Mac or PC for local LLMs?
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Mac or PC for local LLMs depends on model size. Pick a Mac for the largest models on one desk; a Mac Studio M5 Ultra starts at 96 GB. Pick an NVIDIA PC for CUDA and shared serving; Olares One is our pick there.
Olares One → Computer for local LLMs → Ollama · vLLM · LM Studio → Local models without the cloud
Mac or PC for local LLMs: what is the real difference?
Memory. A PC with an NVIDIA card has fast VRAM in fixed amounts, 24 GB or 32 GB on the cards in our data. A Mac shares one pool of unified memory between CPU and GPU. Apple lists it from 36 GB on a base Mac Studio M5 Max up to 512 GB on a top Mac Studio M5 Ultra.
That pool lets a Mac hold models no single consumer card can. A 70B model needs about 40 GB (approximate rule of thumb at 4-bit), which fits in a base M5 Ultra with room to spare.
Where does a Mac do better?
A Mac does better on capacity, bandwidth and simplicity. Apple lists the Mac Studio M5 Ultra from 96 GB at 5,499 USD (read 12 November 2026), with 1.2 TB/s of bandwidth. LM Studio and Ollama run natively, and Apple's MLX framework is built for this hardware. It is one box on a desk, with no drivers to manage.
Where does a PC do better?
A PC with an NVIDIA GPU does better on CUDA tools, serving and upgrades. vLLM and many image and video tools are built for NVIDIA first. Linux with a batched engine handles many requests at once. PC memory and storage can grow later, while Mac memory is fixed at purchase.
Olares One, for example, takes up to 128 GB of RAM. Olares' own benchmark (October 2025) shows what CUDA buys on it. FLUX.1 dev with Nunchaku FP4 took 8.32 s per image after the first, Wan 2.2 took 98 s per video after the first, and Qwen3-30B-A3B served 8 concurrent requests at about 81 tokens per second each. A used RTX 3090 tower is the cheap way into CUDA, at about 3,800 USD in a SpecPicks estimate without a case.
Which should you buy?
We'd buy a Mac if you work alone and model size matters most. We'd buy a PC if you need CUDA or a server for several devices, and for that PC Olares One is our pick. The answer flips to Mac whenever your daily model is 70B or larger, because no single consumer NVIDIA card in our data holds it.
| Machine | Model memory | CUDA | Price (read 12-13 Nov 2026) |
|---|---|---|---|
| Mac Studio M5 Max | 36 GB (base) | No | 2,499 USD |
| Mac mini M5 Pro | 64 GB | No | 3,199 USD |
| Mac Studio M5 Ultra | 96 GB (base) | No | 5,499 USD |
| Used RTX 3090 tower | 24 GB VRAM | Yes | about 3,800 USD (SpecPicks estimate) |
| Olares One | 24 GB VRAM + 96 GB RAM | Yes | 4,999 USD |
The desktop guide adds DGX Spark and AMD boxes, laptop or desktop covers portable use, and the Ollama guide covers the runtime both platforms share.
Questions & answers
Is a Mac good for running LLMs locally?
Yes, especially for large models. Unified memory lets a Mac Studio M5 Ultra hold a 70B model easily. The trade is no CUDA, which limits some tools.
Can a Mac use models served by a PC?
Yes. Run LM Studio or a chat app on the Mac and point it at an Ollama or vLLM server on the PC. Olares' FAQ describes this setup with LM Studio and Olares One.
Sources for this entry
- Apple Mac Studio (M5 Max): maker's page (Maker-published)
- Apple Mac mini (M5 Pro, 64GB): maker's page (Maker-published)
- Used RTX 3090 tower build: maker's page (Maker-published)
- Olares One: maker's page (Maker-published)
- Olares blog: local AI hardware benchmarking (Oct 2025) (Company-published)
- Olares One FAQ (Olares docs) (Company-published)
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Cite this entry
Best Computer for Local LLM. “Mac or PC for local LLMs?.” Content reviewed 13 November 2026.
https://bestcomputerforlocalllm.com/mac-or-pc-for-local-llm/