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points by hmokiguess 2 days ago | 0 comments

which rumours?

[–] speedgoose 2 days ago

The M7 will the much better for local LLM inference. If you can afford the memory.

[–] hmokiguess 2 days ago

Oh interesting, any more info on "how"?

[–] smallmancontrov 2 days ago

With a three point plan, I suspect: memory bandwidth, memory bandwidth, and more memory bandwidth.

[–] heroiccocoa 2 days ago

How useful would that actually be for local inference, when the bottleneck is, essentially, always memory size? I think the sweet spot is somewhere around 64 to 128 GB. That ought to be enough for almost all uses, like Qwen3.8-Flash-Next at a decent quant.

[–] skohan 2 days ago

Memory size is a bottleneck, but I have found that speed is very important for getting actual work done. Running a big model is great, but if you're getting 10t/s you're going to be spending a lot of time waiting.

[–] kridsdale1 2 days ago

> I think the sweet spot is somewhere around 64 to 128 GB. That ought to be enough for almost all uses

This will be the “640kb ought to be enough for anybody” Bill Gates quote of our era.

[–] smallmancontrov 2 days ago

You can order a 128GB MacBook Pro today -- though point taken, memory size probably does belong in the three part plan :-)

[–] shwaj 2 days ago

Plus with more low precision compute… to help with the memory bandwidth!

[–] kridsdale1 2 days ago

More ASIC Mat-Mul too.