rkd

joined 3 months ago
[–] rkd@sh.itjust.works 3 points 2 months ago

I can read minds and they're thinking "we better get some money around here, otherwise we're still blaming the immigrants".

[–] rkd@sh.itjust.works 11 points 3 months ago

If they're not great, it's your fault /thread πŸ˜…

[–] rkd@sh.itjust.works 1 points 3 months ago

I believe right now it's also valid to ditch NVIDIA given a certain budget. Let's see what can be done with large unified memory and maybe things will be different by the end of the year.

[–] rkd@sh.itjust.works 2 points 3 months ago

can't have both

[–] rkd@sh.itjust.works 0 points 3 months ago (1 children)

chat is this socialism

[–] rkd@sh.itjust.works 6 points 3 months ago

no more fokin ambushes

[–] rkd@sh.itjust.works 1 points 3 months ago

Trump has entered the chat

[–] rkd@sh.itjust.works 33 points 3 months ago (1 children)

His whole existence is a financial demand. I believe Bloomberg calls this "a transactional period". Put it plainly, y'all elected a corrupt president.

[–] rkd@sh.itjust.works 1 points 3 months ago* (last edited 3 months ago)

For some weird reason, in my country it's easier to order a Beelink or a Framework than an HP. They will sell everything else, except what you want to buy.

[–] rkd@sh.itjust.works 1 points 3 months ago (1 children)

Remind me of what are the downsides of possibly getting a framework desktop for christmas.

[–] rkd@sh.itjust.works 1 points 3 months ago

That's a good point, but it seems that there are several ways to make models fit in smaller memory hardware. But there aren't many options to compensate for not having the ML data types that allows NVIDIA to be like 8x faster sometimes.

[–] rkd@sh.itjust.works 1 points 3 months ago

For image generation, you don't need that much memory. That's the trade-off, I believe. Get NVIDIA with 16GB VRAM to run Flux and have something like 96GB of RAM for GPT OSS 120b. Or you give up on fast image generation and just do AMD Max+ 395 like you said or Apple Silicon.

 

Total noob to this space, correct me if I'm wrong. I'm looking at getting new hardware for inference and I'm open to AMD, NVIDIA or even Apple Silicon.

It feels like consumer hardware comparatively gives you more value generating images than trying to run chatbots. Like, the models you can run at home are just dumb to talk to. But they can generate images of comparable quality to online services if you're willing to wait a bit longer.

Like, GPT OSS 120b, assuming you can spare 80GB of memory, is still not GPT 5. But Flux Shnell is still Flux Shnel, right? So if diffusion is the thing, NVIDIA wins right now.

Other options might even be better for other uses, but chatbots are comparatively hard to justify. Maybe for more specific cases like code completion with zero latency or building a voice assistant, I guess.

Am I too off the mark?

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