Earlier quoted context omitted.
I was actually pretty far off: > Unified memory in Linux creates a single address space accessible to both the CPU and GPU, eliminating the need to manually copy data between system RAM and video memory. It is enabled via NVIDIA's CUDA, AMD's ROCm/HIP, or generic kernel-level Heterogeneous Memory Management (HMM). So it does exist and is available for platforms that matter.
It is interesting how apple claimed that "unified memory" is something special, and ppl believed them. Intel and AMD had been doing this for years already, and had linux support for it from day 1.
Apple Silicon Exec Explains Mac Mini AI Demand and On-Device Future
111–120 of 327 posts
Re: Apple Silicon Exec Explains Mac Mini AI Demand and On-Device Future
#112What I’m not sure to understand is that if you want to just run Claude code or openclaw type software with llm apis or subscriptions (and not run local models) to benefit from a local file system and always-on capability for ‘second brain’ type of workflows, I guess you don’t need a Mac mini but can run it on a raspberry pi or an old laptop ? Does anyone have experience with that ?
Re: Apple Silicon Exec Explains Mac Mini AI Demand and On-Device Future
#113Earlier quoted context omitted.
so you have invent unified memory for linux first because that’s the limitation today
Raspberry Pi and other SBCs, Android phones and practically all of the embedded devices with a display and microprocessor. All have unified memory. Linux runs just fine on all of those.
Re: Apple Silicon Exec Explains Mac Mini AI Demand and On-Device Future
#114Earlier quoted context omitted.
Raspberry Pi and other SBCs, Android phones and practically all of the embedded devices with a display and microprocessor. All have unified memory. Linux runs just fine on all of those.
Dude, https://news.ycombinator.com/item?id=48858095
Re: Apple Silicon Exec Explains Mac Mini AI Demand and On-Device Future
#115These execs are so out of touch they believe Apple hardware to be "a system that's under their control", how does it come to this? Besides, a VM without bi-directional sharing of data gives you pretty much the exact same thing.
Did hundreds/thousands of developers really go out there and bought Mac Minis just because one prominent technology semi-celebrity happens to have used a Mac Mini for the development of their thing? Seems bananas people would spend hundreds on monies on something they barely grasp how it works.
Re: Apple Silicon Exec Explains Mac Mini AI Demand and On-Device Future
#116What I’m not sure to understand is that if you want to just run Claude code or openclaw type software with llm apis or subscriptions (and not run local models) to benefit from a local file system and always-on capability for ‘second brain’ type of workflows, I guess you don’t need a Mac mini but can run it on a raspberry pi or an old laptop ? Does anyone have experience with that ?
Yup, for openclaw and APIs you dont need a big PC. I run something lightweight on the RPI4 8gb. Many people run local LLMs which is where a mac is useful. Frankly I dont think you can beat the value of an openrouter subscription and API calls.
Unless you go for the very expensive options, most of the Mac Minis really aren't suitable for running local LLMs, they're painfully slow with prefill/processing input, and the models you are able to run don't handle long context very well, which these sort of long-running agents perform very differently with when you can.
I'll agree with your latter point, hard to beat the value of using something like OpenRouter or similar remote inference.
Even with local models, you can run the agent software and the inference workload on different hosts, which is what I'm doing at home. Beefy server responsible for inference, tiny VM on other server is running the actual agent software + RPC + bridges and what not.
Re: Apple Silicon Exec Explains Mac Mini AI Demand and On-Device Future
#117> "people often want a system that's under their control, isolated from their primary machine, and capable of running 24 hours a day, seven days a week," said Brooks. "A Mac mini is an amazing system for that," he added. These execs are so out of touch they believe Apple hardware to be "a system that's under their control", how does it come to this? Besides, a VM without bi-directional sharing of data gives you prett…
Re: Apple Silicon Exec Explains Mac Mini AI Demand and On-Device Future
#118Apple could probably sell a machine starting at $10,000 if they architected it as the sole place one’s Private Cloud Compute [1] ran. It would need a path to a $2,500 machine, I think. But this is a niche I don’t think another consumer-facing brand could do like Apple. [1] https://security.apple.com/blog/private-cloud-compute/
But that would be more for enterprise usage. I cannot imagine a personal computing usage which can justify a 10k machine.
Re: Apple Silicon Exec Explains Mac Mini AI Demand and On-Device Future
#119> "people often want a system that's under their control, isolated from their primary machine, and capable of running 24 hours a day, seven days a week," said Brooks. "A Mac mini is an amazing system for that," he added. These execs are so out of touch they believe Apple hardware to be "a system that's under their control", how does it come to this? Besides, a VM without bi-directional sharing of data gives you prett…
And all of that because Tim Apple fears any feature that could mean people could have less than one iDevice per person.
Re: Apple Silicon Exec Explains Mac Mini AI Demand and On-Device Future
#120> Apple's Mac mini and Mac Studio have become the machines of choice for running AI agents, according to Doug Brooks, Apple's senior product manager of Apple silicon. This is mostly an US phenomenon, no Mac mini nor Mac Studio around here. Only Thinkpads and Macbooks laptops talking to hyperscalers.
Around where? They're pretty popular for it in the UK right now given our obscene energy pricing as they end up being one of the best low power options for local llm. If you're not in the local llm space you obviously wouldn't see it. It's like saying Tennis isnt popular around here then admitting you dont frequent a tennis court so wouldn't even know.