Build AI,

Deploy Mac

Run private, enterprise‑grade AI chat with ultra‑low latency, strong privacy, and predictable costs — all on your own Mac Studio or Mac mini.

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On‑prem privacy Metal‑accelerated inference Predictable TCO

A practical on‑prem option for regulated markets and low‑latency use cases.

Ultra‑low latency

Keep inference on the same LAN as your apps for snappy responses and consistent tail latency — ideal for support tools and operator consoles.

Strong privacy & residency

Prompts and files never leave your perimeter. Suitable for strict geographies and vendor policies.

Predictable cost profile

Fixed hardware means consistent monthly costs compared to metered API usage, especially at steady volumes.

Great single‑box performance

Apple Silicon delivers high memory bandwidth and efficient on‑device acceleration, well‑suited to 4‑bit/8‑bit quantized models.

Simple ops

Use Ollama for straightforward model management. No cluster orchestration needed.

Flexible migration path

Start on a single Mac Studio for pilot, then scale with more in your data center when ready.

Local inference = less network hop: avoid WAN round‑trips and erratic latencies from shared APIs.
Optimized for Apple Silicon: take advantage of Metal‑accelerated backends and unified memory for large contexts.
Right‑sized models: pair quantized general models for chat with slim retrieval models for KB Q&A to keep token throughput high.
Consistent performance: with dedicated hardware, your users aren’t competing with external traffic spikes.

Tuning tips for best throughput

Prefer 4‑bit quantization for assistants; use 8‑bit for coding or higher‑fidelity tasks.
Keep prompts concise; cache system prompts where possible.
Batch low‑priority background jobs; keep interactive chats single‑request for latency.
Use host.docker.internal to let containers reach local models on macOS.

Not every workload needs a cluster.

Internal support copilots

Knowledge‑base Q&A with RAG

Agentic form‑fillers & macros

Low‑volume customer chat

Offline/air‑gapped pilots

Data‑sensitive verticals