▚ myminingrig

AI PC · workstation

Apple Mac Studio (M3 Ultra) review

A desk-side box that loads 400B-class models - 512GB at 819 GB/s - now discontinued and replaced by the M5 Ultra Mac Studio, with remaining stock scarce and dear.

Memory
512 GB
Bandwidth
819 GB/s
AI compute
-
£ / GB
£25

What it runs

With 512 GB of unified memory, leaving the system its share and room for context, you can load at 4-bit a model up to roughly

~573B params

Verdict

The big-model gold standard: 512GB of fast unified memory in a silent desktop, if you can stomach the price.

BEST FOR

  • + running very large models locally
  • + people already on macOS

NOT FOR

  • - value per pound
  • - anyone who needs CUDA

The Mac Studio with the M3 Ultra is the machine you buy when nothing else will hold your model. 512GB of unified memory, fed at 819 GB/s - roughly triple the bandwidth of the Strix Halo and DGX boxes - in a silent desktop that draws less power than a games console. It’s the closest thing to a personal AI workstation that just works, and it’s priced to match - now more than ever, since Apple discontinued it in late August 2026 and the remaining stock has been scarce and dear.

The take

This is the gold standard for loading big, and the numbers back it up. 512GB means you can run 400B-class models locally that no 128GB box comes near, and the 819 GB/s of bandwidth is the fastest of any machine here by a distance (only its M5 Ultra successor, at 1.2TB/s, beats it), so once a model fits, it answers quicker than the PC-based rivals could dream of. The trade is money and prompt processing, and the money has got worse. Apple discontinued the M3 Ultra in late August 2026, when the M5 Ultra Mac Studio arrived with the same 512GB ceiling and 1.2TB/s of bandwidth, and scarce remaining stock was marked up rather than cleared out - in September integrators were asking well into five figures, some past twenty grand, where it launched nearer ten. And while token generation is quick, feeding it a very long prompt takes its time; owners running huge models notice the wait before the first token. Weigh all of that carefully before the money leaves your account.

What it’ll actually run

This is where the 512GB does something no rival can. A 70B at Q4 is trivial, it barely notices, and you can climb all the way to 400B-plus mixture-of-experts models like the full DeepSeek R1, which people really do run on this machine at home. Load a dense 70B at high precision, keep several big models resident at once, or hand a model a huge context window: the capacity is simply in a different league.

Speed splits two ways. Token generation rides that 819 GB/s and is quick even on large models. Prompt processing - the bit where it reads your input before replying - is the M3 Ultra’s soft spot, and on a very long prompt or a massive model you’ll wait for the first token. MLX is the stack to use, it’s matured nicely on Apple silicon, and the machine stays cool and near silent through all of it. The usual Apple caveat applies: no CUDA, macOS only, so Nvidia-specific tooling is out.

Who should buy it

Buy it if you need to run models that won’t fit anywhere else, and you’re happy on a Mac. For a researcher or developer prototyping frontier-size models at home, it does the job in silence, on your desk, without a cloud meter running.

Give it a miss if value is the deciding factor, or if your models fit in 128GB. A Strix Halo box loads a 70B for well under a fifth of what a scarce M3 Ultra now costs, and if you don’t need more than 128GB you’re paying a fortune for capacity you’ll never touch. But for the very biggest models, run locally and quietly, this is the machine. The only other Mac that matches it is its M5 Ultra successor, with the same 512GB ceiling and 1.2TB/s of bandwidth.

Starting settings

Starting configurations, each with where its figure comes from. A sensible starting point, not gospel - tune to your own kit.

Biggest model that fits

400B-class MoE (full DeepSeek R1, ~404B) at Q4

Runs locally where the 128GB rivals can't; token generation is quick, prompt processing is the wait.

Comfortable large model

70B Q4/Q8 dense, or a 120B MoE

Barely troubles the memory; leaves masses of headroom for context.

Fast inference

MLX quants via LM Studio

MLX beats GGUF/llama.cpp on Apple silicon; use it.

Order tip

The 32-core M3 Ultra is required for the 512GB option

The base 28-core M3 Ultra caps at 256GB; you need the top chip for 512GB.

Notes from people who've run one

Each note below names its source underneath.

  • “

    Owners run the full DeepSeek R1 (a ~404B mixture-of-experts model) locally on the 512GB M3 Ultra, which no 128GB machine can hold. Token generation is usable, but prompt processing is slow on very long inputs.

    r/LocalLLaMA

  • “

    Several testers conclude the 512GB M3 Ultra is superb for holding huge models but not the value pick for inference, with prompt-processing speed and the roughly ten-grand price the main gripes.

    Community testing

  • “

    819 GB/s is the M3 Ultra figure; don't confuse it with the M4 Max's 410/546 GB/s, which is a different, lower-memory chip in the same chassis.

    Apple tech specs

Fact-checked 12 Nov 20264 claims checked against their sources.
4 claim(s) we couldn't fully verify
  • · 512GB needs the 32-core CPU / 80-core GPU chip; the base 28-core M3 Ultra caps at 256GB - Apple's M3 Ultra tech-spec page (support.apple.com/en-us/122211) now lists only 96GB configurable to 256GB, with no 512GB tier, so the launch-era chip/memory pairing can no longer be confirmed there. The March 2025 newsroom release confirms the 512GB ceiling but not which chip it required.
  • · power_w 240 - Apple only publishes a 480W maximum continuous whole-unit rating; 240W is an approximate GPU-inference-load figure, not a vendor number, and real draw varies with the model.
  • · Status discontinued; price ~USD 14,000+ / GBP 13,000+ (Sept 2026, 512GB) - Grounded Sept 2026 sweep: the M3 Ultra Mac Studio was discontinued late Aug 2026. Scarce remaining/reseller stock had been marked UP - integrators cited ~USD 16,999-25,000+ against a ~9,499-14,099 launch. Volatile and reseller-dependent; frontmatter set to an indicative ~14,000 mid, body flags the EOL scarcity. Status -> discontinued. 2026-11-12: the earlier note that nothing in the M5 line matched 512GB was wrong - the M5 Ultra Mac Studio (announced 25 Aug 2026) also goes to 512GB - and reseller pricing for the M3 Ultra wasn't re-checked.
  • · compute_tops null - Apple does not headline an AI TOPS figure for the M3 Ultra, and the Neural Engine isn't used for LLM inference here, so it's left null.

Sources we drew on

The spec sheets, vendor pages and reviews behind this page.

Common questions

What size model can the Mac Studio M3 Ultra run?+

This is the machine's whole reason to exist. 512GB of unified memory holds 400B-class mixture-of-experts models like the full DeepSeek R1 locally, which no 128GB box comes near. A 70B at Q4 is trivial, and you can keep several large models resident at once.

Why is prompt processing slow on the M3 Ultra?+

Token generation rides the 819 GB/s bandwidth and is quick even on big models. Prompt processing - the bit where it reads your input before replying - is the M3 Ultra's soft spot, so on a very long prompt or a massive model you'll wait for the first token.

Is 512GB worth it over a 128GB machine?+

Only if your models exceed 128GB. If they fit in 128GB, a Strix Halo box loads the same models for a fraction of the price. The 512GB M3 Ultra earns its money purely when nothing smaller can hold what you're running.

Can it run CUDA models?+

No. There's no Nvidia CUDA on Apple silicon. You run models through MLX or llama.cpp, and anything that specifically needs CUDA won't run here.