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New Mac Studio with M5 Max and M5 Ultra
- meerita 1mo agoMac Studio with M5 Max starts at $2,499 (U.S.) and $2,299 (U.S.) for education. Additional configure-to-order options are available at apple.com/mac-studio. Mac Studio with M5 Ultra starts at $5,499 (U.S.) and $5,099 (U.S.). I am in Europe, and the Mac Studio M5 Ultra GPU 64 cores with 96GB RAM is up to 6.649,00 €. Ouch.
- alfanick 1mo agoDon't forget that US prices usually do not include the VAT, while EU prices usually do include respective VAT.
- ilikehurdles 1mo agoA lot of us in America have no sales tax (if that’s what you mean by VAT) and those that do have it at a fraction of EU VAT rates.
- coldpie 1mo ago> A lot of us in America have no sales tax Not that many of us, actually. Only Montana, New Hampshire, Oregon, and some parts of Delaware and Alaska have no sales tax. https://commons.wikimedia.org/wiki/File:Sales_tax_by_county.webp https://commons.wikimedia.org/wiki/File:Sales_tax_by_county....
- mrkstu 1mo agoI'm sure plenty of Idahoans and Washingtonians, for instance, take advantage of their neighbor status for high ticket items like this...
- diffeomorphism 1mo agoExcept that you then have to pay a "use tax" of 6%: https://tax.idaho.gov/taxes/sales-use/use-tax/online-guide/ https://tax.idaho.gov/taxes/sales-use/use-tax/online-guide/ This is difficult to enforce, but it seems that "taking advantage" is strictly speaking just tax fraud.
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- nine_k 1mo agoTo put this into a perspective, Google helpfully reminds: > A fully configured IBM Personal Computer AT (Model 5170) with expanded memory and storage cost around $5,795 to $6,000 at its launch in August 1984, which equals roughly $18,600 to $19,300 in 2026 USD.
- mrala 1mo agoIt would be interesting to compare the costs of a top of the line machine every decade or so. Costs were steadily decreasing until recently.
- jacobr1 1mo agoThey still are, if what you want is roughly the same as the prior generations capability with some uplift (making then number up, but say 20% faster or more ram or whatever). What is changing is that there genuine demand for more capabilities disproportionate to the cost decrease curve. Fab demand and supply constraints have slowed or even reversed some cost decreases - but that is still getting absorbed by the overall systems costs when you are looking at things like laptops. If you all you want is the last decades demand to browse the web and use office - things are cheaper than ever.
- mikestew 1mo agoJohn Dvorak said many, many decades ago (80s/90s) that the computer you want will always cost $3000. That statement has been more/less true for some time periods than others, but with some wiggle room I’ve found it to be accurate enough. Care to guess the approximate price of the MBP I bought earlier this year?
- seanmcdirmid 1mo agoI bought my refurbished M3 Max MBP with 64 GB for $3k a couple of years ago. Before Ethan I never spent more than $2k for a computer.
- mikestew 1mo ago
- willtemperley 1mo ago> I am in Europe, and the Mac Studio M5 Ultra GPU 64 cores with 96GB RAM is up to 6.649,00 €. Ouch. It would be significantly cheaper to fly to a tariff-free country and buy there.
- gizajob 1mo agoBizarre there isn’t a 1TB RAM option hidden away for the excessively frivolous or VC funded.
- gauntr 1mo agoSame reason they cut the big options on the existing models, this way they can sell more devices. The additional cost for the additional 512GB would have to make up for the loss of another sold device otherwise. No idea if there would really be that many people buying this then while on the other hand AI stuff makes people do crazy stuff, so...yeah :)
- MisterPea 1mo agoConsidering Apple pricing it actually might. 256GB model is $10k and the 512GB version will probably be double
- petercooper 1mo agoThey seem to be suffering from the supply constraints like everyone else. They phased out the higher capacities on the M3 Ultra Mac Studio a while ago, and if you order a 128GB MBP, say, you're looking at six weeks or more for delivery.
- hardb 1mo agoIt's worse than six weeks: Apple quoted me 10-12 weeks yesterday for an M4 Max Studio (about Nov 17) December for the M3 Ultra. Planning to lock in a new model soon. I went looking for used but those are wildly expensive. Strange times. https://hard.bargains/posts/mac-before-sept-22/ https://hard.bargains/posts/mac-before-sept-22/
- varispeed 1mo agoIt's more bizarre that Apple got caught with pants down. Focused on CPUs and ignored RAM. Seems like miscalculation. If they had their own fab for RAM, they could completely corner the market today.
- nythroaway048 1mo ago512GB unified memory option coming available in October.
- marcuskaz 1mo agoThe 256GB option is +$4,000 - the overall price for 512GB setup would probably be $20k!
- notnullorvoid 1mo agoIt needs to be a little less than double the overall price for 256GB option, otherwise it's better to get 2 256GB and link them.
- Zylokloto 1mo agoyou can't link onchip memory.
- notnullorvoid 1mo agoTrue, but you can link them up over thunderbolt or Ethernet. If your goal is to run local LLMs, not all weights need to live on the same computer. You can segment the workload by layers and pass the activations along the lower bandwidth interconnect with a small perf penalty. Also you get double the CPU/GPU cores allowing for better multi user/agent performance.
- Zylokloto 1mo agoAh sorry you are right I missread what you meant by it.
- nowittyusername 1mo agoI was thinking the same as you as far as price per value, it does make seance to get 2x of these things IMO, but what throughput hit would you see in linking versus one machine? latency does matter, and there must be a trade off no?
- ricardobayes 1mo ago512GB unified RAM is going to be really good for running local LLMs.
- tarr11 1mo agoWhat is unified ram? RAM and VRAM as one thing?
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- lynndotpy 1mo agoYep, exactly. It's just one shared pool of RAM with zero-copies necessary.
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- AbsurdCensor 1mo agoBig ole pool of very fast ram that can be accessed by the CPU and GPU. Lets you run larger models. AMD does the same thing with Strix Halo. I have a 128gb machine at home, and have had difficulties running 120b models, but 70b and below run pretty well.
- dannyw 1mo agoAMD Strix Halo unified memory still requires allocating X to GPU, x to CPU at UEFI. So not as flexible as apple's unified memory.
- EgregiousCube 1mo agoNot in Linux! See setting GTT: https://rocm.docs.amd.com/en/docs-7.2.0/how-to/system-optimization/strixhalo.html https://rocm.docs.amd.com/en/docs-7.2.0/how-to/system-optimi...
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- egonschiele 1mo ago> M6 supports up to 32GB of unified memory to multitask across demanding apps and run LLMs on device for secure and private agentic tasks. It also provides up to 170GB/s of unified memory bandwidth — a 10 percent increase over M5 and a 2.5x increase over M1. Isn't 170GB/s slow for bandwidth?
- tristor 1mo agoKinda. Strix Halo does 256GB/s of memory bandwidth, and is significantly slower than an M5 Max (614GB/s). Feels like intentional market segmentation?
- kamranjon 1mo agoYou can get the m5 pro in the Mac mini with 307GB/s at 64gb of memory it’s $2899
- blints 1mo agoIt is. That's the mac mini. For local LLMs you would want the Mac Studio, which tops out at 1.2TB/s.
- scosman 1mo agoIt's fast by computer standards and excellent for entry level chip. The Pro/Max/Ultra chips are always faster. Compared to something like VRAM it's slow.
- mkesper 1mo agoIt's actually quite fast, more bandwidth than NVIDIA RTX 4090 at 1.0 TB/s according to https://www.digitalocean.com/community/tutorials/gpu-memory-bandwidth https://www.digitalocean.com/community/tutorials/gpu-memory-... Compute power will still be different, though.
- angoragoats 1mo agoThe thread you're replying to is asking about the 170GB/sec memory bandwidth of the base M6, not the faster spec of the Ultra chips.
- joshstrange 1mo agoDue to pricing insanity (not that Apple prices weren’t insane before the ram/ssd shortages) I’m not in the market but I do wonder if my next computer should be a Mac Studio instead of a MBP that lives its life docked. Might be better to just run a Studio and Neo for the very few times I actually need remote capabilities.
- appplication 1mo agoI had the same thought, I grabbed a studio two years ago for this reason and it’s been great. 99% of the time lack of portability isn’t a concern. Every now and then (e.g. travel) I notice the limitation, but it’s not much of an inconvenience to just not do some work for a bit.
- Gareth321 1mo agoPlus remote work is getting easier and easier. There are so few instances when I'm not able to get online. If we lived in a world where hardware were getting cheaper, it might make sense to splurge. In this environment I think the Neo is perfect.
- dannyw 1mo agoBuild quality of the Neo is extremely good, I love the keyboard — it’s more tactile and reminds me of early 2010s MacBooks. I’ll be selling my M4 MBA soon, I genuinely use the Neo more. Huge difference in typing experience. Great repairability is a plus. It was super easy, and actually fun to open. Felt like unboxing an Apple product. Applied the thermal paste mod for $10 which works excellently; I’ve had it shortly after launch. And I love the notchless display, even if I wished the color gamut was a bit better.
- havaloc 1mo agoThe Neo keyboard just feels nicer than even an M5 Air.
- tamimio 1mo ago
- alberth 1mo agoM6 (base) in Mac Mini too: https://www.apple.com/mac-mini/ https://www.apple.com/mac-mini/
- norman784 1mo agoSo weird, launching M6 so silently.
- petercooper 1mo agoAllegedly, they aren't making a big deal out of the M6 which won't have Pro, Max or Ultra configs at all, instead waiting for the M7: https://9to5mac.com/2026/08/08/apple-m7-chip-heres-why-it-matters-ai/ https://9to5mac.com/2026/08/08/apple-m7-chip-heres-why-it-ma...
- norman784 1mo agoInteresting, thanks for sharing.
- blints 1mo ago10 grand for 256GB memory. Likely double that for 512GB, but won't be available or finalized until October. Thunderbolt 5 is highest bandwidth external IO available at 120Gb/s. 1.2TB/s claimed max internal memory bandwidth. Not exactly "future proof" for >1T parameter models but good for targeting specific lower-parameter models, or if you can rely on pipeline parallelism and run a cluster.
- cma 1mo ago3 of those thunderbolt 5 ports, so you can do a fully connected 4 machine cluster topology.
- blints 1mo agoIt's unclear to me how bandwidth scales with multiple connections. Many-to-many does not seem ideal. Daisy chaining would be fine for straight pipeline work. There doesn't seem to be an equivalent of a ethernet switch for thunderbolt 5 though.
- kridsdale1 1mo agoApple put on the announce page that 4 Studios in this config can run inference at 3x the speed as 1 Studio.
- cma 1mo agoI read each has an independent controller for full bandwidth.
- BugsJustFindMe 1mo ago> Not exactly "future proof" Computers are never "future proof".
- mschuster91 1mo ago> Computers are never "future proof". Upgradeable components however could go a loooong stretch towards that goal. It can't be that hard to follow a common form factor for at least the housing across two or three generations to allow a reuse of everything but the main PCB.
- tristor 1mo agoI wish they were offering 1TB of Unified Memory for the M5 Ultra. I already have an M5 Max MBP w/ 128GB of RAM for running local models, and while there's a /few/ models that I can run in 512GB that I can't run in 128GB that are interesting, where things really shift is at 1TB of memory which allows you run >1T parameter models w/ 4 bit quants reliably. 512GB is just on the edge of "enough", which is maybe the point of maximum frustration considering current memory prices. Personally, I can't justify dropping the dosh for a 512GB M5 Ultra, but I would be able to justify it to myself if I could get 1TB of memory, because it'd guarantee the flexibility with local models I currently am missing. Seems a huge miss to not offer this... for a price.
- kamranjon 1mo ago1tb would likely be ~$20k - given the current >$10k price tag of 256gb. Would you still be considering it at that price?
- petercooper 1mo agoMore likely double that, even. I think you'd still see many buyers there. You can spend like $16k alone on a RTX 6000 PRO with a mere 96GB of VRAM now..
- jdcasale 1mo agoI'd consider a 1tb machine at 20k, but I'm not going to pick up a 256gb one at all. 1TB fits a frontier-ish model in memory without massive quantization, which is a very interesting capability for a non-rack piece of compute.
- intrasight 1mo agoIt seems super reasonably priced to me. It's only twice as expensive as my first Mac which only had 128K of memory.
- tiahura 1mo agoThat came with a monitor and floppy drive.
- varispeed 1mo agoand this one comes without a floppy drive.
- epolanski 1mo agoBase models are okay-ish. But +4000$ for an additional 128GB of ram is simply milking the customers, as they know they will have many of them.
- jillesvangurp 1mo agoDepends on your perspective. People think nothing of spending 50-100K on a car that basically gets them to work. But the thing they use for day to day work then gets the evil eye when it costs more than 1K. It's slightly irrational. Not everybody needs a high end mac. But when you do, it sure is nice that you can get one. I don't actually own a car and my startup is bootstrapped and our salaries are modest. But the one thing we spend on is laptops. I have M4 max pro with 48GB. That thing was on the expensive side (~4.5Kish). But it delivers a lot of value and I spend most hours I'm awake using it. I like fast builds. I like that I can try out open source AI models. And I like just having the option to run those. We actually lease them and mine costs something like 105 euro/month. Including Apple Care. I don't need a Mac Studio but I could see some roles where that would not be a crazy expense. Even the tricked out version that basically only costs the same as a very modest car.
- deleted 1mo ago[deleted]
- alberth 1mo agoIt looks like speculation that Apple would raise the base chip’s maximum RAM from 32GB to 48GB was wrong. Apple also launched the base M6 today with a 32GB RAM limit, suggesting 512GB may remain the maximum for Ultra chips for some time. Since these Ultra chips combine 16 base chips: 32GB × 16 = 512GB
- wmf 1mo agoAFAIK these "rules" are artificial and there's nothing stopping Apple from having twice as much RAM. They just don't want to.
- dannyw 1mo agoThey probably literally don't have enough NAND to go around. 768GB of memory (48GB x 16) is enough for nearly 100 iPhone 17s; that's $80k (corrected) of iPhones at MSRP, although likely much lower margins than these high-RAM boxes.
- summarity 1mo agoThey also cancelled availability of the 512 M3 Ultra months ago in many regions, likely just redirecting memory
- hebelehubele 1mo ago800 USD/iPhone x 100 iPhones = 80k USD
- dannyw 1mo agoOops, thank you, corrected.
- HSO 1mo agothey`re skipping m6 pro and ultra
- polyterative 1mo agoVery much happy with my machine.Got a base m4 max studio in December. 2350eur what a deal
- TechSquidTV 1mo agoI only with I got more than 96GB at the time.
- speckx 1mo agoI was looking forward and hoping that the Mini and Studio would have 8K at 120Hz. Oh well, maybe the M7s will have that.
- neko_ranger 1mo agoNo looking to cheat, which is better: the MAX or ULTRA?
- baggachipz 1mo agoDepends if it's Pro Ultra Max, or Plus Max Ultra.
- swader999 1mo agoHere's me trying to justify this when I can run frontier models in the cloud for less than the monthly finance charge for this beast.
- dannyw 1mo agoIf you like to experiment with training / finetuning / etc on LLMs, these are actually incredibly ‘cheap’. 1.2TB/s memory bandwidth unlocks a lot with 256GB unified, and agentic AI is pretty good at optimising performance. For comparison, to get 256GB with NVIDIA, you’re looking at a DIY workstation build (need pcie lanes), and like $70k? The spark’s ~250gb/s bandwidth doesn’t really count here.
- Zylokloto 1mo agoTo experiment, its still al ot cheaper to prepare everything locally and then just rent a GPU Node on all of these non hyperscalers. 1-2$ / hour. I'm not regretting my setup at home as it got paid by my company which makes sense here, but paying for electricity is quite high and makes already 0.3$/hour alone. I would argue, the most interesting use case for running it at home is some personal agent which you want to run 24/7.
- ComputerGuru 1mo agoNeither is the right alternative to compare to. You aren’t going to hit 100% utilization (if you are, ignore me, this doesn’t some to you, and write a blogpost for me to read and share). The comparison should be against renting in the cloud for the duration of your task for training and research or using pay-per-api-call providers for general inference instead of buying your own hardware (and paying the electricity and cooling bills on top), because let’s face it, the models you want to use are probably the same ones available on inference providers (but, yes, some are more trustworthy than others). Speaking as someone that does ML/AI research, you are essentially paying a huge premium for being able to just run your Python script at any time without setting up a deployment script and harness to run the job remotely, while your hardware sits essentially idle the rest of the time. The only way to make the math work is if you rent your hardware in the background for inference while you’re not using it in anger, but despite all the startups and promises that has never become as streamlined as mining bitcoins or shitcoins used to be and they don’t pay out as much as they say they would. Renting your hardware for training is another option but doing that is a lot more involved, options are fewer and farther in between, you won’t get as much utilization out of it, and doesn’t let you feasibly abort running tasks at a moment’s notice.
- Devasta 1mo agoIf I were to get one of these, realistically what is the most advanced AI model I could run locally?
- bodash 1mo ago"512GB memory option for M5 Ultra coming late October"
- bohnohboh 1mo agoanyone know if this is "pre-order" is coming late October, or "will be available to ship in late October, thus pre-order will be available earlier than that"
- speedping 1mo agoThe article's headline contains an em dash. I wonder if it's AI-generated
- post_break 1mo agoTo me it seems like a cheeky way to preface the AI part of the title.
- Y-bar 1mo agoMy sarcasm detector just made a small cloud of smoke. What does that mean, a buffer over or underflow??
- nalekberov 1mo agoBoy, oh boy Apple is the new shovel seller during AI gold rush. Most people at Apple have already realized that their processors are already too powerful for regular users - heck, as a developer my M2 Pro with 32 GB RAM is more than enough for me. Regular users don’t care about local AI either. So, they will probably extract as much money as possible during AI gold rush, but then we will most likely see Apple a. Making their software worse (god forbid, forced updates) b. Making their hardware impossible to repair (as they almost accomplished this already) and easier to break.
- dannyw 1mo agoI dunno, Apple's been throwing many bones to their customers who use their Macs for AI stuff; like Apple working with, and signing TinyGPU's NVIDIA eGPU drivers. Plus introducing features like RDMA over thunderbolt, which is critical for distributed inference/training/etc. On the software side, Apple is investing heaps. It's still ridiculous they don't support expandable NVMes, but the memory being soldered makes sense, you need it for 1.2TB/s bandwidth. They are still selling high-margin hardware. Apple loves selling high-margin hardware.
- gauntr 1mo agoWow, didn't know this exists. So instead of ditching my M1 Pro Macbook for a newer one with more RAM and power I could do this instead (if reasonable regarding pricing). EDIT: AMD too, it's not limited to Nvidia, nice.
- amelius 1mo ago> Boy, oh boy Apple is the new shovel seller during AI gold rush. They're eating nvidia's lunch.
- prometheus1992 1mo agoThe new mac minis and mac studios are going to be in shortage for at least first 6 months from 9.22
- mannanj 1mo agoAm I the only one that now finds press releases like this similar to "AI Slop" I know there's tons of marketing language, buzz words and attempts at convincing me of some agenda that isn't super clear without lots of effort in "validating" the slop. I guess its not bad "slop" though if a human put in effort in editing it (imo >50% human curating = not really bad ai slop) Though I still would prefer I could just get the prompt. What human thoughts, direction and "prompt" went into writing this article? in the same way as we ask for the prompt for AI generated outputs, I would prefer it for human generated output too. For writing at the least. I could have saved time, got the purity of the argument, and got more clear information. I wonder if we can get a future where humans just express their intent with each other and stop trying to hide our agenda; I want a world we can trust each other greater and interpret and act on our goals without the noise of trying to impress or market to each other & the additional words that go into that.
- vadansky 1mo agoSorry for being lazy, but is there a rough breakdown like "You get sonnet level for M5 and Opus for M5 pro, etc.", or is it still speculative. Or put simpler, do you get Opus level for the 256GB M5 Max?
- beernet 1mo ago[dead]
- rogerkirkness 1mo agoOpus is probably ~2T parameter model, so that would probably not run on these. More like Sonnet.
- root_axis 1mo agoSonnet is estimated around 1T, so that is far beyond what's practical as well.
- c0rruptbytes 1mo agoThe 512GB could run GLM 5.3 which is Opus level
- lostmsu 1mo agoGLM 5.2 in NVFP4 is 465 GB. It would be a tough fit.
- root_axis 1mo agoFor local LLMs with a Mac, rule of thumb is you always want an Ultra (due to memory bandwidth). Even an M1 Ultra is superior to an M6 Pro in this regard. There are no configurations even close to running something comparable to frontier model variants, they're simply far too large, but something like full precision Qwen 35b or DeepSeek 70b at 50+ t/s is well within available configuration, and potential for plenty of room for large context sizes.
- 1mo ago
- CurbStomper 1mo ago[dead]
- ACV001 1mo ago$5500 for 96GB of RAM? insanely expensive (the MacOs is really bad compared to Windows or Linux).
- GodelNumbering 1mo ago1.2 TB/s bandwidth of M5 Ultra comes from two dies of M5 Max (each 614 GB/s) connected together using 4.4 TB/s inter-die fabric. For a non-quantized Deepseek V4 flash on an ultra, I would estimate about 1000+ tokens per second prefill and 50+ tokens per second on generation. This is actually quite usable and near parity to cloud. They mention "adds the GPU Neural Accelerators." which, if exploitable for LLM loads, would probably help the prefill a lot
- coder543 1mo ago[dead]
- hbbio 1mo agoYes, and they specifically mention "Up to 10.7x faster LLM prompt processing in LM Studio" which is probably using the neural accelerator for prefill.
- dakolli 1mo agoHow much would is the cost for that machine though, I'm pretty sure I could just buy tokens from a provider and never run out of money for 10 years, and get far better quality output because inference is being served by professionals on far better hardware and this machine would be obsolete long before that as well. Hosting local seems like a possibly the dumbest thing you could possibly do from an economics perspective. And don't hit me with the privacy argument because everyone saying they care about privacy uses fucking gmail, whatsapp and instagram all day long.
- kridsdale1 1mo agoOk sure. But this machine you can haul in an Ice Road Truck to the North Pole and do inference there in an off grid shack. Good luck talking to cloud AI there.
- dakolli 1mo agoYeah, that's who Apple is making these for fucking Santa and his Elves lmfao
- starone99 1mo agoIt's game changer but it's too bad without enough memory
- TheExaltd4 1mo ago[flagged]
- OneWhereWhy 1mo agoThe thing that intrigues me the most is this: "Storage performance is up to twice as fast, with a next-generation SSD architecture built on PCIe Gen 6..." This is the first personal computer I've noticed that has PCIe Gen 6 storage. I've only seen enterprise PCIe Gen 6 SSDs up until now. Gen 5 SSDs in consumer devices already have high temperatures and thermal throttling, so I'm worried about how Apple's implementation will perform (I know they don't use off-the-shelf SSDs anymore, but I'd imagine the temps would still be a problem).
- meric_ 1mo agoIm curious, how often is SSD / storage speed performance really useful? I feel like for many people it's akin to gigabyte wifi in that its nice to have, but not really particularly necessary
- flaburgan 1mo agoBoot time, loading game time, mostly.
- Kye 1mo agoIt's nice when using large sample libraries so you can stream them off the drive without as much caching in memory. Local LLM workflows probably also benefit from being able to run models too big for RAM off the drive.
- mikepurvis 1mo agoI bet this is a lot of what is driving it on the DC side, and just in general bringing disk closer to RAM as far more conventional database type workloads.
- eddieplan9 1mo agoApple’s “LLM in a flash” paper [1] sheds some light on why this can be a big deal, especially if they are working on codesign of model and hardware in this dimension. [1] https://arxiv.org/abs/2312.11514 https://arxiv.org/abs/2312.11514
- lvl155 1mo agoNice for them to add Thread and 10G ethernet to base Mac Studio. If they allowed first class Linux, this could be a great home server machine. I ordered the base model. 512GB SSD scares me but would I even notice plugging in TB5 external drive?
- osmukka 1mo agoReading this press release was almost physically painful, because of how much Apple loves to use the phrase "up to". In total it appears 46 times.
- theanonymousone 1mo agoup to 46 times, you mean?
- zirkonit 1mo agoUp to 47.
- alfanick 1mo agoThat would be oddly precise. More like "up to 50", or depending on speaker, "up to 100". /s
- fwip 1mo agoIt would also be incorrect. "Up to" doesn't mean any possible upper bound, it describes the top of a known range. I can't say a car I'm selling goes "up to" 900mph if it tops out at 120mph.
- atoav 1mo agoWell, depends. Maybe it can go up to 900mph¹? ¹ drivers are responsible to get the car into a low earth orbit themselves and need to be familiar with the orbital maneuvers needed to accelerate the car to 900mph
- totetsu 1mo agoWhats an up to dog?
- addaon 1mo agoA lot of those "up to"s are expressing user options, though -- "up to" 512 GB RAM means that there are configurations that include that, but also cheaper configurations that don't. That's a pretty different beast than "up to 4.3x faster performance", which means (presumably) that exactly one benchmark showed a 4.3x improvement and the rest showed less -- which is to say, means very little.
- dnw 1mo agoIt’d be great when they start releasing these machines with the local models ready for use!
- lucky_cloud 1mo agoThey already do: https://developer.apple.com/documentation/foundationmodels/systemlanguagemodel https://developer.apple.com/documentation/foundationmodels/s... Also see: https://apfel.franzai.com https://apfel.franzai.com
- doctoboggan 1mo ago> Apple’s most powerful Mac raises the bar for local AI Wow, "Local AI" mentioned in the subheading above the fold - it's really awesome to see Apple leaning into this use case and I think it will definitely pay off for them going forward. Fingers crossed Apple is able to put some engineering effort towards shipping with one of the frontier open weight models included and optimized exactly for the machine.
- brabel 1mo agoThe local ai is used by Apple services, mostly. Though there is a Swift SDK to access it, apparently.
- EagnaIonat 1mo agoYou can run Ollama and it’s kind with MLX models for speed. Tend to be better than Apple AI.
- dannyw 1mo agoThe product marketing managers write for the target audience; of course they know lots of people buying these are the local LLM crowd. I actually wouldn't want a serious model shipping 'on disk'. Models release so often, it's going to get outdated quickly. LMStudio is trivial to set up.
- srmatto 1mo agoI am absolutely open to being corrected but I can't think of a single current era FOSS project that apple is optimizing and shipping with their computers.
- drnick1 1mo agoWhy doesn't Apple make a tower PC with a standard ATX motherboard, power supply, extension cards, etc, like in the old days? That's immensely more upgradable, easier to cool, and I don't believe most people expect their desktops PCs to be tiny.
- lvl155 1mo agoThey sorta did right? It didn’t sell well at all.
- chainwax 1mo agoI'm actually coming around to realizing that I _do_ expect a desktop PC to be small. I'm finding myself only considering Mini ITX desktop cases when I think about upgrading my desktop. I only have one video card and don't have storage requirements that necessitate lots of 3.5" drives, a big nvme is all I need. We no longer need CD/DVD/floppy drives, storage has shrunk/moved to the cloud. The only thing that's really grown inside a pc case is the video card, and most of these ITX cases are built specifically around fitting popular cards. Even folks primarily focused on gaming are probably thinking that a full ATX case is a lot of wasted space. Maybe it's just me, but I think ATX full and mid towers are going the way of the dinosaur.
- comex 1mo agoPersonally I'd love to have a smaller PC for gaming, but I've been scared off by Mini-ITX supposedly being harder to work with and tending to have worse cooling and therefore worse noise. I wish PCs were less fiddly to put together.
- toast0 1mo agoMini-ITX is harder to work with and usually does have worse cooling. There's just less space, so it's harder to get things in and out. And you have a smaller cooler because there's less space, at least for air cooling. I haven't used itx with video cards, but that's hugely constrained...
- FinnLobsien 1mo agoNot a surprise this is launching now. John Ternus is taking the reigns as CEO in a week and was previously SVP of hardware engineering. I can't hate a direction where Apple becomes more about building great computers rather than trying to force more and more subscriptions. I do wish they would fix many of the long-standing OS and native app problems.
- lucabytheway 1mo agoit cost a fortune with current memory cost. but i was waiting for this! whats the bandwith compared to a rtx pro 5000?
- TheExaltd4 1mo ago[flagged]
- stephen_cagle 1mo agoAnthropic can't have their IPO soon enough (rumored October) if these Macs match their reported specs. Maybe $17k for a 512gig system that can do 1.2TB/s seems like a pretty good deal for a small office.
- kylehotchkiss 1mo agoInsta-leased. I’ve ran over 1 million prompts on ollama to determine “is X website”. I’m ready to use use bigger models locally to do more thinking now. I have zero desire to give Dario anymore than $20 a month after his “you all are gonna be mass unemployed” spiel.
- mythz 1mo agoWaited years for a decent Desktop lineup like this as I was hugely disappointed in the generation old M3 Ultra when it was released. Unfortunately it took Apple so long that the memory prices are now through the roof - USD $4000 for 164GB RAM upgrade is insane. I may consider a M6 Mac Mini as a stop-gap whilst waiting out RAM Apocalypse to be over. Basically abandoning any ambitions of AI sovereignty and riding out subsidised LLM pricing for the next couple of years.
- pram 1mo agoAssuming future models will be any cheaper is not a good gamble lol
- jbverschoor 1mo agoVery well timed for John Ternus's first quarter.
- chvid 1mo agoMac Studio with M5 Ultra starts at $5,499 - computing this expensive belongs in a server room serving multiple people not on a single person’s desk. (But still cool).
- dakolli 1mo ago[flagged]
- zer0zzz 1mo agoSeems they’re actually advertising pcie expansion. Dang I’d love to switch to a Mac for my cuda kernel writing.
- wetpaws 1mo ago[dead]
- larodi 1mo agoIncredible that LMStudio, an open and ever evolving (unstable) project, is cited as a speed reference.
- akazantsev 1mo agoIt's not open source. https://en.wikipedia.org/wiki/LM_Studio https://en.wikipedia.org/wiki/LM_Studio
- larodi 1mo agoIt’s license may be proprietary but delivery is fairly open given https://github.com/lmstudio-ai https://github.com/lmstudio-ai
- jdeaton 1mo agounfortunately it does not run linux
- groundzeros2015 1mo agoContainers and VMs are well supported.
- shaunkoh 1mo agoI’m running an Ubuntu VM via Lima on my m4 Mac mini. Works great.
- sowrabh 1mo agoHow does this compare to NVIDIA DGX Spark? From what I see, if the performance is better than 2x DGX Spark, this could boost and in a way reshape Local AI in a significant way (along with all the OSS models wave that's happening) - look forward to that!
- nico_h 1mo agoJust insane RAM price. Can’t wait for the bubble to pop. AI is useful but not at the currently unsustainable price (too expensive for the provided value to corporate customers at too cheap per token vs the actual cost of creating it)
- Havoc 1mo agoYou’ll be waiting a while. Ram capacity is bought out for 2027
- gigatexal 1mo agobuy a nice BMW 3 series or buy a 512GB m5 ultra... ;-) I'm glad they brought the 512GB option back. Really want to get my hands on a m6 32GB 2TB model but don't really have a need for one.
- ChildOfChaos 1mo agoShocking pricing. Ugh. I was waiting it out on a very old Mac, but the pricing these days is insane, so now to wait it out for at least two years more and hope for better pricing or just suck it up and pay a lot for less.
- ghostly_s 1mo agoIt was not long ago all the illustrations in an M chip press release were graphs showing it flouncing the competition. Now it's just random screenshots of desktops. Skimming this I didn't see a single claim of performance advantages over competitors. The massive thing Apple still needs to solve is making sure customers don't miss being able to plug the latest greatest GPU into their tower, they should not be resting on their laurels.
- kristianp 1mo agoTheir statement about sharing an Ultra for an office LLM server is a little misleading. The tokens/second would be too slow for any business use case. You'd want to buy multiple GPUs for that purpose, probably Nvidia, despite the extra cost.
- Aeolun 1mo ago8000 dollars for a 16TB harddisk? At that price point I can load out two full PC’s for the price of a single disk, even at these inflated prices.
- msie 1mo agoEff AI! My next computer purchase will probably be in a decade!
- fenestella 1mo ago[flagged]
- twobitshifter 1mo agoAnyone considering the lease option? Anyone done it with Apple before? Could it be tax advantaged?
- truthbe 1mo agoUnless profits no longer matter this is the peak of computer pricing. It will go down from here
- calini 1mo agoWhy do I only have two kidneys dude
- tugback 1mo agoM5 Ultra in a Mac Studio form factor is exactly what the creative pro crowd has been waiting for.
- marcy_74 1mo agoThe unified memory architecture keeps paying off. More bandwidth means bigger local models.
- omidggmh 1mo ago[dead]