Blog · 17 September 2026 · 5 min read
Local AI: Mac or GPU server?
Choosing the hardware is the first decision in a local AI project. There's no single right answer for everyone: it depends on how many people will use the AI, which models you need and where it will be installed.
In short: a Mac with Apple Silicon suits offices and small to medium teams, because unified memory lets you load large models on a quiet, low-power machine. A GPU server makes sense when many users use the AI at the same time, when you need maximum performance, or when the hardware has to go in a rack or a data centre. Either way, the deciding factor is the memory available to the model.
Memory decides which models you can use
An artificial intelligence model must fit entirely in memory to respond quickly. As a reference, a model with around 30 billion parameters compressed to 4 bits takes up about 20 GB, and one with 70 billion over 40 GB.
- On Macs with Apple Silicon memory is unified: the same RAM is used by the processor and the GPU. A 2026 Mac Studio starts at 36 GB (M5 Max) and at 96 GB with the M5 Ultra, with larger memory configurations available on request.
- On servers what counts is the graphics card memory (VRAM). To get a lot of memory you fit several cards, with costs, power consumption and heat rising accordingly.
Quick comparison
| Mac with Apple Silicon | GPU server | |
|---|---|---|
| Large models | Yes, thanks to unified memory | Yes, with multiple cards or professional cards |
| Simultaneous users | Few to moderate | Many |
| Response speed | Good for office use | Maximum |
| Power consumption and noise | Low, suitable for an office | High, best in a server room |
| Installation | On a desk or in a cupboard | Dedicated rack, power and cooling |
| Entry cost | From €3,049 (Mac Studio M5 Max) | On quotation, highly variable in 2026 |
A real example
At Dabryx we use a Mac Studio with an M1 Ultra chip and 128 GB of unified memory. It runs open models with 35 and 122 billion parameters, a chat with personal accounts, document reading, image generation and automations, securely accessible from the team's smartphones too over a private network.
It's a configuration from a few generations ago: 2026 Mac Studios offer newer chips and even larger memory configurations.
How to choose
- Up to a few dozen people, office use (questions about documents, writing, summaries): a Mac with plenty of memory is usually the simplest and most cost-effective choice.
- Many simultaneous users, integration into applications with constant traffic or a need for maximum performance: GPU server.
- Targeted tasks (sorting emails, extracting data from documents): a small model on the hardware you already have is often enough.
Before buying anything, it's worth testing the models on your own documents: it's the most reliable way to understand how much memory you really need.
Frequently asked questions
Is a Mac mini enough for a local AI?
For small models and targeted tasks it may be enough. For larger models and more users you need more memory, and the Mac Studio offers much larger configurations.
Can you start with a Mac and move to a server later?
Yes. Tools such as Ollama and Open WebUI run on both: models, configurations and automations can be moved as usage grows.
Is an internet connection required?
Not to use the AI: processing happens on site. The internet is only needed to download model and software updates.
Want an estimate for your company?
Tell us how many people will use the AI and what for: we'll tell you which configuration you need.
Response times
Within 2 hours on business days (9:00–18:00) for clients with a support contract.
AI consulting
From €100 per hour, on your company's servers or Macs.
Where we work
All over Italy, remotely and on site.