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Was that cheaper than a Blackwell 6000?

But yeah, 4x Blackwell 6000s are ~32-36k, not sure where the other $30k is going.

I bought the A100s used for a little over $6k each.
Oh, why'd you go that route? Considering going beyond 80 gigs with nvlink or something?
folks have too much money than sense, gpt-oss-120b full quant runs on my quad 3090 at 100tk/sec and that's with llama.cpp, with vllm it will probably run at 150tk/sec and that's without batching.
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> gpt-oss-120b full quant runs on my quad 3090

A 120B model cannot fit on 4 x 24GB GPUs at full quantization.

Either you're confusing this with the 20B model, or you have 48GB modded 3090s.

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You're almost certainly (definitely, in fact) confusing the 120b and 20b models.
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How're you fitting a model made for 80 gig cards onto a GPU with 24 gigs at full quant?
MoE layers offload to CPU inference is the easiest way, though a bit of a drag on performance
Yeah, I'd just be pretty surprised if they were getting 100 tokens/sec that way.

EDIT: Either they edited that to say "quad 3090s", or I just missed it the first time.

you are correct, I did forget to add quad. you should join us in r/localllama

check out what other people are getting. you're welcome.

https://www.reddit.com/r/LocalLLaMA/comments/1nunq7s/gptoss1... https://www.reddit.com/r/LocalLLaMA/comments/1p4evyr/most_ec...

Thanks for the confirmation, wasn't sure if I was just going a bit senile heh. Yeah, I love /r/localllama, some of the best actual practitioners of this stuff on the internet. Also, crazy awesome frankenrigs to try and get that many huge cards working together.

I was considering picking up a couple of the 48 gig 4090/3090s on an upcoming trip to China, but I just ended up getting one of the Max-Q's. But maybe the token throughput would still be higher with the 4090 route? Impressive numbers with those 3090s!

What's the rig look like that's hosting all that?

He said quad 3090 not single
Yeah, pretty sure that was edited in after I commented because 150 toks/sec was also new, but could’ve just missed it.