r/MacStudio

I'm wondering how many people here are buying high-memory Macs not just because they want one now, but because they think the window for affordable, capable local AI hardware is closing.

My reasoning: between datacenter demand eating memory supply and the growing odds of regulation as agent incidents pile up, I think high-VRAM / unified memory machines get more expensive and possibly restricted, sooner rather than later.

I’m trying to decide between buying a 64GB Mac mini as an always on home node, or spending roughly $12,000 AUD more and getting a 256GB Mac Studio.

My main use case is building a personal AI assistant / second brain. I’d like something always on that I can access remotely, connect to my documents, notes, calendar, personal projects, etc., and eventually build more agentic workflows around.

The sensible option seems to be the Mac mini. I could run Codex/cloud frontier models for the actual intelligence and use the Mini as the always-on execution layer. It would also handle storage, databases, RAG, automations, smaller local models, remote access, etc.

The Mac Studio appeals to me because I could run genuinely large models locally I.e GPT OSS 120B and other ~100B+ models — and keep sensitive documents and personal context completely local. I’m also interested in experimenting with local AI/ML more generally, so part of the appeal is simply having a powerful AI playground at home.

My concern is that I’ll spend all this money on the Studio, spend weeks getting my local setup perfect, and then realise that frontier models are substantially better and I still default to ChatGPT/Codex for most things.
There’s also a 512GB Mac Studio, but I’ve more or less ruled that out. I can’t currently identify enough useful models that require >256GB but fit within 512GB to justify the extra cost. 256GB feels like the point where I can run almost everything I’m realistically interested in while still being somewhat financially comfortable with the purchase.

So I’m basically choosing between:
64GB Mac mini: inexpensive, low-power always-on node + Codex/frontier cloud models.
256GB Mac Studio: ~$12k AUD more, but becomes a serious local AI workstation capable of running large models privately and giving me a platform to experiment with local AI over the next several years.

For people who actually run large models locally: did having 128–256GB+ of unified memory meaningfully change what you use local AI for, or did you eventually find yourself going back to frontier APIs anyway?

Ordered a m5 pro / upgraded cpu / 64GB ram / 512gb but considering cancelling and jumping up to the m5 max studio / 64GB ram instead.

Use cases will be home server and local AI box, as well as remoting into via my M1 Pro MacBook Pro for LLM work.

I generally prefer the smaller footprint of the Mac mini, and ordered the highest spec to give me the most future proof performance in that footprint.

My issue is that for $600 more I’d get double the memory bandwidth, better cooling (which should protect against throttling), and double the gpu cores. I don’t care about the additional ports besides I have a doc.

Anyone with similar setup that preferred and stuck with the mini? Or anyone that was in this same boat but happy they went to a studio?

With orders for the 512GB configuration getting closer, and looking at the current prices, I’m starting to wonder about my options.

If the upgrade from 256GB to 512GB ends up costing $5,500 or more, that’s roughly the price of another M5 Ultra with 96GB and a 1TB SSD ($5,499 before tax).
So I’m considering keeping the 256GB Studio as a dedicated AI server and buying the 96GB model as my main computer. The agent harness and tools would run on my everyday Mac, connected to the model server over Ethernet.

I’d like the AI to keep working on tasks while I use my computer for work, photo editing and some video editing, without having to stop everything or unload models.

I know 256GB + 96GB doesn’t give me the same flexibility as 512GB on one machine. My main model and its context would still have to fit on the 256GB server. Clustering would be something to experiment with later.
Anyone here running their model on one Mac and their agent harness on another? Any noticeable latency or issues with tool calls? Has having a dedicated AI machine been worth it?
At a similar total cost, which setup would you choose?
Thanks !

Translate and refined by AI.

Ok first, this machine was absolutely amazing. I spent over a week testing every llm, inference engine, quant, bit, variant I could throw at it. Even built some automated testing, so that I could simply change the model, hit test and it would do a medium-difficulty coding task via prompt 6 times in a row, testing slightly different reasoning, and temperatures. That was great, my results were pleasantly surprising, and the speeds were more than I had hoped for.

The problem is I was in 90+% memory pressure the whole time, and I could still game (wow forever) while the LLMs were running somehow without stuttering or barely at all. All things considering, this machine is more than I could have hoped for, except I need more... More what though... I want next/next-flash models and you need 128 for that. My questions for that is do you still have enough resources left over to use the machine or is it headless at that point because its tight? Also, with the difference, do those models actually produce measurably better results?

My current thinking is that if the difference is neglibable, then I will go for the binned Ultra, which gives me more breathing room, and double memory bandwidth even though speed isnt the issue. The end goal was to collapse my m4 mini, and gaming desktop into that one machine to kind of do all the things it does now and more. I've been tinkering with blender, unity, various MCPs and I am well aware this would never replace cloud models and that isn't the goal. However, it could easily handle 50-70% of the work and leave planning and more difficult stuff to gpt/claude/grok.

Anyone else been through something similar, looking for opinions, thoughts. I dont make money from any of this and in the future if I did that would be great, but this is 1 part "want" and 1 part "potential to do....".

Wanted to post this on local llama but couldn’t, being strapped financially and gun to your head one or the other, what’s the best option here? Do I have what I need with my current GPU’s to run the best local models or is it worth trying to go for the 512 or 256 Mac Studio?

I don’t want to bottleneck and I want to be able to run the best local models possible (within reason obv)

Hi,

My background is Linux. I haven't bought an Apple product since one of the earliest iPods.

I'm looking at buying a Pro. I think I could save some money and maybe gain some performance by buying a 1TB version and then pulling that SSD and cloning that onto a nice 4 TB Samsung.

Spending this kind of $, I will for sure pay for Applecare. Although this machine will never get anything spilled on it, the idea that that if the mainboard fails just as a defect it will be fixed makes that essential.

Looking at the fine print for Applecare, it says that if the machine has ever been opened, then you're not covered even if that is not the cause of the failure. Any thoughts or experience with this?

I may just have to pony up and buy more storage from Apple.

Thanks!

This is my first reddit post. I thought I'd share the news of my latest purchase,which is an M5 Ultra Mac Studio. I've gone for 96GB Ram, 2TB storage, 30 core CPU. I'm replacing a 7 year old (then high spec) PC laptop. Overkill? Maybe. My productions are extremely complex, everything in software. I want the option to go really wild with plugins when I want to (which is not always). I do not want to mess around moving to a new system for the next 5-7 years, and am encouraged to hear how peoples' M1 and M2 systems after 3-4 years are still doing what people want. Today's high spec computer is tomorrow's "still doing well" computer. I am a PhD in Music Technology (Computing) and want to explore other areas of computing outside of music production. Finally, I just wanted something with insane power. I realise this isn't 100% logical but I've been saving for this since the M3 Ultra Mac Studio launch (I didn't get this model because of its single core speed). I intend to post reviews which I hope people will find interesting.

I’m a filmmaker & audio post person, and used my M1 studio for film work. I got my M5, but I keep seeing all these AI related comments, and wondering, what the heck is going on? Is this something that could have the slightest relevance to my work? Or is it all programming our new robot overlords? Thanks.

Saw an m4 max studio on sale for 2000 with base specs but 1tb storage. A similar build with the new M5max would be about 2900. Should I go with the older on sale model or take the hit on the new bit more expensive version?

A week ago I posted some Darkbloom numbers here. I said $2–4 a day. That's still about right for a lot of Macs, but the bigger Macs have been doing better far than that, so here's an update from the providers Slack and the public network stats.

What Macs actually earned this week (paid work only, Macs with a model loaded; not a forecast, it moves with demand):

- 64 GB, recent chip (M4/M5 Max): about $2–4 a day

- 96–128 GB with a recent Max or Ultra chip: about $3–5 a day, $5–6 on good days

- M5 Ultra: several providers reported $6–8 a day, with one $10+ day

- My own M5 Pro 48 GB does about $2.50 a day

Note: Please don't buy a Mac solely for this. While yes, if you do enough math, it can make sense to offset some of the upfront cost of buying a Mac, but only over the course of at least 1.5 years, so keep that in mind.

Demand keeps showing up. Darkbloom has served about 450 billion tokens in the six weeks since paid requests started, and added six models in the last month. This week Qwen3.8 demand roughly doubled for a few days, gpt-oss requests grew about 30%, and a new large model (MiMo) launched. Whole-network traffic is about 4.4–4.9 million requests a day.

Why I trust the team. I'm not affiliated with Darkbloom or Eigen Labs, but I've been in their Slack daily for a month (and have been building a companion app called Bloomgauge):

- They post a monthly update with real numbers and say what's not working.

- When Autopilot (their new auto model-picker) launched with bugs, fixes shipped the same night, twice.

- When withdrawals failed for some people, they refunded them, moved payouts to Stripe (providers report money arriving in minutes), and audited the ledger.

- When providers said a new model paid almost nothing, they changed its price two days later.

- The coordinator (the part that routes requests) is public on GitHub.

It's not perfect. Payouts in some countries are still rough, and earnings swing as they tune routing. But they answer in public and fix things fast.

The app. Setting Darkbloom up and keeping it earning takes a lot of effort, even if you are technical, so I built BloomGauge, a free Mac app, alongside other devs in the Darkbloom community:

- Setup in a few clicks, no Terminal: it checks your Mac, installs Darkbloom, and you make an account in your browser.

- Keeps it earning: holds the model that pays best on your Mac, reloads it after Darkbloom unloads it, and recovers stalls by itself.

- Shows what you actually earn: confirmed earnings per model and per hour, network demand, and why a Mac isn't earning when it isn't.

- Phone control: check in and switch models from your phone.

Needs an Apple Silicon Mac with 36 GB+ memory (macOS 27 recommended). Free, no account. Source is on GitHub (source-available).

Website: https://bloomgauge.io/?ref=reddit-macstudio

Source: https://github.com/cookder/bloomgauge

Big-Mac owners: what does yours earn? Especially Ultras and 128 GB+.

Screenshots from the app:

Main Pulse Dashboard, customizable

Model Demand Tracker

Daily Replay

Model Switcher Customization

Apparently at 512gb you get half the transfer rates, 6GBps to 12 as I’ve seen in the benchmarks posted here

Just checking in on the consensus for deisgn here.

Is it a good iodea to try and run a specific agent on a 64gb m5max, while the main model is on the M5U? Or is that extra 3.6k not worth it and better to keep everything on the M5U?

I like qwen 3.8 flash next, and couldn't run that onn the smaller RAM comps, so don't know if i'd be losing out in quality too much with the external agents approach.

In my head I'd like to have a M5U as the brain and then 2-4 external agent computers.

Thanks!

Edit for some more info:

Using as a local AI server, mostly for agentic tasks like creating, testing, improving software.
Also a proof-of-concept for small scale local 'datacenter'

Hey there,

I had been using a laptop for ages until I finally moved into a place with a dedicated office, so this year I was finally ready to invest in a desktop. I got a Studio Display XDR and I really wanted an M5 Mac Mini (in the spring) but the M5 Mac Minis were postponed until this autumn, and so I bought a base model M4 Mac Mini during the springtime with the intent on turning it in when the M5's came out.

Now that the M5 models have come out, I decided to go with an M5 Max Mac Studio instead of the mini just the cost difference between the upgraded-mini-that-I-wanted and a studio was pretty small.

I mostly do just music production with Ableton on my computer as well as some video editing and exporting. I don't do much beyond that but certain tasks were slow with 16gb RAM and so I was eager to upgrade. I'm in a financially comfortable position and so I'm okay with spending money on a machine that exceeds my needs, but obviously I need to draw the line somewhere because I'm not gonna get some $10k+ Ultra or something like that.

I settled on the M5 Max Mac Studio with 48gb RAM and 2TB storage (the 2TB storage is nonnegotiable for me) but I'm wondering if I should cancel my order and repurchase with the 64gb RAM. It's only $400 more. However, if I'm honest with myself, this machine is a lot of overkill in the first place, and I think I'd be just fine even with 32gb.

But I see a lot of people on here saying 64gb is a bare minimum for mac studio viability. I understand that the answer ultimately comes down to what I need to do with the machine, which is honestly not that much, but I wanted to ask if anyone has other points to consider that I haven't yet. Like maybe a 48gb might be difficult to resell if it's too much RAM for xyz tasks but not enough for local LLM.

Any input is very welcome. Thank you!