





Memory decides whether a model fits on the machine at all; bandwidth decides how fast it answers. The selected configuration has 256GB of memory and 1.2TB/s of bandwidth.
| Memory | Available to the model | Max model size | What it can do |
|---|---|---|---|
| 36GB | ~27GB | ~43B parameters | Q&A over internal documents, summarizing, drafting — small teams |
| 48GB | ~36GB | ~57B parameters | Q&A over internal documents, summarizing, drafting — small teams |
| 64GB | ~48GB | ~76B parameters | Larger models, longer context, serving many concurrent users |
| 96GB | ~72GB | ~115B parameters | Larger models, longer context, serving many concurrent users |
| 128GB | ~96GB | ~153B parameters | Very large models, or several models side by side on one machine |
| 256GB | ~192GB | ~307B parameters | Very large models, or several models side by side on one machine |
Estimates based on: a 4-bit quantized model takes ~0.5 bytes per parameter; macOS lets the GPU use ~75% of memory; 20% is reserved for context. These are not benchmark results — we test on real hardware for you before you commit.
Up to 48GB · your 256GB configuration
Q&A over your internal documents, summarizing and drafting for a small group of users. A good fit if your business is new to AI and wants its data to stay in the office.
64–96GB · your 256GB configuration
Larger models and longer context (multi-page files and contracts), serving many people asking questions on the same internal network.
128GB and up · your 256GB configuration
Run very large models, or several models side by side on one machine (for example, one model for Q&A and one dedicated to document processing).
There is no fixed user count per tier: it depends on the model, prompt length and how many people ask at once. Namtech measures against your real workload before you commit to a configuration.
| Chip | Apple M5 Ultra |
|---|---|
| CPU | 30 cores |
| GPU | 64 cores |
| Neural Engine | 32 cores |
| Unified memory | 256GB |
| Memory bandwidth | 1.2TB/s |
| Storage | 1TB |
| Ports | 4× Thunderbolt 5 (USB-C, up to 120Gb/s, DisplayPort 2.1) · 2× USB-A (up to 5Gb/s) · 1× HDMI 2.1 · 1× 10Gb Ethernet (Nbase-T, RJ-45) · 3.5 mm headphone jack · Front: SDXC card slot (UHS-II) + 2× USB-C 10Gb/s (M5 Max) or 2× Thunderbolt 5 (M5 Ultra) · Wi-Fi 7 (802.11be), Bluetooth 6, Thread — Apple N1 chip |
| Display support | M5 Max: up to 5 external displays · M5 Ultra: up to 8 external displays (6K@60Hz) |
| Dimensions | Height 9.5 cm · Width 19.7 cm · Depth 19.7 cm |
| Weight | 3.6 kg |
| Power | 100–240V AC, maximum continuous power 480W · operating temperature 10–35°C |
| In the box | Mac Studio and power cord |
Specifications from apple.com/vn, updated September 24, 2026. Prices on this page include VAT.
Genuine Apple keyboards, mice, trackpads, cables and Studio Display monitors compatible with Mac Studio and Mac mini, selected using the compatibility filter on apple.com/vn. You can order them together with your Mac.
























About 307B parameters at 4-bit quantization. With 256GB of unified memory, about 192GB is available for the model after leaving room for the operating system and conversation context. This is an estimate to help you choose a machine; the real figure depends on the specific model, context length and number of concurrent users.
Yes. The 256GB configuration holds models up to about 307B parameters at 4-bit quantization, so a 70B model fits entirely on the machine. The machine still has spare memory for long context, many users or running additional models.
Very large models or multiple models. Run very large models, or several models side by side on one machine (for example, one model for Q&A and one dedicated to document processing). The actual number of concurrent users depends on the model and prompt length, so Namtech measures on real hardware against your workload before you commit to a configuration.
324.000.000₫, VAT included, with the default 1TB SSD. Namtech issues invoices to businesses and advises on the configuration for the models you need to run. Storage can be upgraded from 1TB to 16TB, with the price updating instantly in the configurator at the top of the page.
No. Mac Studio memory is built into the chip, so you must choose the right amount when you order. That is why you should work out the size of the models you plan to run before you decide.
Both have 256GB, so they run the same model sizes (~307B) with the same 1.2TB/s bandwidth. The difference is the GPU: 64 cores vs 80 cores — more cores read long prompts faster. Price: 324.000.000₫ vs 366.900.000₫, VAT included.
Tell us what you plan to use AI for and how many people will use it — Namtech will recommend a configuration that fits your needs, with no overselling.