Apple Studio with maxed out M5 Ultra, 256GB RAM and 16TB storage is 18,299$. The 512GB RAM version apparently is coming in October, considering that the difference between 96GB and 256GB is priced at 4000$, the 512GB upgrade must be eye watering.
So, on the mini the RAM upgrade runs at 25$ per GB on all tiers, the same as the Studio therefore the upgrade to 512 will probably cost 6400$.
The fully maxed out Apple Studio then will be 24699$. It's 17199$ if you don't upgrade the storage(1TB).
So is downpayment on a house. I would buy the house and just pay for tokens as needed. The house will get more valuable and that wealth would buy a lot of tokens in the future - which will probably get cheaper.
EDIT: or buy AAPL. If I had bought Apple stock instead of buying a Mac LC II in 1992, then I would have about $2 million in Apple stock.
Or more simply – $25K (+ tax) put in a savings account will earn about enough interest to pay for a $100/month AI subscription indefinitely. And at the end of it you still have the $25K.
Not 'more simply', there are basically zero savings accounts that are going to net you a 5%+ interest rate to give you that $100 a month. And that $25k becomes less valuable over time. $25k is now only worth $19k because inflation.
Do you think monthly AI 'subscriptions' are going to be $100 a month in 5 years? These people using these would probably be on $200/month subscriptions and with that OPs assertion of 'shoving away and paying with interest' makes no sense.
It’s basically impossible to compete on economic terms with deeply subsidized hardware that is widely available to rent or as a service with zero commitment.
For general inference there’s no ROI that makes this work vs subscriptions.
25k for computer now, plus 9-10% sales tax, plus operating cost, plus time and cost for R&D tinkering with models, harnesses, and infra (assuming highly capable engineering talent that can get paid for your human inference) vs a HEAVILY subsidized subscription at 200 per month with free R&D has a pretty long ROI (15 years?)
At API costs, it’s like 6 months if you’re heavy on inference.
For training, specialized models will have their own ROI that makes this worthwhile. Then debate renting capacity and the platform to choose
Yeah I think you call out the right incentives. Lots of people are very interested in renting out the hardware, and it gives us lots of flexibility vs buying.
If the pace of hardware change is what the jensens of the world say, then the rents on existing hardware will decline.
Why are we comparing to the maxed out model only? The M5 Ultra with 96 GB, 1 TB, and 64 GPU cores is $5499.
Apple lets you lease that model for $110/month for 36 months.
If you can settle for a M5 Max base model that would be a $49/month lease.
Today, you should be able to run Qwen 3.8 - 27B amazingly well on either which is giving comparable performance to 5.6 Luna on SWE Bench. The local models are now getting better and more efficient and this should give you headroom. Tools like turbo fieldfare are really reducing the memory requirements to run large models and I don’t see it stopping soon.
I don't need privacy, so it would be financially imprudent for me to spend 20 grand on such a machine. But I have a financial management client who does need such privacy, and if I get more fully engaged with them then I would be able to justify getting a loaded Mac.
Currently m5 max has a prefill rate for Qwen 3.8 27B of 400+ tok/s, then generate at ~60 tok/s. (And it can be improved further, the software is not yet at the level it is for CUDA)
That means for context under ~5k or so ttft (time to first token) it's going to respond faster than Claude. If the answer is less than ~1k I think the request finishes sooner. And it's ~claude 4.5 or 4.6 level intelligence.
I've had it work for more than a day on a pi.dev "loop engineering" project involving writing software.
Depends on where you live. Also keep in mind population decline so long term, im not so sure. Prices already dropping in less desirable places (everywhere outside of most blue areas) (Assuming you are talking about the US sorry if not)
Maybe they had the cash on hand, maybe they didn’t. Assuming they are in the family formation stage of life with young kids, an outlier risk appetite would be required to sleep well at night.
Well, this is all assuming a 20% down payment, which anecdotally as a 26 yr. old, nobody I know is able to achieve. All my home-owning friends put 3-7% down. Granted, most are using first-time homebuyer loans which are generally more favorable.
I tripled my money on my RAM purchase of three years ago. So, yes, for short-term appreciation that's hard to beat. But I don't think it's something that will continue.
Regarding the $25 price per GB RAM. These chips use LPDDR5X RAM. Looking at the Framework site, they are selling LPDDR5X LPCAMM2 modules for the following prices:
Apple hasn't been selling just ram for a long time, they sell vram. Try getting 512 gb of HBM on current Nvidia cards - it's gonna cost way more than $ 24k. And here you get the same amount of memory for weights right in a quiet unit under your desk
Put together a similar build with a couple of rtx 6000 Ada cards and Apple's price tag suddenly looks pretty damn reasonable
HBM itself is very expensive but it’s not really fair to compare to LPDDR or GDDR
They’re very different things.
The more logical argument to me is that Apple uses its upgrade price points as more than just direct BOM and rather as a proxy for things that are amortized across all their sales like support/warranty/etc so higher SKUs subsidize the costs of the lower ones.
"Nobody" puts down 20%. That hasn't been a requirement for decades (in the US).
And there are plenty of places in the US where you can buy a house for $150-$200k. Maybe not places you want to live for one reason or another, but they're there.
i remember when SGI boxes were $50k and then literally worthless just a couple bears later. i remember my university had a pile of them for free outside the deans office.
Ten years ago a bought an expensive MBP because I do a lot of stats in R, Python etc that benefited from it. But the next Mac I’ll buy will be a much lower-end model, because it’s just easier these days to do that work in notebooks in the cloud.
I recently had to buy RAM for some on-prem servers at work. 256GB was around $3800, and it wasn't even particularly fast RAM... it also wasn't ECC, because that would have spiked the price still higher.
I don't think 16TB storage is a right choice. Going 2TB and it's 11,299. Probably, if you buy the storage and install it yourself you can go higher and quite cheaper.
I think the reason they offer these options in the first place is the discontinuation of the MacPro and their remaining need to offer high end solutions.
So, on the mini the RAM upgrade runs at 25$ per GB on all tiers, the same as the Studio therefore the upgrade to 512 will probably cost 6400$.
The fully maxed out Apple Studio then will be 24699$. It's 17199$ if you don't upgrade the storage(1TB).
Nevertheless I itch to have one :)