alt Hacker News> I personally dropped $20k on a high end desktop - 768G of RAM, 96 cores, 96 GB Blackwell GPU - last October, before RAM prices spiked […]
768GB of RAM is insane…
Meanwhile, I’ve been going back and forth for over a year about spending $10k on a MacBook Pro with 128GB. I can’t shake the feeling I’d never actually use that much, and that, long term, cloud compute is going to matter more than sinking money into a single, non-upgradable machine anyway.
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Look at the way age gating is going in a global coordinated push. Can control of compute be far behind?
It wasn't my primary motivator but it hasn't made me regret my decision.
I hummed and hawed on it for a good few months myself.
> 768GB of RAM is insane.
Before this price spike, it used to be you could get a second-hand rack server with 1TB of DDR4 for about $1000-2000. People were massively underestimating the performance of reasonably priced server hardware.
You can still get that, of course, but it costs a lot more. The recycling company I know is now taking the RAM out of every server and selling it separately.
Apple hardware is incredibly overpriced.
My home server has 512GB RAM, 48 cores, my 4 desktops are 16 cores 128GB, 4060GPU each. Server is second hand and I paid around $2500 for it. Just below $3000 price for desktops when I built them. All prices are in Canadian Pesos
> spending $10k on a MacBook Pro with 128GB.
As someone who just bought a completely maxed out 14" Macbook Pro with an M5 Max and 128GB of RAM and 8TB SSD, it was not $10k, it was only a bit over $7k. Where is this extra $3k going?
With the way legislation is going these days, self hosting is becoming ever more important. RAM for zfs + containers on k3s doesn't end up being that crazy if you assuming you need to do everything on your own. (at home I've got 1 1tb ram machine, 1 512gb, 3x 128gb all in a k3s cluster with some various gpus about about a half pb of storage before ~ last sept this wasn't _that_ expensive to do)
Your battery is going to suffer because of the extra ram as well.
I don't know your workloads, but for me personally 64 GB is the ceiling buffer on RAM - I can run entire k8s cluster locally with that and the M5 Pro with top cores is same CPU as M5 Max. I don't need the GPU - the local AI story and OSS models are just a toy for my use-cases and I'm always going to shell out for the API/frontier capabilities. I'm even thinking of 48 config because they already have those on 8% discounts/shipped by Amazon and I never hit that even on my workstation with 64 GB.