this post was submitted on 14 Jul 2026
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Basically Apple will be building the perfect computers to run local LLMs.
One can only hope that it totally breaks the AI/LLM at industrial scale, so businesses can run their own AI systems with their own data sets.
No more of this fucking datacanter horseshit.
Local LLMs are cool but also pretty slow compared to cloud. If you have to wait half an hour for your Feature while coding you might still opt for the cloud agent.
Have you tried running a local model on a M series Mac?
Yes ofc I ran Gemma 4 for example, but compare that to the speed of Gemini in the cloud the difference is massive.
How much RAM do you have and which version of the model did you run?
Local LLMs can be just as fast as long your device clears the requirements. If you noticed a huge difference, there’s a really good chance that you tried to use a model that requires more RAM than you have
I ran Gemma 4 31 B quantized so it fits in my RAM. The decoding speed was decent, but if you look at the newest models for example Gemini flash 3.5 they have a decoding speed of 280 token per second, they generate an entire page before my Mac locally generates a sentence.
That is a bit too much for your hardware, even the Q4_0. You needed a smaller version (26B likely would suit you better. It would be faster and is a MoE)