QDNAAdvisory and architecture for LLM inference and training platforms, on-premises or hybrid

Mac Studio Ultra

Apple Silicon, unified memory

Mac Studio Ultra
Indicative price€6,599 to €20,679 incl. VAT on the Apple Store France as of 25 August 2026 (as reported by MacGeneration): €6,599 for the M5 Ultra with 96 GB and 1 TB, €20,679 with 36 cores, 256 GB and 16 TB; the 512 GB variant, announced for late October 2026, is not priced yet (price guide)
MemoryM5 Ultra up to 512 GB: 96 GB base, 256 or 512 GB as options (36-core CPU variant only, 512 GB announced for late October 2026)
ChipM5 Ultra, 30 CPU cores and 64 GPU cores, or 36 and 80 as an option (detailed analysis)
Bandwidth1.2 TB/s unified, 50% more than the M3 Ultra according to Apple (819 GB/s on the 2025 datasheet, i.e. +47% by calculation)
RuntimeMLX or llama.cpp
Power draw480 W maximum continuous (Apple datasheet), quiet
Form factorCompact desktop

What the machine runs

Large quantised mixture-of-experts models thanks to unified memory, with moderate throughput. Recommended runtime: MLX or llama.cpp.

Positioning

Apple's option remains quiet and offers large memory per euro and per watt. The 2026 RAM shortage means availability and pricing must be checked.

Manufacturers

The Mac Studio is designed and assembled by Apple.

Support

The Mac Studio runs on Apple Silicon. NVIDIA AI Enterprise does not apply to this hardware; support comes from QDNA and the open-source ecosystem, MLX and llama.cpp.

Configure this hardware

A no-obligation conversation to size your platform.

Book a call

Which models fit on Mac Studio Ultra?

The machine offers 512 GB of memory. 4 of the 7 open models in the catalogue load on it, in the format shown.

ModelBillion parametersMost precise format that fitsSizing page
GLM 5.2744NVFP4GLM 5.2 on Mac Studio Ultra
Nemotron 3 Ultra550NVFP4Nemotron 3 Ultra on Mac Studio Ultra
MiniMax M3428FP8MiniMax M3 on Mac Studio Ultra
Qwen 3.8 27B27FP16Qwen 3.8 27B on Mac Studio Ultra

See the full sizing matrix.

Frequently asked questions

How much does a configured mac studio cost for an LLM?

Pricing depends on configuration and supplier. The page shows a dated public price; we provide a detailed quote after a scoping call.

Which LLM fits in a mac studio?

Depends on the quantization format and the input context. The table on the page indicates the recommended maximum model size.

Which runtimes support the mac studio?

MLX or llama.cpp; vLLM and Triton Inference Server target NVIDIA GPUs. The model, format and GPU combinations measured by QDNA are published in the measurements section.