Live data from Hacker News

A 10 year old Xeon is all you need

point.free

31–40 of 301 posts

Re: A 10 year old Xeon is all you need

#31
What intrigues me the most about AI progress, is not AGI or the model du jour by $AI_UNICORN, but rather what can be run locally. I remember having an amusing, but rather useless model in a beefy gaming PC that I had 6 years ago; and now, something that’s a hundred times better on my M5 laptop.

Should the market react to the memory shortage, the progress of the Apple silicon continue at the same pace, and what we’ll be able to run locally in 6 years will be very exciting. or frightening.

Also I don’t know what this means for the valuation of the AI companies. I remember asking about this very idea to one of their employees at an event and instead of answering he bailed out to grab a cocktail.

Re: A 10 year old Xeon is all you need

#34
Does this mean my 15 year old Phenom is too old? But it has 16 gb of DDR3 RAM!

Admittedly web browsers and it don't get along that well. Literally the only thing that drags though on my Slackware 15 system, and even then usually only when it gets to around 15 or so open tabs.

Re: A 10 year old Xeon is all you need

#36
post #2

Hi HN. I wrote this post after getting frustrated by the lack of ways to run the new Gemma 4 Drafter models, and mainstream tools not prioritizing this, and hiding all the performance levers. I ended up getting a modern 26B MoE model (Gemma 4) running at reading speed on an old recycled server with a single Xeon E5-2620 v4 and 128GB of DDR3 RAM (and no GPU). It took a lot of work, but it actually worked out somehow.…

You sure you got DDR3 .. I have 2 e5 v4 rigs at home and both have ddr4 ... Unless I am wrong and 2011-3 supports ddr3 and ddr4

Re: A 10 year old Xeon is all you need

#37
post #6
post #3

Earlier quoted context omitted.

(purple on black is really hard to read) You say it runs "at reading speed". Have you benchmarked it?

> (purple on black is really hard to read) Noted, and agree (it looks like it has also already been clicked, which I dislike). I honestly I need to redo the themes. > You say it runs "at reading speed". Have you benchmarked it? At some point a few weeks ago, yes I think so, but I didn't write it down for some reason... so I'll have to find a time when it's not busy and do it again without a noisy system. Right now th…

20 tokens per second for eval time is the killer here. It means you can't use this to process any meaningful amount of text.

A GPU typically processes close to 1000 tokens/s during eval.

Re: A 10 year old Xeon is all you need

#38
post #7

@cafkafk got a recommendation for a good model that fits into 64GB and leaves a couple GB free for other tasks ?

Honestly, at this point you're probably looking at a smaller model, for the Gemma series I'd go with Gemma 4 E4B with drafters, but that's just a hunch from using it on my laptop (where I do have a RTX 4060 M and 96gb ram). So you'd change the invocation slightly here, but a lot of things you can potentially reuse. That said, the Gemma 4 E4B models have so far in my experience been... not great when it comes to long…

Have you tested Qwen3.6 35B? Putting aside the capability claims for that model (which I support, but are not my point here), that 35B has smaller active parameter count than the gemma 4 26B, potentially making both prefill and decode faster out of the box, and has MTP heads built in the model and well supported (you may need to make sure you download a quant that didn't strip them off, as some do to preserve space). I would be curious to see your numbers there too. And if you do test this, please go for a clean one and not a fine-tuned one.
Post reply on HN