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PlatoIsADisease 2 hours ago

'fast'

I'm sure it can do 2+2= fast

After that? No way.

There is a reason NVIDIA is #1 and my fortune 20 company did not buy a macbook for our local AI.

What inspires people to post this? Astroturfing? Fanboyism? Post Purchase remorse?

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speedgoose an hour ago | parent [-]

I have a Mac Studio m3 ultra on my desk, and a user account on a HPC full of NVIDIA GH200. I use both and the Mac has its purpose.

It can notably run some of the best open weight models with little power and without triggering its fan.

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PlatoIsADisease an hour ago | parent [-]

>with little power and without triggering its fan.

This is how I know something is fishy.

No one cares about this. This became a new benchmark when Apple couldn't compete anywhere else.

I understand if you already made the mistake of buying something that doesn't perform as well as you were expecting, you are going to look for ways to justify the purchase. "It runs with little power" is on 0 people's christmas list.

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speedgoose 41 minutes ago | parent [-]

It was for my team. Running useful LLMs on battery power is neat for example. Some simply care a bit about sustainability.

It’s also good value if you want a lot of memory.

What would you advice for people with a similar budget? It’s a real question.

	▲	PlatoIsADisease 20 minutes ago \| parent [-]
		But you arent really running LLMs. You just say you are. There is novelty, but not practical use case. My $700, 2023, 3060 laptop runs 8B models. At the enterprise level we got 2, A6000s. Both are useful and were used for economic gain. I don't think you have gotten any gain.