Earlier today, Apple unveiled the new generation of Mac mini and Mac Studio, featuring the latest entries in the Apple silicon family of chips: the M6, available in the Mac mini, and the M5 Ultra, exclusive to the Mac Studio. You can read more details about the announcement and related specs in John’s overview. As
Apple introduces M6 and M5 Ultra for a big leap in performance and AI compute
Apple debuted M6 in the new Mac mini and M5 Ultra in the new Mac Studio, providing an extraordinary leap in performance and AI capabilities.
Mac Studio
The ultimate pro desktop. Powered by M4 Max and M3 Ultra for all-out performance and extensive connectivity. Built for Apple Intelligence.
Alex Cheema on Twitter / X
It’s kind of crazy but the shitstorm of supply chain issues has created a new best-in-class local AI deployment: M5 Max MacBook clusters.- The memory unit economics are great - each MacBook has 128GB @ 614GB/s for $5k- M5 Max added tensor cores (Apple Neural Accelerators) with… https://t.co/f8STQ0tLZs pic.twitter.com/FLm3oOnyEl— Alex Cheema (@alexocheema) May 14, 2026
Exploring LLMs with MLX and the Neural Accelerators in the M5 GPU
Mac with Apple silicon is increasingly popular among AI developers and researchers interested in using their Mac to experiment with the…
Every Apple M Chip Explained – M1, M2, M3, M4, M5
MacBook Air (M4)
The MacBook Air with the M4 chip is Apple's most powerful yet, with amazing battery life and buttery-smooth performance in a thin and light profile.
Locally AI - Run AI models locally on your iPhone, iPad, and Mac.
Run Llama, Gemma, Qwen, DeepSeek, and more on your iPhone, iPad, and Mac. Optimized for Apple Silicon. Offline. Private.
raullenchai/Rapid-MLX
The fastest local AI engine for Apple Silicon. 4.2x faster than Ollama, 0.08s cached TTFT, 100% tool calling. 17 tool parsers, prompt cache, reasoning separation, cloud routing. Drop-in OpenAI replacement. Works with Claude Code, Cursor, Aider.
raullenchai/Rapid-MLX
The fastest local AI engine for Apple Silicon. 4.2x faster than Ollama, 0.08s cached TTFT, 100% tool calling. 17 tool parsers, prompt cache, reasoning separation, cloud routing. Drop-in OpenAI replacement. Works with Claude Code, Cursor, Aider.
DHH on Twitter / X
Going to double down on the MacBook mission with Omarchy. We almost have perfect coverage for the vintage Intel era going from 2009-2020. There's a straight shot to get the M1 and M2 machines going too, even if it's a lot more work. But we'll do the work. We'll fix everything.— DHH (@dhh) August 22, 2026
Running local models on an M4 with 24GB memory | jola.dev
Experiments with getting usable outputs out of local models on a standard Macbook
shuru - Local-first microVM sandbox for AI agents
Local-first microVM sandbox for AI agents on macOS, with experimental Linux ARM64 support
2024 MacBook Air review: Dawn of the AI laptop
Apple's new laptop is one of the first pitching itself as being ideal for AI. Soon it'll have plenty of company.
mzau/broke-cluster
A Poor Man's Apple Silicon LLM Cluster — tuned for MLX, scalable without shame.
Apple Does Fusion.
For the first time in five generations of Apple Silicon, these chips are not a single piece of silicon. The newly announced M5 Pro and M5 Max use what Apple calls Fusion Architecture. This is a big…
so that new Mac Studio and M5 Ultra have me thinking about 2030 now the wildcard on the $1200ish 2030 Mac Mini is RAM. who knows what the future holds for RAM but the trajectory is clear: a reasonably priced home computer is going to have absolutely sicko inference power within a few years now…
