Mac Studio M5 Max & M5 Ultra – a local AI workstation for business

The most important factor is enough memory to hold the model, followed by memory bandwidth. Rule of thumb: a 4-bit quantized model takes about 0.5GB per billion parameters, plus extra for conversation context. The lowest-priced Mac Studio on this page (36GB, 84.000.000₫) runs models up to about 43B parameters; the 256GB version runs up to about 307B.

It depends on the model size: 36GB runs up to ~43B, 64GB up to ~76B, 96GB up to ~115B, 128GB up to ~153B and 256GB up to ~307B parameters (estimates at 4-bit quantization). The method: macOS lets the GPU use about 75% of memory, 20% is reserved for context, and each parameter takes about 0.5 bytes.

Yes, on the 64GB version and above. The lowest-priced configuration that runs a 70B model is the Mac Studio M5 Max 18CPU 40GPU 64GB 512GB at 117.000.000₫ (VAT included), which holds models up to about 76B at 4-bit quantization. To run 70B at lighter quantization for higher-quality answers, or to serve many people at once, choose 128GB or more.

It depends on which version of DeepSeek you plan to run. The smaller distilled versions, with a few tens of billions of parameters, run on the 36GB version and above (~43B). The full DeepSeek model is far larger than the ~307B that a 256GB machine can hold at 4-bit, so it needs heavier quantization or several machines linked together. Send us the specific model name and Namtech will map it to a suitable configuration.

At Namtech, Mac Studio M5 Max is priced from 84.000.000₫ to 169.800.000₫, and M5 Ultra from 192.000.000₫ to 366.900.000₫ with default storage. Prices include VAT and come with a VAT invoice and advice on choosing a configuration for the AI models you need to run. SSD upgrades cost extra — choose them on each machine's detail page.

M5 Ultra offers roughly twice what M5 Max does where it matters for AI: memory bandwidth of 1.2TB/s vs 460GB/s or 614GB/s, a 64- or 80-core vs 32- or 40-core GPU, and a 32-core vs 16-core Neural Engine. M5 Max has 36–128GB of memory (models up to ~153B); M5 Ultra has 96–256GB (up to ~307B).

The 96GB version runs models up to about 115B parameters, the 256GB version up to about 307B (estimates, 4-bit quantization). The 96GB version suits large models for many concurrent users; the 256GB version suits very large models or running several models at once. Prices: 96GB version 192.000.000₫ – 234.900.000₫; 256GB version 324.000.000₫ – 366.900.000₫, VAT included.

It depends on the model size. According to NVIDIA, the RTX 5090 has 32GB of graphics memory, so models larger than that need multiple cards or run more slowly. Mac Studio uses up to 256GB of unified memory, loads models up to ~307B on one machine, and draws at most 480W. Conversely, for models that fit in 32GB and tools written specifically for NVIDIA, an RTX 5090 PC is worth considering.

Both are desktop machines with unified memory. According to NVIDIA, DGX Spark has 128GB of unified memory; Mac Studio M5 Ultra offers a 256GB option, holding larger models on one machine. DGX Spark has the advantage of running NVIDIA's software ecosystem. Mac Studio runs macOS, sits neatly in an office and can be used as an ordinary work computer.

Yes, for small models, experiments or a few users. When you need large models, long context or many people asking at once, move up to Mac Studio, which offers 36GB to 256GB of memory. Namtech gives straightforward advice: if a Mac mini is enough for your workload, we will tell you.

On-premise AI is an AI model running on a machine located at your company, with no questions or documents sent to outside services. Cloud AI is the opposite: data passes through the provider's servers and is usually billed per use. On-premise suits HR records, contracts and customer data; the trade-off is a one-time hardware investment that your business manages itself.

Yes. Mac Studio can run a Q&A assistant over your internal document library for staff on the company network, with no data leaving. The machine itself is standard, unmodified Apple hardware; Namtech can install and tune the software that runs your models (MLX, Ollama or LM Studio) to your requirements, quoted separately based on the scope of work.

Technically yes: multiple machines connected via Thunderbolt 5 can split one large model between them. However, this is more complex to operate. For most businesses, choosing one machine with enough memory from the start is still simpler. If your workload genuinely needs a cluster, Namtech will advise case by case.

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 settling on a configuration.

Yes. Prices listed on this page include VAT, and Namtech issues full VAT invoices to businesses. Configurations with upgraded RAM or SSD are built to order; we confirm the delivery date when we receive your request.