Learn.

Plain answers about earning with a Mac, running AI on Apple Silicon and how MLX Network works. Every outside number links to its source.

Get started

Earn with your Mac

Run AI on Apple Silicon

DeepSeek V4.1 Flash 1017.DeepSeek-V4.1-Flash-1017 explained: what changed on 17 October, benchmarks against Opus 5 and GPT-5.6 Sol, parameters, memory needs, API price and how to run it.Read the guideRun DeepSeek V4.1 Flash on a Mac.How to run DeepSeek V4.1 Flash (and 1017) locally on a Mac: how much RAM each MLX and GGUF build needs, which Mac Studio holds it, real tokens per second and commands.Read the guideRun an LLM on your Mac.Run large language models on a MacBook, Mac mini or Mac Studio, privately and offline. Step-by-step with Apple's MLX, Ollama and LM Studio, plus what fits in your Mac's memory.Read the guideDownload and run LLMs on your Mac.Where to download LLMs for a Mac, which size and quantization fit your memory, disk space, gated models, and how to run them with MLX, LM Studio and Ollama.Read the guideThe best Mac for local LLMs.Which Mac should you buy to run LLMs locally? Memory decides what fits and bandwidth decides speed. Every Apple Silicon chip compared, from MacBook Air to Mac Studio M5 Ultra.Read the guideMac AI clusters.How to build an AI cluster from Mac minis or Mac Studios: RDMA over Thunderbolt 5, MLX distributed and exo, real speedups, and why a network of Macs goes further.Read the guideMLX vs Ollama vs llama.cpp.Apple's MLX, Ollama and llama.cpp compared for running LLMs on Apple Silicon: speed, model formats, ease of use and when to pick each. Updated for Ollama's MLX preview.Read the guideThe best apps to run LLMs on a Mac.MLX Harness, LM Studio, Ollama, Jan, llama.cpp and mlx-lm compared for running local LLMs on Apple Silicon: open source or not, MLX or GGUF, app or command line, and local API.Read the guideCan my Mac run Perplexity Computer locally?Perplexity Computer now runs fully on Apple silicon Macs, with 36 GB of memory or more recommended. Which Macs have it, and what 24 GB and 32 GB Macs can still do.Read the guide

MLX Network

Apple Silicon chips for AI

Memory, bandwidth and which models fit, for every chip from M1 to M6.

Learn: earn with your Mac, run AI on Apple Silicon | MLX