic M.2 spec I get the ideological angle, but in practical terms that's not a barrier: https://www.aliexpress.us/w/wholesale-apple-ssd-adapter.html...
Re: Apple discontinues the Mac Pro
#654Earlier quoted context omitted.
I don’t think it’s about literally shrinking the models via quantization, but rather training smaller/more efficient models from scratch Smaller models have gotten much more powerful the last 2 years. Qwen 3.5 is one example of this. The cost/compute requirements of running the same level intelligence is going down
There are no practically useful small models, including Qwen 3.5. Yes, the small models of today are a lot more interesting than the small models of 2 years ago, but they remain broadly incoherent beyond demos and tinkering.
A lot of people got a bad first impression about the 3.5 models for a few different reasons. Llama.cpp wasn't able to run them optimally, tool calling was broken, the sampling parameters weren't documented completely, and some poor-quality quants got released. Now that these have all been addressed, they are serious models capable of doing serious business on reasonably-accessible hardware.
Re: Apple discontinues the Mac Pro
#655Earlier quoted context omitted.
> ...making the perfect hardware for home inference machines. I really don't get why anybody would want that. What's the use case there? If someone doesn't care about privacy, they can use for-profit services because they are basically losing money, trying to corner the market. If they care about privacy, they can rent cloud instances in order to setup, run, close and it will be both cheaper, faster (if they can affo…
I think the main use case is home automation. You don't want details of your home setup leaking out.
... that being said, and I did read https://www.home-assistant.io/blog/2025/09/11/ai-in-home-ass... or even have use a local modal for STT but IMHO it's not good, definitely not worth buying a $4k device for. It doesn't generate good rules, it gets some commands but it's quite basic. So I understand the concept but so far I haven't seen anything good enough to warrant such a purchase for such a very very specific niche. I can imagine literally a couple of persons interested in this but I'd bet they'd also have a GPU laying around that could be available for that too.
TL;DR: technically not impossible, I doubt it's a popular use case.
Re: Apple discontinues the Mac Pro
#656Earlier quoted context omitted.
Huh? What local LLM apis? It uses Metal.
The application development APIs, ie: https://developer.apple.com/documentation/technologyoverview...
OP said "work stations" which is implying Macbook Pros and Studios.
Re: Apple discontinues the Mac Pro
#657Apple really dropped the ball here. They had every ability to make something competitive with Nvidia for AI training as well as inference, by selling high end multi GPU Mac Pro workstations as well as servers, but for some reason chose not to. They had the infrastructure and custom SoCs and everything. What a waste. It really could have been a bigger market for them than even the iPhone.
Nah, Apple made the right choice. Nobody except a niche market of hobbyists is interested in running tiny quantized models.
At some point, they will converge and an inflection for local LLMs will happen. Local LLMs will never be as smart or fast as cloud LLMs but they will be very useful for lower value tasks.
Re: Apple discontinues the Mac Pro
#658Earlier quoted context omitted.
$3.5k is a lot of money, but not a ton by American hobby standards. It's easy to spend multiples, even orders of magnitude more than that on hobbies like fishing, wine, sports tickets, concerts, scuba, travel, being a foodie, golf, marathons, collectibles, etc. It's out of reach for lots of people, even in developed countries. But it's easily within reach for loads of people that care more about computing than other…
I live in America, I am very well compensated. Have been for 15 years now. $3500 is a lot of money. A lot. There is a tiny bubble of us tech folks who think it is accessible to most people. It is not. It is also the same reason Macs are still a niche. Don't take your circles to be the standard, it is very very far from it, especially if you think $3500 is not a lot of money. It is easy to confirm this, just look at t…
$3500 is more than I would spend on a hobby too, but there are, in absolute terms, a large number of Americans who can spend this much on their hobbies.
Re: Apple discontinues the Mac Pro
#659Earlier quoted context omitted.
What MoE has to do with it? Aside from Flash-MoE that supports exactly one model and only on macOs - you still need to load entire model into memory. You also don't know what experts going to be activated, so it's not like you can predict which needs to be loaded.
With proper mmap support you don't really need the entire model in memory. It can be streamed from a fast SSD, and this is more useful for MoE models where not all expert-layers are uniformly used. Of course the more data you stream from SSD, the slower this is; caching stuff in RAM is still relevant to good performance.