Why Apple Silicon
Apple Silicon rewrote the rules for local AI. Here is why developers, researchers, and businesses worldwide are choosing Mac mini and Mac Studio as their primary AI machines.
CPU and GPU share one memory pool with no data transfer penalty. Your AI model sits in unified memory and both processors read it simultaneously, dramatically faster inference than any discrete GPU system at this price point.
The Mac mini M4 draws just 12W at idle and 20-30W under full LLM inference load. Run it 24/7 as a home or office AI server for a fraction of what a GPU workstation consumes, silent and always on.
Your prompts, documents, and business data never leave your machine. Run sensitive workflows through AI without cloud exposure. No data logging, no usage policies, no third-party servers, fully GDPR compliant by design.
A typical user spending $150 per month on Claude or OpenAI API credits can reduce that to near zero by routing everyday tasks to a local 70B model. The hardware pays for itself within 12 months for moderate-to-heavy API users.
No internet connection required once set up. Your AI runs on a plane, in a remote location, or during an outage. Reliable, always-available AI intelligence that does not depend on any external service or subscription.
Serve Claude via API, run Ollama as a local server for your entire network, connect LM Studio to any browser or IDE, and integrate with Cursor, VS Code, and Raycast, all from one compact machine on your desk.
Compatible Platforms
Once your Mac is configured, any AI tool, browser extension, desktop app, or developer SDK can connect to it as a local inference engine.
Use Claude via the Anthropic API directly from your Mac. Ollama v0.14.0+ also exposes an Anthropic-compatible endpoint, so any Claude-built tool can route to locally running open-weight models at zero cost per token.
Connect any ChatGPT-compatible browser extension or application to your local Mac server. Ollama and LM Studio both expose an OpenAI-compatible REST API, so any tool built for ChatGPT works without modification.
Perplexity is an AI-powered search engine with a Computer mode that browses the web, writes code, and completes multi-step tasks autonomously. Use it alongside your local Mac AI setup. Perplexity handles live web research while your local models process private or high-volume tasks offline.
A growing local AI platform optimised for Apple Silicon. Run open-weight models with an intuitive interface, benchmark performance across model sizes, and deploy AI agents entirely on your own hardware.
The most popular local LLM runner for macOS. One-command model downloads, a local REST API server, and native Metal GPU acceleration. Run Llama 3, Mistral, Gemma, Phi-4, and hundreds of other open models.
A polished desktop application for downloading, managing, and chatting with local models. Includes a built-in OpenAI-compatible server. Connect Chrome, Arc, Firefox, or Safari extensions to your Mac in minutes.
Apple's own machine learning framework designed specifically for Apple Silicon. MLX-optimised models run faster and more efficiently than standard GGUF on M4 hardware, especially noticeable on M4 Pro and above.
Access Google Gemini via API from your Mac, or run Gemma open-weight models locally through Ollama. Google's open Gemma models are among the best-performing small models on Apple Silicon, running at impressive speeds even on 16GB configurations.
Performance Guide
Choosing the right amount of unified memory determines which model sizes you can run at usable speeds. Here is a practical breakdown.
| Model Size | Mac mini M4 16GB | Mac mini M4 24-32GB | Mac Studio M4 Max 36GB+ |
|---|---|---|---|
| 3B to 8B modelsLlama 3.2, Phi-4 Mini, Gemma 3 | Excellent~25 tokens/sec | Excellent~30 tokens/sec | Blazing fast50+ tokens/sec |
| 14B to 32B modelsQwen 2.5, Mistral Large, Gemma 27B | LimitedUses disk swap | Good~12-18 tokens/sec | Excellent~25 tokens/sec |
| 70B modelsLlama 3.3 70B, Qwen2.5 72B | Not viable | Usable~3-5 tok/s (32GB) | Good~8-12 tokens/sec |
| Claude API / OpenAI APICloud-routed, no local compute needed | Full speed | Full speed | Full speed |
Available at Macfixit Australia
Every Mac mini and Mac Studio below is brand new and ships from Australia. Arranged from entry level through to professional AI workstation.
10-core CPU, 10-core GPU, 16-core Neural Engine, Thunderbolt 4
10-core CPU, 10-core GPU, 16-core Neural Engine, Thunderbolt 4
10-core CPU, 10-core GPU, 16-core Neural Engine, Thunderbolt 4
14-core CPU, 32-core GPU, 546 GB/s, Thunderbolt 5, 40Gb Ethernet ready
Understanding AI
Curious about what is happening behind the scenes when you chat with an AI? Here is a plain-English explanation of the key concepts, no technical background required.
An AI language model is trained on vast amounts of text, books, websites, code, and conversations. During training it learns the statistical patterns of language: which words follow others, how ideas connect, and how sentences are structured. It stores this knowledge as billions of numerical values inside a file. When you type a question, it uses those values to predict the most helpful response, one small piece of text at a time.
A token is the smallest unit an AI reads and writes, roughly three-quarters of an English word on average. The word "Australia" is one token. The phrase "How are you?" is four tokens. Every word you send and every word the AI replies with is counted in tokens. Cloud AI services charge per token. Running a local model on your Mac means unlimited tokens at zero cost per request, no matter how long the conversation.
No, and this is important. A local AI model is not a background process listening to you. It sits completely dormant as a file on disk until you send it a prompt. Think of it like a very advanced calculator: press a button and it computes; do nothing and it does nothing. Cloud AI services like Claude.ai and ChatGPT are exactly the same. They only process your data when you actively send a message. Nothing is recorded without your interaction.
Every conversation with an AI happens inside a context window, which is the total amount of text the model can see at once, including your full conversation history and any documents you share. When the window fills up, the oldest parts are dropped. Larger context windows (measured in thousands of tokens) let you work with longer documents and have deeper, more connected conversations without the AI losing track of earlier details.
Cloud AI such as Claude.ai, ChatGPT, and Perplexity sends your prompts to a remote server, which processes them and returns a response. Local AI runs the entire model on your Mac, so your words never leave your machine. Cloud AI gives you access to the latest, most powerful models. Local AI offers complete privacy, no cost per query, and works without internet. Many power users combine both: local AI for sensitive or high-volume tasks, cloud AI for the most demanding requests.
An AI agent is a model given tools, the ability to browse the web, run code, read and write files, or control software on your behalf. Instead of just answering questions, an agent can complete multi-step tasks on its own: research a topic online, summarise the findings, draft a document, and send an email, all from a single instruction. Mac mini and Mac Studio are ideal agent machines: silent, power-efficient, and capable of running agent frameworks like Perplexity Computer, Open Interpreter, or Claude Computer Use around the clock.
Macfixit Professional Services
Our technicians will configure your new Mac mini or Mac Studio as a fully operational AI workstation. Ollama, LM Studio, Claude API routing, OpenAI integration, browser setup, and more, handled professionally so you are productive from day one.
Install and configure Ollama or LM Studio, download one or two recommended models, verify Metal GPU acceleration, and test browser integration.
Multi-tool installation (Ollama, LM Studio, OpenClaw), curated model library, local network server configuration, and browser extensions across all browsers.
Configure API keys securely, set up local/cloud routing rules, connect to developer tools including Cursor, VS Code, and Raycast, and validate all endpoints.
Configure AI agents, automation pipelines, document processing workflows, or custom integrations tailored to your specific business requirements.
