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A 10 year old Xeon is all you need

point.free

171–180 of 301 posts

Re: A 10 year old Xeon is all you need

#171
post #87
post #6

Earlier quoted context omitted.

> (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…

And if you ever run out of things to do in your copious free time, it looks like that PR #1744 was merged without the has_target_ctx assert two days after you uploaded your drafter quants. So you can now redo all your quants and rerun all your benchmarks ;-).

> two days after you uploaded your drafter quants. So you can now redo all your quants and rerun all your benchmarks ;-)

2010s Javascript, putting down the controller: Ha, no one will ever surpass my high score for wasting programmer time with dependency churn...

2026 Open Source ML: Hold my beer.

Re: A 10 year old Xeon is all you need

#173
post #129

Earlier quoted context omitted.

How many kWh to fabricate a brand new machine better suited to the task? As long as performance is useable (apply your own metrics!), pulling it from existing hardware is likely the option with the lower eco footprint. Also: chances are it'll only be used for this purpose occasionally, and/or for a short while. In that scenario [fabricating new hardware] always has the bigger eco footprint.

I don’t know why you’d assume that an older system is lower footprint. If you’ve got something consuming 100 watts average over your 24 hour period, and your electricity costs 20 cents per kWh, you’re already spending almost as much as a Claude subscription. Just on electricity, this assumes your hardware never fails and you never incur any additional costs. There’s a big reason why newer more efficient hardware is i…

You mention lower footprint but then make a cost comparison against Claude subscription pricing.

Claude subscription pricing is a broken way to consider footprint.

Re: A 10 year old Xeon is all you need

#176
post #51
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.…

"-t 8 matches physical cores. The machine has 16 SMT threads but only 8 cores. On a memory-bound workload, oversubscribing threads adds scheduling cost without adding throughput: the cores are waiting on DDR3, not on each other." But ... isnt that a classic use case for SMT? Giving T1 sth. to do while T0 is waiting on DDR(3) and vise-versa? I also dont understand the explanation of "--cpu-moe". If an expert has ~ 4.0…

[deleted]

Re: A 10 year old Xeon is all you need

#177
post #84

We’re not there yet, but the obvious endgame of the present bubble insanity is open models running on local hardware and devices are “good enough” for most use cases. That will completely implode what’s going on at the moment in tech.

I disagree. We are currently in a weird period where these frontier AI companies are losing tons of money even on the subscription-based AI models. It's just too compute intensive and there's no way most people are going to be buying the kind of hardware required to run $20 worth of inference every day. Sadly - it's going to be ads. Advertising is going to get in there and enshittify the whole thing because as always…

$20/day x 250 days per year x # devs/agents/etc = $$$. About $5k per dev at that daily use case.

Enough to validate repurposing an existing workstation with enough RAM, or finding a used high VRAM GPU, or in my case buying a Strix Halo system for home lab and local models.

The future is once again not cloud based, for AI tools.

Re: A 10 year old Xeon is all you need

#178
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.…

Something doesn't add up here. As someone who has only recently built a home-server from an E5-26xx v2 on DDR3 RAM (because I have a sh*tload of 32g DDR3 DIMMs), I can confidently say that the newer cores (E5-26xx v3 and v4) only run on DDR4 memory... So either you have a v2 instead of a v4 (and run on DDR3 memory), or you have a v4 but with DDR4 memory (not DDR3) Everything else doesn't work

This is not true. A few well known brands made both DDR3 and DDR4 servers that support v3 & v4 chips. Ask me how I know :-)

Re: A 10 year old Xeon is all you need

#179
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.…

This seems remarkably suited to my situation,

    CPU(s): 32
      On-line CPU(s) list: 0-31
    Vendor ID: GenuineIntel  
    Model name: Intel(R) Xeon(R) CPU E5-2680 0 @ 2.70GHz

Also with 128G. Does 8 dimm sockets imply more actual bandwidth in practice?

This poor thing is currently a YouTube watching box.

Re: A 10 year old Xeon is all you need

#180

Result is ~12 tokens per second, as reported by OP down in these comments here. An impressive effort, and better than I would have thought possible on this hardware -- but still pretty far short of what one needs for an satisfactory interactive session.

Yeah took way too long to find that result. Being able to run on slow RAM isn't surprising considering you can run a model off an SSD.
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