# Apple Mac Studio 319 Hacker News commenters recommended Apple Mac Studio and 160 criticized it, November 2025 to November 2026. It was recommended in 12 of 13 months; owners who said how long report a median of 2 years (23 owners). **Verdict:** Recommended for running large local AI models thanks to huge unified memory, plus quiet, efficient everyday performance; critics note slow prompt processing and high prices for upgrades. ## Why people recommend it - Huge unified memory fits large models (10 comments): "1TB fits a frontier-ish model in memory without massive quantization, which is a very interesting capability for a non-rack piece of compute." ([source](https://news.ycombinator.com/item?id=49433751)) "This unified architecture makes Apple hardware very good for AI work, where latency between RAM and CPU is very important" ([source](https://news.ycombinator.com/item?id=49509994)) "Because you can run Qwen 3.8 Flash Next, Laguna S 2.1 and other medium-sized models that simply don't fit on a 5090?" ([source](https://news.ycombinator.com/item?id=49794286)) - Runs local LLMs privately and well (7 comments): "recent releases of the quantized GLM 5.2 models are actually pretty speedy and are probably as good or better than any online model" ([source](https://news.ycombinator.com/item?id=48679009)) "people are successfully and efficiently running 4-bit quantized GLM 5.2 on MacStudio 512GB M3 Ultras at over 60 tok/s" ([source](https://news.ycombinator.com/item?id=48682110)) "I've been able to run local, quantized LLMs like Qwen 3.6 using oMLX + Opencode pretty comfortably and productively." ([source](https://news.ycombinator.com/item?id=48662900)) - Energy efficient, cool and quiet (5 comments): "I suppose the Mac Studio route is a good option here, I think Apple make the most energy efficient high-memory options." ([source](https://news.ycombinator.com/item?id=46486700)) "IMO getting a studio for LLMs is a wiser choice since it doesn't heat up and there are no batteries to degrade." ([source](https://news.ycombinator.com/item?id=50277902)) "uses an order of magnitude -less- energy than the computer it replaced, and is faster in almost every aspect." ([source](https://news.ycombinator.com/item?id=46923344)) - Fast and long-lasting daily machine (4 comments): "still running a 4 year old M1 Max 32GB Mac Studio as my daily and really haven't found anything that it shows sign of slowness/age with" ([source](https://news.ycombinator.com/item?id=50274404)) "an M3 Studio Ultra outpaces the M4 and ties the M5 on single work at a time, outpaces both doing multiple work at a time." ([source](https://news.ycombinator.com/item?id=48558873)) "it's much faster, both subjectively and objectively by looking at how long it takes to run the full test suite" ([source](https://news.ycombinator.com/item?id=49440450)) ## What people warn about - Slow prefill with large contexts (3 comments): "The M3 Ultra's prefill is super slow with really large models, 3-5 minutes while it digests the new additions to its context" ([source](https://news.ycombinator.com/item?id=47898106)) "it is inferior to nvidia precisely during prefetch (processing prompt/context) before it really gets going" ([source](https://news.ycombinator.com/item?id=46975745)) "The performance with large context would have been unusable especially if you need to serve more then a single person." ([source](https://news.ycombinator.com/item?id=47842705)) - Thunderbolt clustering bottlenecks bandwidth (2 comments): "it'll be slow: even with the proper multi-node inference setup, the thunderbolt link will be a comparative bottleneck" ([source](https://news.ycombinator.com/item?id=46777897)) "Mac Studios don't share unified memory across machines, Thunderbolt isn't remotely comparable to NVLink for expert exchange, and bandwidth becomes the bottleneck immediately." ([source](https://news.ycombinator.com/item?id=46777911)) - Too slow for frontier models (4 comments): "The GFLOPS and memory bandwidth just arne't there even though it can hold a much larger model in memory." ([source](https://news.ycombinator.com/item?id=48227391)) "Your Mac Studio cannot run frontier LLMs at an interactive speed, even Apple has given up on using it as an inference backbone." ([source](https://news.ycombinator.com/item?id=48873974)) "which I expect would be pretty amazing as far as quality/recall. The only downside is that the speed is a lot slower" ([source](https://news.ycombinator.com/item?id=49510292)) - Expensive, especially RAM and storage (3 comments): "Regret on a $10k desktop rendered obsolete for purpose (the 512GB of RAM only has so many applications) months later is not a great look." ([source](https://news.ycombinator.com/item?id=47297467)) "A single Mac Studio w/ M5 Ultra and half that RAM (256 GB) is around $11k, and the 512 GB option isn't even available yet." ([source](https://news.ycombinator.com/item?id=50108006)) "8000 dollars for a 16TB harddisk? At that price point I can load out two full PC's for the price of a single disk" ([source](https://news.ycombinator.com/item?id=49441908)) ## Alternatives hackers recommend - [Apple Mac](https://hackerapproved.com/p/apple-mac.md): 453 recommend - [Apple M1 Mac](https://hackerapproved.com/p/apple-m1-mac.md): 48 recommend - [Apple II](https://hackerapproved.com/p/apple-ii.md): 46 recommend - [Apple Macintosh](https://hackerapproved.com/p/apple-macintosh.md): 34 recommend - [Apple M-series Mac](https://hackerapproved.com/p/apple-m-series-mac.md): 34 recommend ## Where to get it - [See price on Amazon](https://www.amazon.com/s?k=Apple+Mac+Studio+M3+Ultra&tag=YOURTAG-20) (affiliate link) - [Official site](https://www.apple.com/mac-studio/) ## Cite as Hacker Approved, "Apple Mac Studio", https://hackerapproved.com/p/mac-studio/ (counts from 1,795,640 Hacker News comments, November 2025 to November 2026).