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Apple Introduces New Mac Studio with M5 Max and M5 Ultra

https://www.apple.com/newsroom/2026/08/apple-introduces-new-mac-studio-with-m5-max-and-m5-ultra/
176•interpol_p•1h ago•90 comments

Apple introduces M6 and M5 Ultra for a big leap in performance and AI compute

https://www.apple.com/newsroom/2026/08/apple-introduces-m6-and-m5-ultra-for-a-big-leap-in-perform...
257•interpol_p•1h ago•196 comments

Don't Wordle

https://dontwordle.com/
117•Hbruz0•2h ago•49 comments

France's tax agency got hacked (in French)

https://www.cybernetica.fr/piratage-des-impots-comment-en-est-on-arrive-la/
60•zakxxi•1h ago•28 comments

Qwen 3.8-Flash-Next releasing tomorrow (125B a6B)

https://modelscope.cn/models/Qwen/Qwen3.8-Flash-Next
74•garo-pro•2h ago•21 comments

Apple's new Mac mini, featuring M6 and M5 Pro

https://www.apple.com/newsroom/2026/08/apple-unveils-a-more-powerful-mac-mini-featuring-the-all-n...
17•runako•58m ago•5 comments

HelloAssembly The smallest possible complete Windows application

https://github.com/PlummersSoftwareLLC/HelloAssembly
32•Bluestein•2h ago•24 comments

iCloud+ Hide My Email addresses will remain on icloud.com

https://developer.apple.com/news/?id=1ptvdtcm
537•K7PJP•15h ago•163 comments

OpenAI restores 5-hour Codex and Work limits for ChatGPT Plus users

https://9to5mac.com/2026/08/24/openai-restores-5-hour-codex-and-work-limits-for-chatgpt-plus-users/
56•MC995•1h ago•40 comments

MS Paint and Photos inivisibly watermark even locally generated output with GUID

https://xusheng.dev/posts/reversing/mspaint_invisible_watermark/main/
783•ComputerGuru•22h ago•385 comments

Xiaomi: New CPU matches Apple cores single threaded, much faster multithreaded

https://twitter.com/lemire/status/2091894299289874926
929•tosh•23h ago•664 comments

US data centers tripled annual water consumption to 17B gallons

https://forgeeks.net/us-data-centers-water-use-17-billion-gallons/
46•kuuuzya•1h ago•74 comments

How Universities Should Prepare Founders

https://paulgraham.com/prepare.html
183•gmays•12h ago•221 comments

The state of AI in 2026: On the road to ROI

https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai
17•swolpers•38m ago•12 comments

SiFive's First Server Platform

https://chipsandcheese.com/p/sifives-first-server-platform
91•geerlingguy•11h ago•26 comments

How Europe is killing makers and micro-entrepreneurs

https://lectronz.com/u/lectronz/articles/how-europe-is-killing-makers-and-micro-entrepreneurs
1504•l-one-lone•1d ago•938 comments

The entire city of San Francisco as a video game

https://sf.thijs.gg/
536•centrosphere•21h ago•155 comments

What's new in Emacs 31.1

https://www.masteringemacs.org/article/whats-new-in-emacs-311
255•geospeck•1d ago•49 comments

Moon (2024)

https://ciechanow.ski/moon/
228•simonebrunozzi•16h ago•38 comments

Bookshelf – Self-hosted eBook library that runs on object storage

https://github.com/murerkinn/bookshelf
135•arbayi•15h ago•51 comments

Where did all the public bathrooms go?

https://daily.jstor.org/where-did-all-the-public-bathrooms-go/
290•herbertl•21h ago•644 comments

Vintage Artificial Intelligence: Before It Got Awkward

https://blog.archive.org/2026/08/16/vintage-artificial-intelligence-before-it-got-awkward/
131•signor_bosco•17h ago•24 comments

Peppermint oil reduces blood pressure by 8.48 mmHg in small study

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0344538
196•brandonb•23h ago•93 comments

Autostep (YC P26) Is Hiring AI/Fullstack Engineers and a Chief of Staff

https://app.dover.com/Autostep/careers/e9510e3b-a854-4e48-9e5d-c89796acaed4
1•adawg4•20h ago

Training AI to Paint with Code

https://surya.website/rling-qwen-to-paint-with-code
140•Tiberium•1d ago•16 comments

Crafting QR Codes: A deep dive into QR code art (2024)

https://kylezhe.ng/writes/crafting-qr-codes
111•subset•23h ago•11 comments

Show HN: I wrote a BASIC interpreter that boots on UEFI machines

https://tarjan.itch.io/thoreaubasic
90•Gorsefound•1d ago•31 comments

Was modern art a CIA psy-op? (2020)

https://daily.jstor.org/was-modern-art-really-a-cia-psy-op/
114•neom•12h ago•197 comments

Walgit – a Git server that is one binary in front of an object store

https://github.com/tobi/walgit
123•matallo•23h ago•45 comments

LLMs could control their host machines by exploiting inference engines

https://boydkane.com/essays/llms-could-control-their-host-machines-by-exploiting-inference-engines
174•zdw•19h ago•84 comments
Open in hackernews

Apple Introduces New Mac Studio with M5 Max and M5 Ultra

https://www.apple.com/newsroom/2026/08/apple-introduces-new-mac-studio-with-m5-max-and-m5-ultra/
166•interpol_p•1h ago

Comments

meerita•1h ago
Mac 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•58m ago
Don't forget that US prices usually do not include the VAT, while EU prices usually do include respective VAT.
nine_k•54m ago
To 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•32m ago
It 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•8m ago
They 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.

gizajob•1h ago
Bizarre there isn’t a 1TB RAM option hidden away for the excessively frivolous or VC funded.
gauntr•55m ago
Same 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 :)
petercooper•42m ago
They 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.
nythroaway048•1h ago
512GB unified memory option coming available in October.
marcuskaz•55m ago
The 256GB option is +$4,000 - the overall price for 512GB setup would probably be $20k!
notnullorvoid•19m ago
It 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.
ricardobayes•1h ago
512GB unified RAM is going to be really good for running local LLMs.
tarr11•59m ago
What is unified ram? RAM and VRAM as one thing?
lynndotpy•50m ago
Yep, exactly. It's just one shared pool of RAM with zero-copies necessary.
AbsurdCensor•47m ago
Big 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.
egonschiele•1h 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?

blints•56m ago
It is. That's the mac mini. For local LLMs you would want the Mac Studio, which tops out at 1.2TB/s.
tristor•54m ago
Kinda. Strix Halo does 256GB/s of memory bandwidth, and is significantly slower than an M5 Max (614GB/s). Feels like intentional market segmentation?
kamranjon•48m ago
You can get the m5 pro in the Mac mini with 307GB/s at 64gb of memory it’s $2899
scosman•49m ago
It'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•43m ago
It'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-... Compute power will still be different, though.
joshstrange•1h ago
Due 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•47m ago
I 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•36m ago
Plus 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•17m ago
Build 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.

tamimio•44m ago
alberth•58m ago
M6 (base) in Mac Mini too:

https://www.apple.com/mac-mini/

norman784•55m ago
So weird, launching M6 so silently.
petercooper•45m ago
Allegedly, 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-ma...
norman784•35m ago
Interesting, thanks for sharing.
blints•57m ago
10 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•46m ago
3 of those thunderbolt 5 ports, so you can do a fully connected 4 machine cluster topology.
blints•39m ago
It'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.
BugsJustFindMe•45m ago
> Not exactly "future proof"

Computers are never "future proof".

mschuster91•28m 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.

_kush
tristor•56m ago
I 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•44m ago
1tb would likely be ~$20k - given the current >$10k price tag of 256gb. Would you still be considering it at that price?
petercooper•39m ago
More 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•38m ago
I'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.
tristor•35m ago
I would probably spend up to $30k if I could get 1TB of Unified Memory, because it would allow me a guarantee to run pretty much any local model I want, including >1T parameter models with reasonable quants. I wouldn't be surprised if 512GB is close to $20k when it becomes orderable in October. The justification is less about absolute price and more about price to what it enables. 512GB really doesn't enable much over 128GB for me, but 1TB would massively change things.

I have a bit of paranoia/anxiety about AI, but it's not what most people are concerned with. I understand the limits of these tools very well, and still find them extremely useful. What concerns me is that it's going to become difficult to impossible in the future to run local models which have near-SOTA capabilities in a way in which you can exercise full control of the model. I see the writing on the wall, and its more than worth it for me to invest early to ensure my own capabilities. I am very much not a fan of our "you'll own nothing and be happy" directionality for the world, and I am (at least currently) privileged to have the means to slow that decline for my own self.

intrasight•54m ago
It seems super reasonably priced to me. It's only twice as expensive as my first Mac which only had 128K of memory.
tiahura•18m ago
That came with a monitor and floppy drive.
alberth•47m ago
It 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

polyterative•37m ago
Very much happy with my machine.Got a base m4 max studio in December. 2350eur what a deal
TechSquidTV•34m ago
I only with I got more than 96GB at the time.
speckx•34m ago
I 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•29m ago
No looking to cheat, which is better: the MAX or ULTRA?
baggachipz•25m ago
Depends if it's Pro Ultra Max, or Plus Max Ultra.
swader999•24m ago
Here'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•12m ago
If 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.

Devasta•23m ago
If I were to get one of these, realistically what is the most advanced AI model I could run locally?
angoragoats•36m ago
The 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.
mkesper•48m ago
For max memory bandwidth you need to buy the Ultra versions (M5 Ultra: 1,2TB/s, this gets comparable to real GPUs regarding the memory bandwidth).
matja•41m ago
It's higher bandwidth than any dual-channel DDR5 desktop machine, but Apple never quote the memory latency, so hard to compare otherwise.
kamranjon•41m ago
You would want to get the M5 pro version with 307gb/s if you were interested in running local LLMs.
That’s what I have been doing for years, it remains in the house secured while I ssh into it from an old thinkpad. You can get air to pair it with it if you really wanna have that seamless flow, otherwise, ssh works well.
super_mario•42m ago
I was in the same situation, I used maxed out 15'' M3 Max MacBook Pro docked to Studio Display closed on vertical stand behind the screen. It was fine for office work, but running local LLMs would definitely overheat it. The battery started degrading purely due to heat issues. And it was audible as well.

I decided to get Mac Studio M4 Max, also all maxed out config and the cooling is so much better that I can run local LLMs like Gemma 3/4, gpt-oss 120b all day long without any heat issues or any audible fan noise. So for my use case it was the right decision. I subsequently added 15'' M5 Max MacBook Pro all maxed out to my collection and even though it is slightly faster on LLM inference (I get 100 tokens/s with Gemma 4 27b model), you just can't run LLMs longer than a few minutes. It starts overheating and gets really loud.

jermaustin1•42m ago
I've been holding out, because I think my next purchase will be a Studio with an Ultra Chip in it. I'm wanting it to be a "forever" server, so I'm holding out while I can.
simonh•39m ago
Buy in 2 years, or buy now and have it last 2 years less than forever.
jubilanti•36m ago
Then you'll always be waiting, there's always something new the industry tries to tempt you with.
Gareth321•34m ago
Supply rumours are next year we see an M7 AI-focused chip with large inference performance upgrades. It's unlikely we'll see heavy upgrades in other areas. If you care about AI, it's worth waiting. If you don't, pull the trigger now. RAM constraints are likely to get worse next year. Or wait 2-3 years and prices should be back to Earth (plus newer and even better chips).

I'm waiting this out.

ape4•42m ago
How about business where you send in all your old devices and get back a SSD using using their memories
try-working•35m ago
Laptops can't do agentic engineering. They get hot as hell and battery drains instantly. I think this will promote a switch to desktops for the next couple of years, until we have new mobile chips.
steve1977•30m ago
But laptops can remote into boxes that can run agents.

So a combination of a powerful desktop and a "cheap" laptop might indeed be attractive.

jonathanberger•23m ago
Are you referring specifically to agentic engineering with locally hosted models?
hectdev•25m ago
I dusted of my lightest computer with an M1 chip and use Tailscale to make my network virtual from anywhere. Been running a. Pi5 as a main house hub and an M1 Pro as an always on Mac. It would be nice to go all out and make a Studio a hub I can just screen share into for major compute.
hirvi74•23m ago
Do it! I went with the Mini/Neo combo. I don't need MBP power when out and about. When at home, the Mini is all I use.
jgwil2•21m ago
If all you want to do is remote into your desktop, Neo seems like overkill. Why not just get a $200 Chromebook and save yourself $500?
rjrjrjrj•5m ago
Because the screen, keyboard, and especially trackpad on a $200 Chromebook sucks?
PaulRobinson•12m ago
I've been thinking about this a fair bit recently.

We make a lot of price/performance compromises for having an attached screen and keyboard on our computer. That was what got me started.

Then I remembered the days of having to go to a special corner of the house to use a computer, vs now when I have a computer with me all the time. In my bag, on the sofa, on the train. Hell, I'm writing this on the work MBP while waiting for an appointment.

And you know what, I think I got more done when I went and sat in a corner of the house all those years ago. I set up an area for "computer work", and it worked really well.

I have a home office, but it's a jumble of cables going into docking stations and all sorts of weird stuff. I think if I streamline it and turn it into a proper "computer room", I might get some of that mojo back. I might even convince my partner that surrendering the home office and having a corner of the den might be good - she can watch TV while I tinker. And I won't be balancing a laptop on my knee and trying to do two things at once.

And the price/performance thing comes back in. Hmm.

armadyl•8m ago
That’s nearly what I do but on a smaller scale. My iPad Pro serves as my laptop 90% of the time, and the 10% of the time I need to actually code and test in a chromium browser I remote into a mini.
ThouYS•6m ago
Having replaced my MacBook with a Mac Mini, I would reconsider. The MacBook is just such a _complete_ package. Great speakers, great keyboard, fantastic screen, the fingerprint sensor thingy.. Takes a lot of gear to match that
•
8m ago
If it was upgradable, then yes, spending more on top of it every year would make it future proof, but that's not the point. It's that spending 10 grand doesn't get you a future proof computer today.
fearmerchant•6m ago
The way the Apple M-series does ram that might be difficult to pull off.
dist-epoch•44m ago
> 10 grand for 256GB memory.

A NVIDIA RTX 6000, 96 GB at 1.7 TB/s, is 13 grand.

This 256 GB at 1.2 TB/s Mac is extremely competitive, it will be sold out everywhere.

angoragoats•39m ago
Except the RTX 6000 will run circles around the Mac studio in just about every way. Memory bandwidth is literally the only spec where Apple is competitive, and while high memory bandwidth is necessary for LLMs to perform well, many people strangely don't understand that memory bandwidth alone is not sufficient.
F7F7F7•25m ago
It better because you’ll need a few of them to run some larger models (I’ll be just as vague citing which models).
petercooper•37m ago
How's the compute side now, I wonder? Because while the Ultras have impressive memory bandwidth for inference, processing prompts still takes a dog's age on my M3 Ultra. I heard the M5 makes some strides forward in this area, though, and the M7 in particular promises to go a lot further.
dannyw•8m ago
M5 is excellent, they’ve finally gotten their own tensor cores.

Good for inference; however if you like to train, data format support and effective performance is limited (M5 Pro). Some hardware features are not exposed or extremely slow.

You’ll be fine for inference, but pales in comparison to what a RTX 6000 Pro can do for compute/matmuls/training.

blints•32m ago
The relevant comparison isn't one mac studio to one RTX 6000, it's a 24 channel DDR5 system, which also has ~1.2TB/s of memory bandwidth (or more when Xeon 6 compatible 8800mt/s memory becomes widely available), vastly higher prefill due to more CPU horsepower, orders of magnitude faster networking, can hook into GPU accelerators, can be upgraded etc. A baseline 384GB system from eg Puget is ~30K vs ~12K for the 256GB Mac Studio and you do get value for the money.
f0cus10•41m ago
chaining an option?
tristor•30m ago
RDMA is buggy and Thunderbolt only delivers 1/10th the throughput of native connectivity. 1TB of Unified Memory w/ 1.2TB/s of bandwidth with marginally ~$30k cost is a different story than 1TB of sorta Unified Memory w/ an effective 120GB/s of bandwidth with a marginally ~$40k cost + all the RDMA bugs.
Lwerewolf•7m ago
You need latency for token parallelism, not bandwidth. Hence actual RDMA that bypasses the software TCP stack (ROCe or whatever).