Specs at a glance
| CPU | Apple M3 Ultra — 32 cores |
| GPU / NPU | 80-core integrated GPU + 32-core Neural Engine |
| RAM options | 64 / 96 / 192 GB unified memory |
| Storage | NVMe SSD 1–8 TB |
| Power draw | 30–215 W |
| Form factor | 197 × 197 × 95 mm |
| Local LLM capability | Up to 70B Q4 |
| Agent score | 10/10 |
| Price point | €4,500–7,000 |
Overview
The Mac Studio M3 Ultra sits at the peak of the personal-and-small-team local-LLM hardware stack. 192 GB unified memory means almost any quantised model fits. 80-core GPU + Neural Engine moves serious tokens per second. Power draw is high under load (~215W peak) but average usage stays modest. The €4,500–7,000 price tag rules out hobbyists, but for production deployments where local-LLM throughput is the bottleneck, this is the small-form-factor leader.
Best for
- Production local-LLM deployments at scale
- Llama 3.3 70B / Qwen 72B at usable speeds
- Power users who want "as good as it gets" small-form-factor
Not for
- Anyone cost-sensitive
- Linux-first stacks (Asahi Linux not yet production-ready for this)
- Use cases satisfied by Mac Mini M4 Pro
Compatible self-hosted agents
Tested working on Mac Studio M3 Ultra (with the caveats from “Best for” / “Not for” above):
Where to buy
Manufacturer page: https://www.apple.com/mac-studio/. We don't have an active affiliate programme with this vendor — see our disclosure page for the full list of partners we do work with.
See: all pocket AI hardware · edge AI hardware buyer's guide · how we test.