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Comment by __float

13 hours ago

"with multiple 3090s" is quite a bit of burying the lede for "most local models work just fine", don't you think?

Having multiple 6 year old cards doesn't seem like it's that big of burden for local LLMs.

I get that a lot of people don't have them. And a single one can be VERY performant. And the smaller models like a 7B can run on much smaller hardware like a mid-range [3|4|5]060.

My entire AI Dev Box cost $4500 in parts. 128GB RAM, i7-10700, 1TB and 2TB SSD, and 2x 3090s. Today's prices and inflation have definitely made that price tag seem a lot better than it was, but it was an investment in all things GPU that were happening in 2020 (crypto, blender, image gen), then LLMs exploded.

  • A single, used 3090 costs more than I have ever spent on a computer.

    • I keep coming back to this: why do I need to run a local model on my own GPU? Open models can run in dedicated clouds and while, yeah, they may be more expensive per token than my own GPU, when accounting for depreciation, energy usage, and opportunity cost (money not spent on my GPU will instead sit in my portfolio appreciating with its particular blend of returns), I'm pretty sure I break even or even net lose money with a GPU.

      Don't get me wrong, there are advantages to a fully local model in that, I can have agents looping 24/7 even when my internet is not working. But this is niche enough that if I had to price the advantages they don't seem worth it.

      If I'm willing to pay the Openrouter tax, I can fire up Openrouter today and just get access to whatever model I want, and still pay a fraction for tokens as what I'm paying with the big guys.

    • My single 3080 runs so hot I don't need to warm my room in winter, and have to play games in my underwear in summer.

    • Unless you value privacy, pay for openrouter. You still get the benefits of cheap tokens and programmatic usage.

      3090 pricing is something of a wild card. Since the only big-mem consume cards are the xx90s, and a 5090 is pushing $5000, resale value has gone way up. The bottom hit ~$700 last year. It's still a very good GPU, if power hungry.

  • I got a great deal on ~72 TB of NVMe right before storage prices shot up, doesn't make it any less ridiculous that I have it or any more relevant to people talking about building a NAS now. 99% of people, even in tech, do not have the stupid amounts of hardware people like us hobby on.

    • Most people in the US have a car, and the average new car is $40,000. Hell where I live a middle class consumer will spend double that on a Boat or an RV and think nothing of it. These aren’t elite tech workers.

      It’s not unfathomable that if a personal, generally intelligent local AI provides enough utility and doesn’t require you to tweak CLI flags millions of Americans would want one.

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  • > 2x 3090s

    You could sell those and have enough money to pay for hosted inference for years.

    • They cost more to run than hosted anyway. But that isn't the point of having them. They are a playground, a backup when the internet is down, or claude is down. They can render Blender scenes pretty well. They play any game I want.

      You can do each of those at various hosts and own nothing. Or own a couple "over priced" cards and do it all at home on battery power for a few hours while the power is out.

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    • But after all those years you’d still have 2 3090s, which are now about 6 years old and still holding value.

    • I keep seeing this comment. This is _hacker news_ where, back in the day, people just hacked on things, because it was a hobby. They weren't "moneymaxxing" or desperately trying to be as insanely efficient as possible. They hacked on stuff with a can of surge at 3am because it was fun.

      Your comment is like a meta comment of "LLMs are generating everything, after a while the ouroboros will eat itself. (Which I agree with)" If people aren't hacking on this shit just because, you have completely conceded control of software to a handful of sociopaths, and open source software is dead.

Not really. 2 years ago that was a pretty normal amount of GPU hardware for a hacker or gamer. It's all relative. They are not accessible to most people yet, but for someone that cares and is a technologist? Likely accessible.